1991
DOI: 10.1017/s0263574700006482
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Adaptive Control of Nonlinear Dynamic SCARA Type of Manipulators

Abstract: This paper deals with an investigation of the relative importance of robotic characteristics typically associated with nonlinear manipulators. An IBM 7540 SCARA type of robot is used for simulation, and results are presented for decentralized proportional plus derivative control action applied to individual robot joints, and the use of an adaptive computed torque control strategy is illustrated. The influence of variations in payload and robot parameters on trajectory tracking is also shown.

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Cited by 4 publications
(4 citation statements)
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References 19 publications
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“…π‘₯Μ‡(𝑑) = 𝐴π‘₯(𝑑) + 𝐡 𝑀(𝑑) + 𝐡 𝑒(𝑑) (8) 𝑦(𝑑) = 𝐢 π‘₯(𝑑) + 𝐷 𝑀(𝑑) (9) where π‘₯(𝑑) is the state of the plant, 𝑀(𝑑) is the disturbance input, 𝑦(𝑑) is the final output and 𝐴, 𝐡 , 𝐡 , 𝐢 , 𝐷 12 is the constant matrixes. The adaptation mechanism which is the adaption control law will continuously be adjusting the adjustable parameter in the controller according to the operating environment based on the reference model [33]. The adaptation control law can be formulated as shown in (10) where π‘₯ (𝑑) is the reference output, π‘Ÿ(𝑑) is the step-type reference signal, π‘₯ (𝑑) is the integral compensator and 𝐾(𝑑), 𝐹(𝑑), 𝐻(𝑑) will be updated using (11).…”
Section: Adaptive Controlmentioning
confidence: 99%
“…π‘₯Μ‡(𝑑) = 𝐴π‘₯(𝑑) + 𝐡 𝑀(𝑑) + 𝐡 𝑒(𝑑) (8) 𝑦(𝑑) = 𝐢 π‘₯(𝑑) + 𝐷 𝑀(𝑑) (9) where π‘₯(𝑑) is the state of the plant, 𝑀(𝑑) is the disturbance input, 𝑦(𝑑) is the final output and 𝐴, 𝐡 , 𝐡 , 𝐢 , 𝐷 12 is the constant matrixes. The adaptation mechanism which is the adaption control law will continuously be adjusting the adjustable parameter in the controller according to the operating environment based on the reference model [33]. The adaptation control law can be formulated as shown in (10) where π‘₯ (𝑑) is the reference output, π‘Ÿ(𝑑) is the step-type reference signal, π‘₯ (𝑑) is the integral compensator and 𝐾(𝑑), 𝐹(𝑑), 𝐻(𝑑) will be updated using (11).…”
Section: Adaptive Controlmentioning
confidence: 99%
“…1 (see Fig. 4), but it presents many differences with respect to a classic SCARA robot [4][5][6][7][8], since with the aim of being over-actuated, it has a joint configuration of the RRRPRP kind, instead of the RRPRRP configuration of a classic SCARA robot. By being over-actuated, this robot can be used to investigate fault-tolerant control techniques, among other issues.…”
Section: Scara Robot #mentioning
confidence: 99%
“…The inverse kinematics of the SCARA robot # 2 is calculated using homogeneous transformation matrices [1,[4][5][6]8,[10][11][12].…”
Section: Inverse Kinematicsmentioning
confidence: 99%
“…In this paper the trajectory tracking control of a SCARA type robot is considered. SCARA manipulators are widely used in industrial factories and academic laboratories, gathering various research works for different control strategies (Garg, 1991;Whitcomb et al, 1993;Visioli and Legnani, 2002;Roudbari, 2010).…”
Section: Introductionmentioning
confidence: 99%