Adaptive control with non-recursive schemes for robot systems
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https://doi.org/10.54939/1859-1043.j.mst.97.2024.25-32Keywords:
Robot; Adaptive control; Non-recursive control design; Unknown system parameters.Abstract
In this paper, the authors consider the design of adaptive controllers for robot systems with uncertain system parameters. A new non-recursive adaptive controller is proposed for a robot system, with the controller coefficients being time-varying and updated online to avoid the need for an estimator to estimate the uncertain model parameters. The controller is analyzed and shown to be stable in the Lyapunov theory. The tracking error of the joint trajectories and all the parameters in the closed-loop system converge asymptotically to the origin and are bounded. Finally, simulations are performed to verify the feasibility and effectiveness of the proposed control method..
References
[1]. Zhen, ShengChao, et al. "A new PD based robust control method for the robot joint module." Mechanical Systems and Signal Processing 161: 107958, (2021).
[2]. Azeez, Muhammad I., and Khaled R. Atia. "Modeling of PID controlled 3DOF robotic manipulator using Lyapunov function for enhancing trajectory tracking and robustness exploiting Golden Jackal algorithm." ISA transactions (2023).
[3]. Zhang, Beibei, et al. "Sliding mode control for nonlinear manipulator systems." IFAC-PapersOnLine 50.1: 5127-5132, (2017).
[4]. Zhao, Dongya, Shaoyuan Li, and Feng Gao. "A new terminal sliding mode control for robotic manipulators." International Journal of control 82.10: 1804-1813, (2009).
[5]. Chaudhary, Km Shelly, and Naveen Kumar. "Fractional order fast terminal sliding mode control scheme for tracking control of robot manipulators." ISA transactions 142: 57-69, (2023).
[6]. Spong, Mark W. "On the robust control of robot manipulators." IEEE Transactions on automatic control 37.11: 1782-1786, (1992).
[7]. Zheng, Kunming, et al. "Adaptive memetic differential evolution-back propagation-fuzzy neural network algorithm for robot control." Information Sciences 637: 118940, (2023).
[8]. Elmogy, Ahmed, and Wael Elawady. "An adaptive continuous sliding mode feedback linearization task space control for robot manipulators." Ain Shams Engineering Journal 15.1: 102284, (2024).
[9]. Barhaghtalab, Mojtaba Hadi, et al. "Design of an adaptive fuzzy-neural inference system-based control approach for robotic manipulators." Applied Soft Computing 149: 110970, (2023).
[10]. Massou, Siham, and Ismail Boumhidi. "Adaptive control based neural network sliding mode approach for two links robot." International Journal of Power Electronics and Drive Systems (IJPEDS) 14.4: 2546-2556, (2023).
[11]. Ahsan, Muhammad, Mostafa M. Salah, and Ahmed Saeed. "Adaptive Fast-Terminal Neuro-Sliding Mode Control for Robot Manipulators with Unknown Dynamics and Disturbances." Electronics 12.18: 3856, (2023).
[12]. Liu, Yueyue, et al. "On a hierarchical adaptive and robust inverse dynamic control strategy with experiment for robot manipulators under uncertainties." Control Engineering Practice 138: 105604, (2023).
[13]. Huang, Yichi, et al. "Robust Adaptive Control for Robotic System with External Disturbance and Guaranteed Parameter Estimation." IFAC-PapersOnLine 55.38: 178-183, (2022).
[14]. Yin, Xiuxing, Li Pan, and Shibo Cai. "Robust adaptive fuzzy sliding mode trajectory tracking control for serial robotic manipulators." Robotics and Computer-Integrated Manufacturing 72: 101884, (2021).
[15]. Jouila, Ameni, and K. Nouri. "An adaptive robust nonsingular fast terminal sliding mode controller based on wavelet neural network for a 2-DOF robotic arm." Journal of the Franklin Institute 357.18: 13259-13282, (2020).
[16]. J. J. Craig, "Introduction to Robotics Mechanics and Control”, Pearson Education International, third Edition (2005).
