DESIGN SUPPORT FOR MOTION CONTROL SYSTEMS Application to the Philips Fast Component Mounter


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1 DESIGN SUPPORT FOR MOTION CONTROL SYSTEMS Application to the Philips Fast Component Mounter Hendri J. Coelingh, Theo J.A. de Vries and Jo van Amerongen Dreel Institute for Systems Engineering, ELRT, University of Twente, P.O. Box 7, 7500 AE Enschede, The Netherlands Phone: , Fax: Astract: In (Coelingh, 000) tools have een developed that support mechatronic design of controllers for electromechanical motion systems. In order to evaluate and illustrate application of some of these tools, an industrial motion system, the placement module of the Philips Fast Component Mounter, is considered. The presented design support helps the designer to more easily gain insight in the design prolem, without requiring advanced control engineering sills, while indicating whether performance and roustness demands of the final design are eing satisfied. Important consequences are that etterfounded design decisions can e made and that the required overall development time decreases significantly.. INTRODUCTION Gloal maret developments show an increasing need for electromechanical motion systems with higher performance and good reliaility that are developed within shorter time. This can e illustrated y considering current developments in electronics. Technological advances lead to larger variations in the size of electronic components and to components with more pins. As a consequence, the requirements for assemly machines for printed circuit oards (PCB s) are changing. Assemly operations must e performed more flexily, faster and with higher accuracy. These demands can e partially met y the application of a mechatronic design approach (Van Brussel, 996; Van Amerongen, 000). The design of the control system should e considered as a part of the design of the system as a whole. To fully exploit the advantages of mechatronic design a deep understanding of the design prolem has to e otained. This formed the motivation for the development of design support for motion control systems, as descried in (Coelingh, 000). In here, the aim of research was defined as: Enhance (mechatronic) design of control systems for electromechanical motion systems, such that insight in the design prolem is otained more easily, the control engineering sills required of the designer decrease and performance and roustness properties of the final design improve. As a result, the required development time should decrease. In order to evaluate and illustrate application of the tools descried in (Coelingh, 000), we consider an industrial motion system: the placement module (PM module) of the Philips Fast Component Mounter (Philips, 000). This machine is capale of placing 60,000 components on PCB s per hour, under nominal conditions. The FCM comprises a series of up to 6 servocontrolled picandplace roots, the socalled PM modules. In Fig. a schematic diagram of the motion in ydirection, i.e. the long stroe of the PM module is shown. Fig. The placement module of the FCM. The design support has een developed for application in a mechatronic design process, where a realisation of the complete electromechanical
2 susystem is not existing during the design of the control system. However, the actual design of other susystems than the control system is out of the scope of this paper. Therefore, an existing PM module is used. It is not an ojective to maximise the performance of this specific PM module, using detailed nowledge of the plant dynamics otained from system identification. Rather, our aim is to satisfy the requirements in a short design cycle. We will only use that plant nowledge that generally would have een availale at a particular design stage. The designed control systems will e applied without additional tuning, in order to get a fair impression of their practical relevance. In section, a simple model of the PM module is uilt and the assessment method for conceptual design is applied. In section 3, the plant model is extended with additional dynamic effects and a structured design method is applied. Section 4 discusses the practical realisation of the different control systems. Section 5 presents the conclusions. The tas that is actually used in simulations and experiments also includes a period of 0.05 [s] with constant maximum velocity (Tale ).. Characterisation of the plant dynamics For conceptual design a plant model is used that only represents the dominant dynamic ehaviour of the electromechanical system, consisting of the rigid ody mode and the first mode of viration. In Fig. a socalled standard model is indicated that represents the PM module. In (Coelingh, 000) four standard models (classes) are descried that represent 4thorder electromechanical plant models, each with the dominant compliance located in another mechanical susystem, e.g. mechanism, frame, guidance or actuator suspension (as in Fig. ).. CONCEPTUAL DESIGN The conceptual design stage is crucial in a mechatronic design process. Here, the functional interaction etween domain specific susystems is determined (De Vries, 994). Therefore, an assessment method is formulated that supports the design of a feasile reference path generator, control system and electromechanical plant with appropriate sensor locations, in an integrated way. This method is ased on the wor of (Groenhuis, 99).. Characterisation of the tas A dimensional motion along the spindle of the PM module is considered. The corresponding tas is to place a component with an accuracy of 00 [µm] at 30 [ms] after the motion time. The maximum velocity and acceleration of the system are specified as [ms  ], respectively 0 [ms  ] (Philips, 998). A seconddegree reference path is used, that is characterised y a motion distance h m of 0. [m] and a motion time t m of 0. [s]. This is the characteristic tas of the controlled system, i.e. the performance otained for this tas is characteristic for the controlled system, as it only consists of acceleration and deceleration (Koster et al., 999). Tale Specifications for the PM module quantity value maximum error (after t s ) e 0 00 [µm] motion time t m 50 [ms] motion distance h m 0.5 [m] settling time t s 30 [ms] maximum acceleration a max 0 [m/s ] maximum velocity v max [m/s] Fig. Standard model of the PM module. This model is otained y simplifying and reducing a plant model that was uilt from several component models. The corresponding parameter values are indicated in Tale, where the motor mass m m is a transformed quantity that contains the inertia of the motor, the pulleys and the spindle. Tale Parameter values for standard model quantity value motor mass m m 6.53 [g] endeffector mass m e.3 [g] frame mass m f 6.5 [g] frame stiffness c f [N m  ] The model indicates that the resulting velocity of the endeffector is a summation (0junction) of the velocity of the flexile frame and the velocity of the motor mass, i.e. the class of flexile actuator suspension..3 Assessment The plant model is in the standard form, such that the assessment method can e applied in steps. For details aout this method is referred to (Coelingh, 000). Here, merely the straightforward application is shown and the results are interpreted.. Determine the class of electromechanical motion system that is at hand.
3 We consider the plant transfer function from the input force Ti  to the measured actuator position iϕ. The total mass to e moved equals: m = mm + me = 8.83 [g] () When the actuator position is considered the transfer function is of type AR, i.e. in the frequency response one first finds a complex zeropair (antiresonance) and consecutively a complex polepair (resonance). The expression for the plant transfer function is: s + ωar ωr AR () s =, ω ar < ωr ms s + ωr ωar P () The antiresonance frequency respectively resonance frequency of the lowest mode of viration is: ω ar = c 478 [rad/s] m + m = f e (3) c( mm + me ) ωr = = 486 [rad/s] (4) m ( m + m ) + m m m f e f e. Determine the concept that is at hand, y looing at the location of the position and velocity sensor and verify whether optimal dimensionless controller settings can validly e applied. For the actual PM module we use position and velocity feedac from the motor axis, i.e. concept AR. Whether the optimal dimensionless controller settings, as indicated in the assessment method, can validly e applied depends on the value of the frequency ratio ρ. For concept AR, the frequency ratio must have a value etween 0. and 0.8. The actual value of the frequency ratio is: ωar ρ = = 0.97 (5) ω r which is larger than the permitted 0.8. Despite this fact, we will continue application of the assessment method, ut we have to reconsider the violation of the ounds on ρ afterwards. 3. Depending on the situation, perform one of three alternatives: a. When we assume the reference path and the desired performance, in terms of the maximal positional error e 0, to e fixed, we calculate the periodic ratio τ according: 0 hm 4 e.0 0 τ = = = 0. ε (6) The value for the constant ε for concept AR is The minimal required antiresonance frequency of the plant is: ω ar,req π π = = = 98 [rad/s] τ t m (7) which is smaller than the actual antiresonance frequency, thus the lowest mode of viration is not a limitation for the desired performance.. When we assume the reference path and the antiresonance frequency to e fixed, we calculate the periodic ratio τ according: π τ = = (8) ω t ar m The attainale performance in this situation is predicted as: e0 = ε τ hm = 39 [ µ m] (9) which is smaller than the desired accuracy of 00 [µm]. c. When we assume the desired performance and the antiresonance frequency to e fixed, we can propose a characteristic reference path. This requires a tradeoff etween the motion time and the motion distance: π e0 = ωartm ε hm (0) t = 0.6 h m m 4. Determine the control system for a particular prolem setting. The dimensionless optimal controller settings for concept AR are Ω p = 0.8 and Ω d = 0.9. For the particular prolem setting of the PM module, with ω ar = 478[rad/s], we otain: ( ) 6 ω.9 0 = m Ω = 3 = m Ω ω = p p ar d d ar () From application of the assessment method we learn that the specifications can e met with the given electromechanical susystem. However, the frequency ratio (5) of the PM module is not within the ounds specified y the assessment method, thus the staility margin may e smaller than guaranteed. The assessment method can also e used to evaluate different sensor locations, e.g. on the endeffector, ut this is not discussed here..4 Evaluation By means of simulations we will evaluate the conceptual design. The endeffector appeared to follow the reference trajectory well. The error during the pointtopoint motion rises up to 3 [mm] and the required torque of the actuator is aout 0.3 [Nm]. The positional error after the motion time t m, i.e. the error of interest, is shown in Fig. 3. Fig. 3 The positional error of the conceptual design.
4 The simulations show that the positional error after the motion time t m is 3 [µm], which is indeed smaller than the predicted maximum positional error of 39 [µm]. After the settling time t s of 30 [ms], we see that the error is decreased even further. It is concluded that a feasile design for the controlled system is otained. The design process is continued, eeping in mind the relatively small staility margin. 3. DETAILED DESIGN After conceptual design, the design process will proceed towards a design proposal that is to e the guideline for prototyping. The character of the design prolem at hand will gradually change. During detailed design frequencydomain design methods are eing used, as aspects such as performance, staility, disturance attenuation and roustness are conveniently expressed in these terms, in case of electromechanical motion systems. For detailed design a structured design method has een descried in (Coelingh, 000) for a control configuration consisting of a reference path generator, a feedac component, a feedforward component and a disturance oserver. In this paper the design of only the feedac component is discussed. 3. Modelling the plant The plant model of Fig. is extended with additional dynamic effects. Fig. 4 shows the different component models and their interaction. The transmission, spindle and guidance of the endeffector are considered to e flexile, thus introducing higherorder modes. Also the limitation of the input current of the plant is incorporated (± 5 [A]). Fig. 4 Extended plant model. 3. Design of a feedac component For the feedac component two different configurations are used, a PID compensator and a PID controller. The essential difference is that in a PID controller the derivative action does not operate on the reference path. Fig. 5 a) PID compensator and ) PID controller configuration. The expressions for the sucomponents are τis Cpi () s = K τis τ ds Cds () s = τdβs τ ds Cdp () s = K τdβs Ch () s = τ s h () where K denotes the proportional gain, τ i the integral time constant, τ d the derivative time constant and τ h the highfrequency rolloff time constant. The tameness factor β is chosen such that the derivative action is effective over a limited frequency range only. In order to have a derivative effect, β is chosen smaller than. Before the design of a feedac component the design specifications have to e formulated. The design procedure requires the specifications to e expressed in terms of the andwidth and the lowfrequency ehaviour of the input sensitivity function. This method is ased on the wor in (De Roover, 997). An indication for performance has already een otained during conceptual design; therefore, it is desirale to reuse this result. We will determine the andwidth ω of the conceptual design with the standard plant model: ω = 66 [rad/s] (3) This is the frequency where T(jω) crosses the 0 dbline, where T(jω) is the complementary sensitivity function. Note that in case of a PID controller T(jω) does not equal the sensitivity function S(jω). We will therefore state the specification as:. sufficiently high andwidth: ω = 66 [rad/s].. sufficient suppression of lowfrequency virations: S wz (jω) < s l [db] for ω < ω l [rad/s], with s l = 0 [db] and ω l = 0π [rad/s]. 3. maximum peavalue of the sensitivity magnitude: M S = 6 [db] 4. limited control energy. where S wz (jω) is the input sensitivity function. The specification for the suppression of the lowfrequency virations is chosen rather aritrarily: disturance forces up to 0π [rad/s], acting on the input of the plant, have to e suppressed with at least 0 [db]. This means that forces with a frequency smaller than 0π [rad/s] and an amplitude of 0 [N], may result in a displacement of 0 [µm]. The design procedure for PID controllers (Coelingh, 000) is applied in two steps. Firstly, a PD controller (Fig. 5) is designed in order to illustrate the reuse of the conceptual design and secondly we add the integral action.. Determine m, i.e. the total mass to e displaced. In the previous section we determined: m = 8.83 [g] (4)
5 . Determine whether to use a PID compensator or a PID controller. We start with the design of a PID controller, as this configuration was used during conceptual design. 3. Select the parameterβ, i.e. the tameness factor. It is chosen equal to the default value Determine the value of the derivative time constant τ d to otain extra phase lead. For the controller we use. 3 τ d = =.97 0 (5) 4ω β 5. Determine the proportional gain K to otain the desired andwidth ω. For the controller we use: ωτ dβ 6 m ωτ dβ + ωτ dβ+ K = ω =. 0 (6) The newly otained PD controller can e compared with the controller settings of the assessment method (). The proportional gain of the conceptual design is a little larger and the derivative action can e rewritten as: d p = (7) which almost equals the value for τ d. The frequency responses and the andwidth ω of oth designs are indeed the same, although they are otained from different starting points. We otained a smooth transition from conceptual design to detailed design, i.e. a design in the frequency domain, y reusing the andwidth ω. Now, we add the integral action y continuing the design procedure: 6. Determine the integral time constant τ i in order to otain a desired gain at low frequencies. sk l τ i = (8) ω l 7. Choose the time constant of the rolloff filter τ h < β τ d, ut as large as possile to limit the controller andwidth. We choose: 4 τ h =.5 0 (9) Similarly, we can design a PID compensator (Fig. 5a), starting with step 3 of the design procedure. 3. Select the parameter β, i.e. the tameness factor. It is chosen equal to the default value Determine the value of the derivative time constant τ d to otain extra phase lead. For the compensator we use: 3 τ d = = (0) ω β 5. Determine the proportional gain K to otain the desired andwidth ω. For the compensator we use: d 5 m ωτ β + ωτ d K = ω = () 6. Determine the integral time constant τ i in order to otain a desired gain at low frequencies. sk l τ i =.4 0 () ω l 7. Choose the time constant of the rolloff filter τ h < β τ d, ut as large as possile to limit the controller andwidth. We choose: 4 τh = βτd = (3) 3.3 Evaluation In Fig. 6, the frequency responses of the PID controller and PID compensator are shown, with the standard fourthorder plant model. Fig. 6 Frequency responses of the PID controller and PID compensator. Application of the assessment method indicated that the staility margin requires extra attention. Here, we see that the pea of T(jω) is smaller than 6 [db], thus providing a sufficient staility margin. The desired lowfrequency disturance attenuation can e achieved with oth designs. The controller configuration does not require an integral action to meet this requirement, as the suppression of the PD controller is already 0 [db], ut we maintain the integral action as it does provide infinite gain at zero frequency. The proportional gain of the compensator is much lower than the proportional gain of the controller, which results in a lower cost of feedac. The rolloff can start at a lower frequency, thus the amplification of measurement noise, is much smaller for the compensator configuration. We will also compare the two control configurations y means of simulations, using the extended plant model of Fig. 4. The controller configuration allows a large error during the motion time. Therefore, the integral action will only e switched on, once the endeffector is near the end position. The specifications of the PM module indicate that the switching moment is 8 [ms] after the motion time. The same switching moment is used here.
6 In Fig. 9, the experimental error plots are shown that correspond to the simulations of Fig. 7. The characteristics of the error plots are similar to those in simulation, although the actual values of the positional errors are again a little larger. 5. CONCLUSIONS Fig. 7 Positional error of closedloop systems with PID controller and PID compensator. In Fig. 7, it can e seen that oth designs fulfil the specification after the settling time. The maximal error after the motion time t m is much smaller for the PID controller (40 [µm]) than for the compensator (0 [µm] at t = t m ). This illustrates that a PID controller is attractive in pointtopoint motion systems with only a feedac component. 4. PRACTICAL APPLICATION We will apply and test the different control configurations to the real PM module. The position of the endeffector is measured over a small range y means of a Position Sensitive Detector (PSD), such that we can verify the ehaviour of the variale of interest. The PSD output is not used for feedac. We start with the PDtype controller of section that has een designed with the assessment method. In Fig. 8, the experimental error plots are shown that correspond to the simulations of Fig. 3. The maximal positional error after the motion time is 37 [µm], which is 6 [µm] larger than in simulation, ut corresponding well with the positional error of 39 [µm] predicted y the assessment method. Fig. 8 Measured error of PM module with the PDtype controller from the assessment method. Next, we consider the PID controller and PID compensator of section 3, where the integral action is switched on 8 [ms] after the motion time. Fig. 9 Measured error of PM module with PID controller and PID compensator. By means of application to an industrial motion system, the design enhancement presented in (Coelingh, 000) was illustrated. The focus was mainly on evaluating the design enhancement and not on maximisation of the performance of the controlled system. Assessment learned that the specification of a maximal positional error of 00 [µm] can e met; a maximum error of 39 [µm] was indicated as feasile. Simulations with an initial plant model, as well as practical experiments, confirm these results. This illustrates that, using minimal plant nowledge, the assessment method provides the designer with relevant nowledge aout the design prolem, early in the design process. During detailed design, the conceptual design is reused relatively easy, y using the andwidth of the conceptual design as the initial specification for the design of the feedac component. This component now also has to provide lowfrequency disturance suppression. Simulations and frequency analysis confirm that the specifications are feasile. The main enefit of the structured design method is that it leads to a short design process, while providing insight in the design prolem. The recommended controller settings proved to e relevant in practice, that is, as long as the parameters of the initial model are aout correct. 6. REFERENCES Coelingh, H.J. (000), Design support for motion control systems  a mechatronic approach, PhD thesis, University of Twente, Enschede, The Netherlands, De Roover, D. (997), Motion control of a wafer stage  A design approach for speeding up IC production, PhD thesis, Delft University of Technology, Delft, The Netherlands. De Vries, T.J.A. (994), Conceptual design of controlled electromechanical systems  a modeling perspective, PhD thesis, University of Twente, Enschede, The Netherlands. Groenhuis, H. (99), A design tool for electromechanical servo systems, PhD thesis, University of Twente, Enschede, The Netherlands. Koster, M.P., W.T.C. van Luenen and T.J.A. de Vries (999), Mechatronica (Mechatronics), in Dutch, course material, University of Twente, Enschede, The Netherlands. Philips (998), Fast Component Mounter  II Specifications, Eindhoven, The Netherlands. Philips (000), PowerLine Fast Component Mounter, Philips Electronic Manufacturing Technology, Van Amerongen, J. (000), Mechatronic Design, this conference, Van Brussel, H.M.J. (996), Mechatronics  A Powerful Concurrent Engineering Framewor, IEEE/ASME Trans. Mechatronics, (), 736.
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