A nonlinear PID controller based on data-driven and state transition algorithm

Bin Gao; Dan Hong Zhang; Li Juan Yu; FengPing Yin

doi:10.1117/12.2653010

10 November 2022 A nonlinear PID controller based on data-driven and state transition algorithm

Bin Gao, Dan Hong Zhang, Li Juan Yu, FengPing Yin,

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 1233132 (2022) https://doi.org/10.1117/12.2653010
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

Adjusting the traditional PID controller parameters requires the expert’s experience. Sometimes, the traditional linear PID controller can't balance the dynamic and static performance of the system, and it can’t effectively control the object when the object parameters change. We propose a nonlinear PID controller, which uses state transition algorithm (STA) to tune the parameters of nonlinear PID controller, and uses data-driven (DD) to enable the system to identify different object parameters and adopt the corresponding controller. Simulation results show that the proposed controller effectively improves the control effect of the above problems.

Citation Download Citation

Bin Gao, Dan Hong Zhang, Li Juan Yu, FengPing Yin, and "A nonlinear PID controller based on data-driven and state transition algorithm", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 1233132 (10 November 2022); https://doi.org/10.1117/12.2653010

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