RESEARCH ON THE DYNAMICS OF FLEXIBLE MANIPULATORS

Similar documents
Shape Optimization of Revolute Single Link Flexible Robotic Manipulator for Vibration Suppression

Pierre Bigot 2 and Luiz C. G. de Souza 3

found that it is possible to achieve excellent results but with unrealistically high torques. This problem

GAIN SCHEDULING CONTROL WITH MULTI-LOOP PID FOR 2- DOF ARM ROBOT TRAJECTORY CONTROL

H-INFINITY CONTROLLER DESIGN FOR A DC MOTOR MODEL WITH UNCERTAIN PARAMETERS

Robot Manipulator Control. Hesheng Wang Dept. of Automation

DISTURBANCE ATTENUATION IN A MAGNETIC LEVITATION SYSTEM WITH ACCELERATION FEEDBACK

Predictive Cascade Control of DC Motor

Nonlinear PD Controllers with Gravity Compensation for Robot Manipulators

WHAT A SINGLE JOINT IS MADE OF RA

Output tracking control of a exible robot arm

Mechatronics II Laboratory EXPERIMENT #1: FORCE AND TORQUE SENSORS DC Motor Characteristics Dynamometer, Part I

Passivity-based Control of Euler-Lagrange Systems

Motion Control. Laboratory assignment. Case study. Lectures. compliance, backlash and nonlinear friction. control strategies to improve performance

Example: DC Motor Speed Modeling

Gain Scheduling Control with Multi-loop PID for 2-DOF Arm Robot Trajectory Control

Observer Design for a Flexible Robot Arm with a Tip Load

Acceleration Feedback

Line following of a mobile robot

Open Access Permanent Magnet Synchronous Motor Vector Control Based on Weighted Integral Gain of Sliding Mode Variable Structure

ENGG4420 LECTURE 7. CHAPTER 1 BY RADU MURESAN Page 1. September :29 PM

1439. Numerical simulation of the magnetic field and electromagnetic vibration analysis of the AC permanent-magnet synchronous motor

Design of a Nonlinear Observer for a Very Flexible Parallel Robot

Decentralized PD Control for Non-uniform Motion of a Hamiltonian Hybrid System

CONTROL OF ROBOT CAMERA SYSTEM WITH ACTUATOR S DYNAMICS TO TRACK MOVING OBJECT

Theory of Vibrations in Stewart Platforms

Application of singular perturbation theory in modeling and control of flexible robot arm

DC Motor Position: System Modeling

Dissipative Systems Analysis and Control

PERIODIC signals are commonly experienced in industrial

Exponential Controller for Robot Manipulators

ACTIVE VIBRATION CONTROL PROTOTYPING IN ANSYS: A VERIFICATION EXPERIMENT

Video 5.1 Vijay Kumar and Ani Hsieh

The basic principle to be used in mechanical systems to derive a mathematical model is Newton s law,

SSY155 Applied Mechatronics Examination date

LYAPUNOV-BASED FORCE CONTROL OF A FLEXIBLE ARM CONSIDERING BENDING AND TORSIONAL DEFORMATION

Emulation of an Animal Limb with Two Degrees of Freedom using HIL

2002 Prentice Hall, Inc. Gene F. Franklin, J. David Powell, Abbas Emami-Naeini Feedback Control of Dynamic Systems, 4e

ADAPTIVE NEURAL NETWORK CONTROL OF MECHATRONICS OBJECTS

Adaptive Robust Tracking Control of Robot Manipulators in the Task-space under Uncertainties

Piezoelectric Multilayer Beam Bending Actuators

Nonlinear Adaptive Robust Control. Theory and Applications to the Integrated Design of Intelligent and Precision Mechatronic Systems.

Example: Modeling DC Motor Position Physical Setup System Equations Design Requirements MATLAB Representation and Open-Loop Response

MCE603: Interfacing and Control of Mechatronic Systems

Automatic Control Systems. -Lecture Note 15-

Mechatronics Engineering. Li Wen

Balancing of an Inverted Pendulum with a SCARA Robot

EMBEDDED CONTROLLER BUILDING FOR BALL AND BEAM SYSTEM USING OPTIMAL CONTROL SYNTHESIS

INC 693, 481 Dynamics System and Modelling: Lagrangian Method III Dr.-Ing. Sudchai Boonto Assistant Professor

Rigid Manipulator Control

LIAPUNOV S STABILITY THEORY-BASED MODEL REFERENCE ADAPTIVE CONTROL FOR DC MOTOR

(a) Torsional spring-mass system. (b) Spring element.

Virtual Passive Controller for Robot Systems Using Joint Torque Sensors

Positioning Servo Design Example

AA242B: MECHANICAL VIBRATIONS

A Backstepping control strategy for constrained tendon driven robotic finger

MATHEMATICAL MODELING OF OPEN LOOP PMDC MOTOR USING MATLAB/SIMULINK

Robotics & Automation. Lecture 25. Dynamics of Constrained Systems, Dynamic Control. John T. Wen. April 26, 2007

ROBUST FRICTION COMPENSATOR FOR HARMONIC DRIVE TRANSMISSION

FEEDBACK CONTROL SYSTEMS

Research Paper. Varun Kumar 1*, Amit Kumar 2 ABSTRACT. 1. Introduction

(Refer Slide Time: 00:01:30 min)

Laboratory 11 Control Systems Laboratory ECE3557. State Feedback Controller for Position Control of a Flexible Joint

Modelling the Electromechanical Interactions in a Null-Flux EDS Maglev System

Intelligent Control of a SPM System Design with Parameter Variations

Neural Network Control of Robot Manipulators and Nonlinear Systems

Gordon G. Parker Mechanical Engineering Dept., Michigan Institute of Technology Houghton, MI

Neural Network Sliding-Mode-PID Controller Design for Electrically Driven Robot Manipulators

Seul Jung, T. C. Hsia and R. G. Bonitz y. Robotics Research Laboratory. University of California, Davis. Davis, CA 95616

MCE493/593 and EEC492/592 Prosthesis Design and Control

COMPLIANT CONTROL FOR PHYSICAL HUMAN-ROBOT INTERACTION

EXPERIMENTAL RESULTS IN THE VIBRATION CONTROL OF A HIGHLY FLEXIBLE MANIPULATOR

University of Bristol - Explore Bristol Research. Publisher's PDF, also known as Version of record

Finite Element Analysis of Piezoelectric Cantilever

International Journal of Advance Engineering and Research Development SIMULATION OF FIELD ORIENTED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR

Design and Control of Compliant Humanoids. Alin Albu-Schäffer. DLR German Aerospace Center Institute of Robotics and Mechatronics

Speed Behaviour of PI and SMC Based DTC of BLDC Motor

ZEROS OF MODAL MODELS OF FLEXIBLE STRUCTURES

for Articulated Robot Arms and Its Applications

MEM04: Rotary Inverted Pendulum

Precision tracking control of a horizontal arm coordinate measuring machine in the presence of dynamic flexibilities

Transactions on Modelling and Simulation vol 18, 1997 WIT Press, ISSN X

Aeroelastic effects of large blade deflections for wind turbines

Stabilization of Motion of the Segway 1

Integration simulation method concerning speed control of ultrasonic motor

q HYBRID CONTROL FOR BALANCE 0.5 Position: q (radian) q Time: t (seconds) q1 err (radian)

Derivation of dual forces in robot manipulators

Dynamics. describe the relationship between the joint actuator torques and the motion of the structure important role for

Two-Link Flexible Manipulator Control Using Sliding Mode Control Based Linear Matrix Inequality

Lyapunov Design for Controls

Design Artificial Nonlinear Controller Based on Computed Torque like Controller with Tunable Gain

System Modeling: Motor position, θ The physical parameters for the dc motor are:

Swinging Tension sensor and Control Structure for Gyroscope Fiber Winding Process

Control of constrained spatial three-link flexible manipulators

Mechatronics II Laboratory EXPERIMENT #1 MOTOR CHARACTERISTICS FORCE/TORQUE SENSORS AND DYNAMOMETER PART 1

Design of Integrated Error Compensating System for the Portable Flexible CMMs

Displacement Feedback for Active Vibration Control of Smart Cantilever Beam

NONLINEAR WAVE EQUATIONS ARISING IN MODELING OF SOME STRAIN-HARDENING STRUCTURES

Structural Dynamics Lecture Eleven: Dynamic Response of MDOF Systems: (Chapter 11) By: H. Ahmadian

Fuzzy Based Robust Controller Design for Robotic Two-Link Manipulator

Transcription:

RESEARCH ON THE DYNAMICS OF FLEXIBLE MANIPULATORS Li Tu\ Jinlian Deng^', Huanya Cao^',Pixuan Zhou^ ^Department of Mechanical Engieering, Zhejiang Mechanical&Electrical College, China; Email: tuji22(^.vahoo. tu_li22 com, en. ^School of System and Industrial Engieering, University of Arizona, USA. Abstract: Key words: The dynamics of a Flexible Manipulator system are described by an infinitedimensional mathematical model, since the model consists of partial differential equations. But to design a finite-dimensional controller, a finitedimensional system model is needed. To achieve this goal, a finite dimensional approximation needs to be used to model a flexible manipulator, that is, to retain a finite number of modes, and to drop off the other, less significant modes based on the requirements of the controller. The scheme in developing a mathematical model is to use the Lagrangian method or Hamiltonian's Principle to the total kinetic energy, total potential energy and virtual work done by the torque actuated to the joint. This method will not introduce extra errors into system and will be used to obtain the state-space model for a flexible manipulator suggested in this paper. Dynamics of flexible manipulators with shear force and rotatory inertia are derived, and state-space equations with the integration of DC motor dynamics are developed as a theoretical base for mechatronic designs. Dynamics, Flexible Manipulator; Mathematical Model. 1. INTRODUCTION In last decades, researches on flexible manipulators have increased dramatically. From the perspective of control, recent researches were found in [1] [2] [3] [4] and references therein. These studies did control-intensive work to improve beam performance. But they ignored the impact applied from the beam mechanic shape. The resulting system was only local optimal. In the other hand, a better beam shape to move faster but for less vibration is another topic. One of the first papers on optimal shape for flexible This project is supported by the National Natural Science Foundation of China under the grant No. 50275091. Please use the foil owing format when citing this chapter: Tu, Li, Deng, Jinlian, Cao, Huanya, Zhou, Pixuan, 2006, in International Federation for Information Processing (IFIP), Volume 207, Knowledge Enterprise: Intelligent Strategies In Product Design, Manufacturing, and Management, eds. K. Wang, Kovacs G., Wozny M., Fang M., (Boston: Springer), pp. 217-223.

218 Li Tujinlian Deng Huanya Cao,Pixuan Zhou manipulators is [5] by Karihaloo and Niordson. Extensive studies in optimal shape design have been conducted recently by Wang's group.wang (1991) [6] simplified substantially the scheme presented in [5]. A minimum weight design of flexible manipulators was developed by Wang and Russell (1992, 1993) [7] [8]. In 1995, they also investigated a new approach [9], the segmentized scheme of optimal design, which treats the flexible beam as a collection of small lengths of rigid beam constrained by each other's interfacial conditions. The new technique converts the optimal shape design problem into a matrix determinant problem. These studies focused on openloop design. They only concerned the beam mechanic construction that is proper design the flexible beam shape can make it suffering less vibration. But in reality, all manipulators must be in closed-loop to get high performance. The couplings between the controller and construction were not considered at larger in these designs. 2. DYNAMICS OF FLEXIBLE MANIPULATORS The dynamics of a Flexible Manipulator system are described by an infinite-dimensional mathematical model, since the model consists of partial differential equations. But to design a finite-dimensional controller, a finitedimensional system model is needed. To achieve this goal, a finite dimensional approximation needs to be used to model a fiexible manipulator, that is, to retain a finite number of modes, and to drop off the other, less significant modes based on the requirements of the controller. TheA^ -mode expansion for the beam displacement w{x, t) can be given by vt^(^,/) = 2]^/,(^)^,(t) (1) ; = 1 The separability in this case refers to describing the displacement as a series of terms which are products of two separate functions, each of that is a function of a single variable, a spatial variable x, and time t, respectively. / is the /-th modal shape [10], or eigenfunction. q^ is the corresponded generalized modal coordinate describing the flexible deformation. The scheme in developing a mathematical model is to use the Lagrangian method or Hamiltonian's Principle to the total kinetic energy, total potential energy and virtual work done by the torque actuated to the joint. This method will not introduce extra errors into system and will be used to obtain the state-space model for a flexible manipulator suggested in this paper.

Research on the Dynamics of Flexible Manipulators 219 2.1 State-space equations of flexible manipulators The hub kinetics is written as, T,=U^[9^^dj\0,i)'] (2) where o) = dq)/dx = co\ After applying Eq. 1 into Eq. 2, TH -^h o"- +-/,22^,^,.(^;(o>//;.(0) (3) In the same way, the kinetics of the tip load is, ^ i=l ^ /=! y=l where, r3 (/,./) =.//> V/; (^)V/; (i^) + Mp i {L)yfj (L) + 2a, v/; {L)i//j (I) The kinetic energy of the link,, N. N N ^ i=l ^ /=1 7=1 where Ai = ^{x^ +S)pdx, A2(0= j:j//;(x) + 5j//;(x)]pa[x,A3(i,y)= ^[iyi{x)i//j{x) + Si/y;{x)i/y'j{x)]pch (7) 5 is the function of cross section area of the Hnk. The total potential energy is p = ^ ^Ei{xyo'{xydx = ^f^y.'^^'ijk{i,j) (8) ;=1 7=1 where k(i, j) = l^el(x)i//j(x)i//" {x)dx The generalized virtual work is derived as.

220 Li Tu,Jmlian Deng Huanya Cao,Pixuan Zhou N W = Tv'iOj) = TO + TCo'iOj) = r^ + r2]^^;(0)<7, (0 (9) ;=1 In order to apply the Hamiltonian Principle, let us substitute Eqs. 3, 4, 6, 7, 8 for the following formula and group it in terms of 0, Sq., and their derivatives, where, Q, =/, +r, + A,, Q2(0 = r2(/) + A2(0,n3(/,y) = /,v/;(0)k(0) + r3(/,./) + A3(/,./) (ii) After applying the Hamiltonian method, we obtain, The Hamilton Extended Principle results in,,, A' N N N W N N '" '" /=! /=! /=1 7=1 /=1 7=1 / =1 These coefficients of SO,Sq^,l<i<N must be zero, that is, N a,6'" + 2^,n2(/)-r = 0 (15) ;=1 -^2(0-X^7^3(^y)-X^/^(^'-^) + ^^^''(^) = ^' 0</<A^, (16) or in matrix form, they are, Mx + kx = bt (17) where.

Research on the Dynamics of Flexible Manipulators 221 ^ = [0,q\,q2,q3,-,qNViN+\,\)^ M-- n, ^2(1) a2(2) Q2(l) ^3(1,1) ^3(1,2) ^ = [l,^>'l(0),^2(0),(^3(0)v..,(^;v^(0),] r (18) Q2(A^) n3(iv,i) n3(a^,2). n3(a^,a^) 0 0 0. 0 " 0 k{\,\) k{\,l). k{\,n) 0 k{n,\) k{n,l). k{n,n) As has been shown, Q^(iJ) = Q2(j,i), k(i,j) = k(jj), thus the matrices M,K are symmetric and named mass and rigidity matrices respectively. Next, the actuator dynamics need to be incorporated into the link system. It is assumed that the arm is driven by a permanent magnet DC-motor. Therefore, the actuator dynamics can be described as, -jj-(b^+^w^^v,=t (19) where J^ is the actuator inertia, B^ the friction coefficient, K^ the torque constant, Kf^ the back emf constant, R the armature resistance, and 0, u^ the hub rotation and armature voltage, respectively. In general, all motor circuit parameters can be considered as design variables. The overall state variable is defined as. (20) Combining Eq. 17 with Eq. 18, we present the overall system state space equations as. where q = Aq + B, u = v^, (21) 0 M~'A: / 1 -M B, B = 0 W-'T;. (22) M~'D_ K K

222 Li Tu,Jinlian Deng Huanya Cao,Pixuan Zhou A is the function of beam construction, thus any changes in beam mechanical shape will result in a different A, which provides the basis for simultaneously optimal construction and control based on the mechatronic formulation discussed early. 2.2 Output specifications As can be seen from the system state-space equations, the state vector consists of 6, the generalized modal coordinates q^, and their first order derivatives. So all controllers based on the state feedback are indirect, which means that the states need to be predicted. This will trade off with computation time and bring one more inaccuracy into a closed-loop, cutoff closed-loop bandwidth. This presents hindrances to real-time processing and high motion speed. Output feedback takes precedence over state space feedback as far as the mechatronic approach and objectives of this paper are concerned. Tip deflection output, which is, ^ r -1 y = w{l,t) = Y,'(f,{L)q,=^ yf,{l) Hf^{L)... y^^{l) oj^, (23) where ^, is the ith eigenfunction, Oix(«+i) is zero vector. A CCD camera clipped on the hub can be used to measure the output. The tip position output is, N J. _, >^ = V(Z,0 = I^ + ^^,W^,=[Z^ ^x{l) i/j^{l)... i//^(l) 0\q, (24) ;=1 The hub tangent angle output is, N ;; = 0 = ^ + ^y/;(o)qr.=[l y,[{0) v/^(0)... WNi^) 0]q, (25) /=1 A potentiometer may be used for measuring 0. In this mechatronic design, output feedback maybe one of above outputs, or the mixture, such as, fudr 'vv(z 0" f\l y =.Cq = (}, (26) c = 0 f// i(^) : 1 v/ 1(0) ^ z(0) v/:v(o) o_

Research on the Dynamics of Flexible Manipulators 223 The corresponding state-variable equations are, q = Aq + bu, y = Cq. (27) 3. CONCLUSION Mechatronic design is a global optimization of the overall system. For a flexible manipulator, the overall system is the integration of link dynamics, DC motor equation, measuring sensors, and the selected controller. As above, these output feedbacks can be used in control design to make the improvement of the suggested mechatronic approach and to make comparison between them. 4. REFERENCES 1. J. Doyle, K. Glover(1989), "State-Space Solution to Standard H2 and H Control Problem", IEEE AC, Vol. 34, No. 8, pp. 831-847. 2. B. Francis, A Course in H Control Theory, (Springer-Verlag, Berlin-New York, 1998). 3. L. B. Guti errez, F. L. Lewis, J. A. Lowe (1998), Implementation of a Neural Network tracking Controller for a Single Flexible link: Comparison with PD and PID Controller, in IEEE Trans, on Industrial Electronics, Vol. 45, No. 2. 4. A. Jnifene, A. Fahim (1997), A Computed Torque/Time Delay Approach to the End-Point Control of a One-Link Flexible Manipulator, Dynamics and Control, Vol. 7, pp. 177-189. 5. M. Fujita, et al (1991), "Experimental Evaluation of H Control for a Flexible Beam Magnetic Suspension System," S. Hosoe (ed) Robust Control, Pro of a workshop held in Toyko, June 23-24. 6. F. L. Lewis, V. L. Syrmos (1995), Optimal Control, John Wiley and Sons, Inc., Second Edition. 7. K. Lezn, H. Ozbay, et al (1991), Frequency Domain Analysis and Robust Control Design for an Ideal Flexible Beam, Automatica, Vol. 27, pp. 947-961. 8. A. Tchernychev, A. Sideris, J. Yu (1997), Constrained H Control of an Experimental Flexible Link, Trans, o fthe ASME, June. 9. Fei-Yue Wang (1994), On the Extremal Fundamental Frequencies of One-Link Flexible Manipulators, InternationalJournal of Robotics Research, Vol. 13, No. 2, pp. 162-170. lo.fei-yue Wang and J.L.Russell(1992), Optimum Shape Constructure of Flexible Manipulators with Tip Loads, Proceedings of IEEE Intl,Conf on Decision and Contral(Tucson,Arizona), Vol. 1, pp. 311-316.