Wave Synchronizing Crane Control during Water Entry in Offshore. Moonpool Operations Experimental Results

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Wave Synchronizing Crane Control during Water Entry in Offshore Moonpool Operations Experimental Results Tor A. Johansen 1, Thor I. Fossen 1, Svein I. Sagatun, and Finn G. Nielsen Abstract A new strategy for active control in heavy-lift offshore crane operations is suggested, by introducing a new concept referred to as wave synchronization. Wave synchronization reduces the hydrodynamic forces by minimization of variations in the relative vertical velocity between payload and water using a wave amplitude measurement. Wave synchronization is combined with conventional heave compensation to obtain accurate control. Experimental results using a scale model of a semi-submerged vessel with a moonpool shows that wave synchronization leads to significant improvements in performance. Depending on the sea state and payload, the results indicate that the reduction in the standard deviation of the wire tension may be up to 5 %. 1 Introduction Higher operability of installations offshore of underwater equipment will become increasingly more important in the years to come. Offshore oil and gas fields will be developed 1 Department of Engineering Cybernetics, Norwegian University of Science and Technology, N-791, Trondheim, Norway. Tor.Arne.Johansen@itk.ntnu.no, tif@itk.ntnu.no Norsk Hydro Exploration and Production, Bergen, Norway. Svein.Ivar.Sagatun@hydro.com, Finn.Gunnar.Nielsen@hydro.com with all processing equipment on the seabed and in the production well itself. Norsk Hydro has already one year of operational experience with the Troll Pilot subsea oil processing plant. This subsea plant is made up of a three phase subsea separator, a 1. MW electrical single phase pump and a reinjection tree; everything located on 3 m water depth outside the west coast of Norway. Process equipment like subsea electrical multi phase pumps, subsea and down hole separators, frequency converters, electrical distribution, manifolds, control and instrumentation systems are all process system components which are ready for use in subsea production. The lower cost in using subsea equipment compared to using a floating or fixed production platform is penalized with lower availability for maintenance, repair and replacement of equipment. Production stops due to component failure is costly, hence a high operability on subsea intervention is required to operate subsea fields. High operability implies that subsea intervention must be carried out also during winter time, which in the North Sea and other exposed areas implies underwater intervention in harsh weather conditions. Standard industrial heave compensation systems applied to offshore cranes or module handling systems (MHS) have been used by the industry for years, see for instance [1,, 3,, 5] and references therein. These systems normally work p. 1

with acceleration feedback or feedforward, where the vertical acceleration is measured on the vessel, on the crane boom, or MHS structure. Alternatively, a passive spring-damper mechanism together with position control of the crane hook is used for heave compensation during the water entry phase. This article focuses on active control of heave compensated cranes or MHS during the water entry phase of a subsea installation or intervention. We assume that the payload is launched through a moonpool from a typical mono hull installation vessel, see Fig 1. During the water entry phase the hydrodynamic loads due to waves within the moonpool may be significant, and not directly accounted for in a heave compensation system. The main contribution of the present work is the use of moonpool wave amplitude feedforward control in order to achieve wave synchronized motion of the payload through the water entry zone. We believe this concept is new. The paper is organized as follows In Section we describe a mathematical model of a 13 scale model semi-submerged vessel with moonpool and crane/payload. A frequency analysis of the crane system is given in Section 3. Based on this model and analysis, a wave synchronizing control strategy is derived in Section, and experimentally verified using the scale model in the Marine Cybernetics laboratory (MCLab []), as described in Section 5. Some conclusions are presented in Section. A short preliminary version of this paper is [7]. Figure 1 An example of multipurpose intervention vessel equipped with a moonpool and a MHS. vessel. It is assumed that the vessel is kept in a mean fixed position and heading relative to the incoming wave. Effects from the vessel s roll and pitch motion are neglected..1 Dynamics of scale model crane-vessel In this section we describe the rigid-body dynamics of a laboratory scale model moonpool crane-vessel (scale 13), see Figures and 3 of a setup consisting of an electric motor and a payload connected by a wire that runs over a pulley suspended in a spring. The spring is designed to simulate a realistic wire elasticity in the scale model. We remark that this setup contains no passive heave compensation system. The equations of motion for the motor and payload are Mathematical modelling We will only consider the vertical motion of a payload moving through the water entry zone, handled from a floating m m z m = F m + F t (1) m( z + z ) = mg + f z F t () where z m = Rθ m, m m = J m =R, F m = T m =R, and p.

Figure Rig-crane scale model. Figure 3 Definition of the coordinate systems. θ m = motor angle (rad) R = radius of the pulley on the motor shaft (m) J m = motor inertia (kg=m) T m = motor torque (Nm) m = payload mass (kg) z = vessel position in heave (m) z = payload position (m) z m = ζ = wave amplitude at center of moonpool (m) F t = wire f z = hydrodynamic and static force on payload (N) All coordinate systems and forces are positive downwards. The coordinate systems of z;z m and z p are fixed in the vessel, while the coordinate systems of ζ and z are Earth-fixed, see Figure 3. All have the origin at the still water mean sea level. The wire runs over a pulley suspended in a spring. The mass moving with the pulley is denoted m p, and the vertical position of the pulley is z p. The equation of motion for the pulley is m p z p + d p ż p + k p z p = F t (3) where d p is the damping coefficient and k p the spring coeffecient. Substitution of z = z m + z p into (3) gives the following expression for the wire force F t = m p ( z z m )+d p (ż ż m )+k p (z z m ) (). Loads and load effects The hydrodynamics in this section is based on references [, 9] and references therein. Let z r denote the vertical position of the payload relative to the wave surface elevation ζ in the center of the moonpool, with z r > when the payp. 3

load is submerged, see Figure 3. The vertical hydrodynamic load on a product going through the water entry zone may be expressed as the sum of forces from potential theory f zp and viscous forces f zv. The force f zp may be expressed as follows f zp = ρgo (z r ) ρo (z d fi φfi r ) fi dt z fi z d» dz + Z (z φ dt z r ) r dt (5) z The term O (z r ) represents the instantaneous submerged volume and φ is the scalar wave velocity potential function defined such that φ z and d φ dt z become the wave velocity and acceleration in the z- direction respectively. ρ and g represent density of water 1 kgm 3 and constant of gravity 91 ms 1 respectively. The term Z (z z r ) is the (position depended) added mass of the product in the z-direction. r The second term on the right hand side of (5) represents Froude- Kriloff pressure forces and is by definition only depended of the velocity of the water particles. The velocity potential may for infinite water depth be written as φ = gζ a ω e kz cos(ωt kx) () where the wave number k and the wave profile ζ (t) is defined as k = ω =g and ζ (t) =ζ a sin(ωt kx). ω and ζ a denote the wave frequency and amplitude respectively. The time varying sea surface elevation can be represented as a sum of a large number of wave components, thus N ζ (t) = j=1 A j sin(ω j t k j x + ε j ) (7) where A j and ε j are the Fourier amplitude and the constant random phase for the j the wave component. The total number N of Fourier amplitudes used in a wave spectrum approximation may be set to 1. The Fourier amplitudes A j are found from the wave power spectrum S(ω) as A j = p S(ω) ω where ω is the difference in frequency in the spectrum S(ω) used to approximate A j. The wave power spectrum has unit ms and represents the power in the waves as function of frequency. Notice that (5) only consider loads derived based on potential theory. We will also have a viscous drag on the submerged product on the form f 1 zv = ρc D A fi fi pzz r fi z rfi dl z r () where C D is the drag coefficient and A pz is the projected ef- ficient drag area in the vertical direction. The force d l z r represents the linear drag. Hence the hydrodynamic and static forces acting on the object become f z = ρgo (z r ) ρo (z r ) z Z (z) z z r r (z z r ) r z 1 r z r ρc D A pz Z fi z r fi fi z rfi dl z r (9) Notice that the impulsive hydrodynamic slamming loads generated when waves hit the product represented by Z directed upward since Z z r z r Z zr (z r) z r zr z r z r is >. The slamming parameter is often written as 1 ρa sc s in the literature, where A s and C s is denoted efficient slamming area and slamming coefficient respectively. The position depended added mass (z z r ) is usually on the following form r Z Z = z r >< > ; z» z o Z = Z (z) > ; z r z r z > z > z o Z = Z ß const; z z r z r 1 z (1) where z o and z are the levels where the product first hit the water and when the wave dynamics is negligible respectively. The function Z (z z r )=m is usually in the range of 1 3to5 r where the latter value is the constant limit and the former is when z < r where r is a characteristic radius of the product. We refer to [1] Part chapter and [11] for rules and p.

regulations and more detailed mathematical modelling of the water entry problem. Equation (7) refer to the wave elevation for undisturbed sea. Resonance oscillations of the wave elevation may occur in the moonpool. The linearized wave elevation dynamics in the moonpool may be formulated as follows, [] d ζ dt + d mζ g + ζ 1 φ(ζ ) = h m h m t (11) Figure Payloads used during experiments sphere and offshore pump mounted inside an open frame. where h m is the still water depth of the moonpool with constant circular cross section. Notice that the moonpool s natural frequency is ω m = p g=hm. This is in the same range as the peak frequency of S(ω), thus resonance behavior will occur. The linearized damping parameter d m may be set to d m = d mq h m p =πσ ζ where d mq = 1 ρc Dm A m and σ ζ is the standard deviation of the velocity of the wave elevation in the moonpool, [1] pp. 33-37. C Dm and A m are the drag coefficient and the characteristic drag area in the moonpool respectively..3 Experimental setup and instrumentation pool there are wave meters measuring the wave amplitude in a vessel-fixed coordinate frame, i.e. ζ (t) =ζ (;t) z (t). The motor position z m is measured using an encoder. 3 Frequency analysis It can be shown, see [13], that eqs. (1), () and () lead to the following transfer functions from motor speed to payload position and wire tension, respectively, when f z = The total scale model mass is 157 kg with a water plane area of.3 m and moonpool depth h m = 9 m. Further details can be found in [13, 1]. We consider several payloads, including a sphere and a pump z (s) ż m = F t (s) ż m = m ω3 1 ω ω3 ω s» s + d ω s + ω s s + d 3 ω 3 s + ω3» s + d ω s + ω s + d 3 ω 3 s + ω 3 (1) (13) mounted inside an open frame, see Figure. The standard payload is a sphere with diameter.9 m and mass 5 kg. In full scale, this corresponds to a payload diameter of 7 m with mass 155 tons. The winch motor is an AC servomotor with an internal speed control loop. There are vertical accelerometers in both the payload and vessel, and a wire tension sensor. In the moon- where s is the complex variable in the Laplace transform, and ω = ω 3 = q ω 1 = k δ =m δ ; d d δ 1 1 = p mδ k δ s 1 ω ω 1 m m =m 1 ; d = d δ ω 1 1 s 1 ω3 ω 1 + m=m 1 ; d 3 = d 1 δ ω 1 p. 5

T.f. from motor speed to payload acceleration, parametric (red) and non parametric (blue) T.f. from motor speed to wire tension, parametric (red) and non parametric (green) Amplitude 1 Amplitude 1 1 1 1 1 1 1 1 1 1 1 Phase (deg) 3 1 1 1 1 1 1 Frequency (rad/s) Phase (deg) 5 3 1 1 1 1 1 Frequency (rad/s) Figure 5 Parametric and non-parametric estimates of the transfer function z=ż m (s). Figure Parametric and non-parametric estimates of the transfer function F t =ż m (s). satisfying the relationship ω 3 < ω 1 < ω. The parameters are given by estimates of the transfer function from motor speed to wire tension, using the parametric model m t = m + m m m δ = m m + m p (m t =m) d δ = d p (m t =m) k δ = k p (m t =m) Figure 5 compares the non-parametric and parametric estimates of the transfer function from motor speed to payload acceleration, using the parametric model z (s) =s z (s) (1) ż m ż m with the parameters ω = 39 rad=s, ω 3 = 5 rad=s, d = 15 rad=s and d 3 = rad=s for a cylinder shaped payload. The models were identified using experimental data containing several steps in the reference speed, [13]. Likewise, Figure compares the non-parametric and parametric F t ż m (s) = m z ż m (s) (15) It is emphasized that in the above mentioned experiments the data were generated while the payload was excited freely in the air. When the payload is partly or fully submerged, the hydrodynamic force f z given by (9) must be taken into account. This leads to increased damping and effects of added mass and its time-derivative. Depending on parameters such as the size, shape, mass, position and velocity of the payload, a significant reduction in the resonance frequencies (ω ;ω 3 ) and increase in the relative damping factors (d ;d 3 ) are experienced. ω 3 = rad/s is the experimentally determined wire resonance frequency with the spherical payload with mass of.57 kg, when the payload is moving in air, [15]. Typical values of ω 3 with the payload in submerged condip.

.5 moonpool amplification ( ) Compensator strategies We focus on feedforward compensator strategies, since the 1.5 1 main disturbances can be estimated reliably from measurements, and the wire/suspension elasticity introduces resonances that give fundamental limitations to the achievable.5..7..9 1 1.1 1. 1.3 1. 1.5 wave period (s) Figure 7 Ratio between wave amplitudes in moonpool and basin as a function of basin wave period (least squares curve fit). Notice the resonance at T m = 13 s. tion are 31 rad/s to rad/s, [15]. The frequency-dependent ratio between wave amplitudes inside the moonpool and in the basin is illustrated in Figure 7. The data are experimental and based on a frequency-sweep using regular waves at cm amplitude. We notice the characteristic resonance near the period T m = 13s,orω m = 3 rad/s, see also [1]. Typical vessel heave frequencies are in the range» ω heave» 9 rad/s. The natural frequency of the heave motion of the vessel was found experimentally to be approximately ω heave = rad/s, see also [1, 17]. A first order model of the transfer function from the reference speed ż d to the motor speed ż m is ż m (s) = e 1s ż d 1 + s (1) The time-delay is mainly due to digital communication between the motor drive and control units. At ω = 3 rad/s the motor gives a phase loss of approximately 1 deg. feedback control bandwidth. The main performance measures of interest are the wire tension and hydrodynamic forces on the payload. The minimum value must never be less than zero to avoid high snatch loads, and the peak values and variance should be minimized..1 Active heave compensation The objective of a heave compensator is to make the payload track a given trajectory in an Earth-fixed vertical reference system. This means that the payload motion will not be influenced by the heave motion of the vessel. This is implemented using feed-forward where an estimate ẑ of the vessel s vertical velocity (in an Earth-fixed vertical reference system) is added to the motor speed reference signal ż Λ m commanded by the operator or a higher level control system ż d = ż Λ m + ẑ (17) The vessel vertical velocity ż can be estimated using an estimator which essentially integrates an accelerometer signal and removes bias using a high-pass filter because it can be assumed that the vessel oscillates vertically around zero Earthfixed position (mean sea level) ẑ (s) = H hp (s) s z (s) (1) where z is the measured vessel acceleration and H hp (s) is a nd order high-pass filter with cutoff frequency below the p. 7

significant wave frequencies H hp (s) = s ω c + 5 ω cs + s (19) with cutoff frequency ω c = 137 rad/s, well below significant wave frequencies.. Wave synchronization Wave amplitude measurements can be used in a feed-forward compensator to ensure that the payload motion is synchronized with the water motion during the water entry phase. An objective is to minimize variations in the hydrodynamic forces on the payload, j f zd (z r )j, where f zd = ρo (z r ) z Z (z z r ) z r r Z z r (z r ) z r 1 ρc D A fi fi pzz r fi z rfi dl ż r () This equation represents the dynamic part of (9). The first term of () is the Froude-Kriloff pressure force. The second term represents the contribution of the added mass, while the third term contains the slamming loads. The fourth term is the viscous drag on the payload. Rather than minimizing this expression explicitly, we observe that a close to optimal solution is achieved by minimizing variations in ż r, the relative vertical velocity of the payload and water. Since z z r = z ζ (1) we get the approximation ż r ß ż ζ κ(z) by assuming that the wave amplitude decays with depth according to the function κ(z). Hence, wave synchronization is achieved by the feed-forward compensator ż d = ż Λ m + ˆζ κ(z) () where ˆζ is an estimate of the velocity of the wave surface elevation inside the moonpool (in a vessel-fixed coordinate frame). The factor κ(z) accounts for the dependence of the water vertical velocity on water depth. Since the moonpool operates as a piston in a cylinder, the water vertical velocity may be assumed to be approximately constant from the wave surface to the bottom of the moonpool, and decay exponentially below this point >< 1; z» h m κ(z) = (3) > exp( k(z h m )); z > h m Since this control should only be applied during the water entry phase, we introduce the factor α(z) and blends the wave synchronization with heave compensation ż d = ż Λ m + ˆζ α(z)κ(z)+ ẑ (1 α(z)κ(z)) () The position-dependent factor α(z) goes smoothly from zero to one when the payload is being submerged, for example α(z) = >< > ; z < 1 1(z + 1); 1» z» 1; z > (5) The feedforward () contains both wave synchronization and heave compensation, and when z is large this expression coincides with the heave compensator (17). Also notice that when the water inside the moonpool does not move (ζ =, which gives ζ = z ) the wave synchronization () also coincides with the heave compensator (17) for all z. The wave amplitude ζ relative to a vessel-fixed position inside the moonpool is measured. The wave amplitude velocity ζ is estimated by filtering and (numerical) differentiation ˆζ (s) = sh lp (s)h notch (s)ζ (s) () The low pass filter H lp (s) is composed of a nd order critically damped filter at rad/s and a nd order critically p.

damped filter at rad/s. In order to avoid exciting the wire resonance, we have introduced a notch filter H notch (s) = s + 1 ω n + ω n s + 5 ω n + ω n (7) typically tuned at ω n ß ω 3. In the experiments we used ω n = 37 rad/s. A block diagram illustrating the wave synchronization is given in Figure. Figure 9 MCLab basin m.5 m 1.5 m. see Figure 7, and the wave amplitude inside the moonpool is about times the basin wave amplitude. The equivalent wave height in full scale is around H s = 11 m. ffl Spherical payload in regular waves with period T = 1 s and amplitude A = cm. At this frequency Figure Wave synchronization block diagram. there is no resonance. The equivalent wave height in full scale is around H s = 1m. 5 Experimental results In this section we summarize experimental results with the heave compensation and wave synchronization control strategies described above. More data and results with several payloads in regular and irregular waves can be found in [1]. The experiments were carried out in the MCLab [] at NTNU, see Figure 9. The two scenarios we present here represent typical performance improvements that can be achieved ffl Spherical payload in regular waves with period T = We present both raw and filtered wire tension data. The filtered data contains mainly components in the frequency band between 3.1 rad/s and 9. rad/s, where the significant wave motion is located (the filtering is carried out using th order filters with no phase shift). This filtering allows the effects of the wave synchronization to be separated from other effects, since this is the frequency band where the wave synchronization is effective. It is therefore natural to verify the performance of the wave synchronization on the filtered data, neglecting low-frequency components due to buoyancy and high-frequency components due to measurement noise and wire/suspension resonances. Still, it is also of interest to 15 s and amplitude A = 1 cm. This wave frequency is close to the moonpool resonance frequency, evaluate the performance of the wave synchronization with p. 9

respect to excitation of the wire/suspension resonance. This evaluation is, however, not straightforward to carry out since the laboratory model does not contain passive heave compensation or damping. Moreover, the excitations caused by signal noise and winch motor drive are not directly scalable to a full scale implementation and must be considered in the context of the technology used for implementation. Thus, we will base our conclusions mainly on the filtered data. 5.1 Regular waves at T = 15 s and A = 1 cm Figure 1 shows the payload position and wire tension for test series B (two tests A and B are carried out at each sea state to verify repeatability) with the spherical payload, with and without control. The following observations and remarks can be made ffl The wave synchronization reduces the tension standard deviation by 5. % in test A and 1. % in test B, compared to no control, when considering filtered data. Wave synchronization in combination with heave compensation reduces the tension standard deviation by. % in test A and 1. % in test B, compared to no control, when considering filtered data. ffl The peak minimum tension is changed from 1.1 N to 1.5 N using wave synchronization in test A and from 1.3 N to 1.5 N in test B, compared to no control, when considering filtered data. This is beneficial as it reduces the possibility of wire snatch. The peak maximum tension is somewhat increased with the wave synchronization. ffl The use of heave compensation does not give any significant reduction of tension variability in this sea state. However, it gives significant reduction of the standard deviation of the payload acceleration. The reason for this is that the heave motion is fairly small compared to the resonant moonpool water motion. ffl When considering the unfiltered data, similar qualitative conclusions can be made. ffl For the pump-in-frame payload, the wave synchronization reduces the tension standard deviation by 7. % in test A and 1. % in test B, compared to no control, when considering filtered data. Wave synchronization in combination with heave compensation reduces the tension standard deviation by.9 % in test A and 15.3 % in test B, compared to no control, when considering filtered data. 5. Regular waves at T = 1 s and A = cm Figure 11 shows the payload position and wire tension for test series B with the spherical payload, with and without control. We make the following observations and remarks ffl The wave synchronization reduces the tension standard deviation by 31. % in test A and 33.1 % in test B, compared to no control, when considering filtered data. Wave synchronization in combination with heave compensation reduces the tension standard deviation by.1 % in test A and 5. % in test B, compared to no control, when considering filtered data. ffl The minimum tension is changed from 1.3 N to 1.3 N using wave synchronization in test A and from 1.59 p. 1

N to 1.7 N in test B, compared to no control, when considering filtered data. ffl The use of heave compensation alone gives significant reduction of tension variability in this very rough sea state, namely 5.3 % in test A and 5.9 % in test B. This indicates that significant reduction in tension variance can be achieved by either heave compensation or wave synchronization, but largest reduction is achieved by combining them. ffl When considering the unfiltered data, similar qualitative conclusions can be made in most cases. ffl For the pump-in-frame payload the wave synchronization reduces the tension standard deviation by 3.9 % in test A and 3.5 % in test B. Wave synchronization in combination with heave compensation reduces the tension standard deviation by 1. % in test A and 53. % in test B, when considering filtered data. 5.3 Discussion Wave synchronization, either alone or in combination with heave compensation, significantly reduces wire tension variability and peak values in a large majority of the tests. However, under some sea states and for some payloads, no or only small improvement was experienced. The experiments with regular waves showed good repeatability, giving consistent conclusions with different experiments under the same sea state. Overall, the results are encouraging, showing that wave synchronization has a significant benefit in terms of reduced tension variability and peaks at least under some sea states and with some payloads. Some limitations to performance and sources to uncertainty has been identified First, the feedforward approach leads to a phase error, due to the dynamics of the motor and signal filtering. In our experimental setup this error is significant, and not compensated for. For a wave period of 1. s, the phase loss in the motor is 1 degrees and the phase loss in the filtering of the wave amplitude measurement is about 5 deg. The total phase loss is around 37 deg. It is therefore clear that the use of some model-based predictor of the wave amplitude may lead to significant improvement of performance. Second, the wire/suspension resonance is being excited, also without the use of wave synchronization or heave compensation. The use of heave compensation or heave compensation reduces the excitations of the resonance in most cases with the spherical payload, while the excitations of the resonance seems to be typically increased with the pump-in-frame payload. There are several possible sources for these excitations 1. Even with constant speed reference the AC motor drive exhibit oscillations with significant frequency components in area where the resonance frequency is.. The water flow inside the moonpool or the heave motion of the vessel may contain frequency components that give hydrodynamic forces that excite the wire resonance. 3. Measurement noise may excite the resonance frequency. Since there is very little damping in the suspension and the resonance frequency is less than a decade above from typical wave frequencies, any filterp. 11

Wave synchronization Heave compensation 5 7 75 15 19 195 Wave sychronization and heave compensation No control 95 1 15 11 115 Wave synchronization.. 35 35 355 3 35 Heave compensation........ 5 7 75 Wave sychronization and heave compensation.. 15 19 195 No control........ 95 1 15 11 115 35 35 355 3 35 Figure 1 Experimental results with regular waves at T = 15 s and A = 1 cm, spherical payload, test B. For the wire tension we show both raw data (thin lines) and low-pass filtered data (thick lines). The payload position (measured using the motor shaft encoder) is in a vessel-fixed coordinate frame, with zero at mean sea level. p. 1

Wave synchronization Heave compensation 5 7 75 15 19 195 5 Wave sychronization and heave compensation No control 11 115 1 15 13 335 3 35 35. Wave synchronization. Heave compensation........ 5 7 75 15 19 195 5 Wave sychronization and heave compensation.. No control........ 11 115 1 15 13 335 3 35 35 Figure 11 Experimental results with regular waves at T = 1 s and A = cm, spherical payload, test B. For the wire tension we show both raw data (thin lines) and low-pass filtered data (thick lines). The payload position (measured using the motor shaft encoder) is in a vessel-fixed coordinate frame, with zero at mean sea level. p. 13

ing will lead to phase loss as described above. A further complication is that the resonance frequency depend on payload mass and position-dependent hydrodynamic properties such as added mass. Improvements may be expected by adaptive notch filtering, in combination with wave prediction. Obviously, the technical solutions for wave measurements, signal transmission and electronics may be modified to reduce the overall noise level. Noise is amplified due to numerical differentiation when computing the wave surface speed from the wave amplitude measurements, and alternative methods to measuring the relative velocity of the water and payload are of interest. may have an effect for streamlined bodies, like the sphere, but may most likely be neglected for bluff bodies since the separation point (of vortices) becomes the same for scaled and full scale bluff bodies. Damping is normally over predicted in model scale experiments due to viscous effects. This causes an under prediction of the response which is important to take into account when transferring the experimental data to full scale. The effects from elasticity are well taken care of tin the model scale since all frequencies are scaled correctly. Conclusions It is shown via scale model experiments that the performance of offshore moonpool crane operations can be significantly improved by wave synchronization in combination with heave compensation. This can be implemented as a The experiments are scaled with respect to the Froude number, a dimensionless number defined as the fraction between the inertial and gravitational forces Fr = z= p gr where r is a characteristic radius. Thus, all elastic effects are well accounted for as long as the frequencies are properly scaled. Frequency in the model scale f m is scaled with λ 1, that is f = λ 1 f m where λ = 3 is the scale used in the experiments. Viscous effects are normally scaled with respect to the Reynolds number. The Reynolds number is dimensionless variable which represents the fraction between inertia and viscous effects defined as follows Re = ζ r=ν where ν is kinematic viscosity. The relationship between full scale and the model scale Reynolds numbers when using Froude scale becomes Re = λ 3 Re m where the subscript m denotes model scale. A typical Reynolds number in the experiments is 5 1 while the Reynolds number in the full scale case normally is in the range of 1. This discrepancy in Reynolds number feedforward compensator within an active heave compensation system, using measurement of the wave amplitude in the moonpool. Acknowledgements The authors are grateful to Marintek for kind assistance during the experiments. References [1] NSLT, The 5th North Sea Offshore Crane Conference, Aberdeen, Scotland, Norwegian Society of Lifting Technology (NSLT),. [] NSLT, Underwater Lifting Operations, Stavanger, Norway (in Norwegian), Norwegian Society of Lifting Technology (NSLT),. [3] NSLT, The 3th International Offshore Crane Conferp. 1

ence, Kristiansand, Norway, Norwegian Society of Lifting Tech. Rep. 1-1-T, http//www.itk.ntnu.no/research/- Technology (NSLT), 199. HydroLab/reports/hydrolaunch model.pdf, Department of [] S. I. Sagatun, T. I. Fossen, and K. P. Lindegaard, Inertance control of underwater installations, in Preprint IFAC CAMS, Glasgow, Scotland, 1. [5] U. A. Korde, Active heave compensation on drillships in irregular waves, Ocean Engineering, vol. 5, pp. 51 51, 199. [] MCLab - Marine Cybernetcs Laboratory, Trondheim, http//www.itk.ntnu.no/marinkyb/mclab/,. [7] S. I. Sagatun, T. A. Johansen, T. I. Fossen, and F. G. Nielsen, Wave synchronizating crane control during water entry in offshore moonpool operations, in Proc. IEEE Conf. Control Applications, Glasgow,. [] O. M. Faltinsen, Sea Loads on Ships and Offshore Structures, Cambridge University Press, New York, 199. [9] J. N. Newman, Marine Hydrodynamics, Cambridge, MA MIT Press, 1977. Engineering Cybernetics, NTNU, Trondheim, Norway, 1. [1] T. A. Johansen and T. I. Fossen, Observer and controller design for an offshore crane moonpool system, Tech. Rep. 1-13-T, http//www.itk.ntnu.no/research/- HydroLab/reports/hydrolaunch control.pdf, Department of Engineering Cybernetics, NTNU, Trondheim, Norway, 1. [15] T. A. Johansen and T. I. Fossen, HydroLaunch free decay tests, Tech. Rep. 1-1-T, http//www.itk.ntnu.no/- research/hydrolab/reports/hydrolaunch free decay.pdf, Department of Engineering Cybernetics, NTNU, Trondheim, Norway, 1. [1] F. G. Nielsen, Coupled hydrodynamics for the HydroLaunch vessel with load, Working note, Norsk Hydro, Exploration and Production, Bergen, Norway, http//www.itk.ntnu.no/research/hydrolab/reports/- HydroLab dynamics.pdf,. [17] M. P. Fard and F. G. Nielsen, Simulation of coupled vessel-load dynamics, Tech. Rep. [1] DnV, Rules for Planning and Execution of Marine Operations, DnV, Norway,. [11] M. Greenhow and L. Yanbao, Added masses for circular cylinders near or penetrating fluid boundaries - review, NH-39, http//www.itk.ntnu.no/research/hydrolab/- reports/fard.pdf, Norsk Hydro, Exploration and Production, Bergen, Norway, 1. extension and application to water-entry, -exit and slamming, J. Ocean Engineering, vol. 1, pp. 35 3, 197. [1] W. Price and R. Bishop, Probabilistic Theory of Ship Dynamics, London, UK Chapman and Hall, 197. [13] T. I. Fossen and T. A. Johansen, Modelling and identification of offshore crane-rig system, p. 15