Paper
1 August 2022 Research of terminal sliding mode trajectory tracking based on improved power reaching law
Cong Li, Zhonghua Wang
Author Affiliations +
Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122570X (2022) https://doi.org/10.1117/12.2640173
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China
Abstract
The terminal sliding mode control can effectively eliminate the uncertainties such as the parameter perturbation and the external load disturbance of a direct current (DC) torque motor, but still exists the chattering and the slow convergence speed, which affect the stability and speed of motor tracking control system. Therefore, a fast nonsingular terminal sliding mode (FNTSM) control strategy based on improved power reaching law is proposed. A fast convergent exponential function is introduced into the double power reaching law, which makes the whole control strategy not only improves the convergence speed when the system reaches the sliding surface but also inherits the ability of power term to suppress chattering. The theoretical analysis and comparative simulation prove that, in the case of load disturbance, the FNTSM control method using the improved power reaching law not only shortens the convergence time and has faster convergence speed, but also suppresses the chattering of the system, so that the DC motor can track the given trajectory quickly and accurately. Therefore, it’s confirmed that the proposed control method owns more effectiveness and superiority.
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Cong Li and Zhonghua Wang "Research of terminal sliding mode trajectory tracking based on improved power reaching law", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122570X (1 August 2022); https://doi.org/10.1117/12.2640173
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KEYWORDS
Control systems

Detection and tracking algorithms

Computer simulations

Error analysis

Servomechanisms

Dynamical systems

Mathematical modeling

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