Abstract
The accurate position and motion control of the end-effector for robot execution is an important research direction of robot control. Based on the computed torque model, a Proportional-Integral-Derivative computed torque control (PID-CTC) method is introduced, in order to describe the process of implementing the end position control strategy for the robot manipulator. Compared with the traditional position control method, the computed torque control method can better handle the nonlinear problem when the parameters all known. Compared with the response and tracking performance of the robot manipulator to the two input trajectories, the results show that the PID-CTC control effect has low error and high accuracy, which is an efficient motion control method.
Supported by National Natural Science Foundation of China under Grant No. 52275005 and Natural Science Basic Research Plan in Shaanxi Province of China under Grant No.2022JQ-342
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References
Khan, M.F., et al.: Control strategies for robotic manipulators. In: 2012 International Conference of Robotics and Artificial Intelligence, IEEE (2012)
Elsisi, M., et al.: Effective nonlinear model predictive control scheme tuned by improved NN for robotic manipulators. IEEE Access 9, 64278–64290 (2021)
Zhang, D., Wei, B.: A review on model reference adaptive control of robotic manipulators. Annu. Rev. Control. 43, 188–198 (2017)
Kurfess, T.R.: Robotics and Automation Handbook. CRC Press, Boca Raton (2018)
Iqbal, J., et al.: Nonlinear control systems-a brief overview of historical and recent advances. Nonlinear Eng. 6(4), 301–312 (2017)
Qin, Y., et al.: A control theoretic approach to ABR video streaming: a fresh look at PID-based rate adaptation. IEEE Trans. Mob. Comput. 19(11), 2505–2519 (2019)
Vaidyanathan, S., Volos, C.: Advances and applications in nonlinear control systems. Springer (2016). https://doi.org/10.1007/978-3-319-30169-3
Breazeal, C., et al.: Social Robotics. Springer handbook of robotics: 1935–1972 (2016)
AL-Azzawi, S.F., Aziz, M.M.: Strategies of linear feedback control and its classification. TELKOMNIKA (Telecommunication Computing Electronics and Control) 17(4), 1931–1940 (2019)
Kchaou, A., et al.: Second order sliding mode-based MPPT control for photovoltaic applications. Sol. Energy 155, 758–769 (2017)
Nagababu, V., Imran, A.: Artificial neural networks based attitude controlling of longitudinal autopilot for general aviation aircraft. Int. J. Adv. Res. Electrical, Electron. Instrum. Eng. 7(1) (2018)
Toquica, A., et al.: Kinematic modelling of a robotic arm manipulator using Matlab. J. Eng. Appl. Sci. 12(7) (2017)
Emran, B.J., et al.: Robust adaptive control design for quadcopter payload add and drop applications. In: 2015 34th Chinese Control Conference (CCC), IEEE (2015)
Islam, R., et al.: Design and comparison of two control strategies for multi-DOF articulated robotic arm manipulator. J. Control Eng. Appl. Inform. 16(2), 28–39 (2014)
Sangdani, M., et al.: Genetic algorithm-based optimal computed torque control of a vision-based tracker robot: simulation and experiment. Eng. Appl. Artif. Intell. 67, 24–38 (2018)
Kousik, S., et al.: Bridging the gap between safety and real-time performance in receding-horizon trajectory design for mobile robots. Int. J. Robot. Res. 39(12), 1419–1469 (2020)
Piltan, F., et al.: Design baseline computed torque controller. Int. J. Eng. 6(3), 129–141 (2012)
Varga, Á., et al.: Experimental and simulation-based performance analysis of a computed torque control (CTC) method running on a double rotor aeromechanical testbed. Electronics 10(14), 1745 (2021)
Armstrong, B., et al.: The explicit dynamic model and inertial parameters of the PUMA 560 arm. Proceedings. In: 1986 IEEE International Conference on Robotics and Automation, IEEE (1986)
Corke, P.I., Armstrong-Helouvry, B.: A search for consensus among model parameters reported for the PUMA 560 robot. In: Proceedings of the 1994 IEEE International Conference on Robotics and Automation, IEEE (1994)
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Feng, C., Chen, Z., Jin, W., Guo, W. (2023). Motion Control and Simulation Analysis of a Manipulator Based on Computed Torque Control Method. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14267. Springer, Singapore. https://doi.org/10.1007/978-981-99-6483-3_2
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DOI: https://doi.org/10.1007/978-981-99-6483-3_2
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