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Study on ADRC Parameter Optimization Using CPSO for Clamping Force Control System

Author

Listed:
  • Fengping Li
  • Zhengya Zhang
  • Antonios Armaou
  • Yao Xue
  • Sijia Zhou
  • Yuqing Zhou

Abstract

Clamping force control system is essential for clamping tasks that require high precision. In this paper, Active Disturbance Rejection Controller (ADRC) is applied for clamping force control system, aiming to achieve higher control precision. Furthermore, the CPSO-ADRC system is proposed and implemented by optimizing the critical parameters of ordinary ADRC using chaos particle swarm optimization (CPSO) algorithm. To verify the effectiveness of CPSO-ADRC, Particle Swarm Optimization- (PSO-) ADRC is introduced as a comparison. The simulation results show that the CPSO-ADRC can effectively improve the control quality with faster dynamic response and better command tracking performance compared to ordinary ADRC and PSO-ADRC.

Suggested Citation

  • Fengping Li & Zhengya Zhang & Antonios Armaou & Yao Xue & Sijia Zhou & Yuqing Zhou, 2018. "Study on ADRC Parameter Optimization Using CPSO for Clamping Force Control System," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-8, April.
    • Handle: RePEc:hin:jnlmpe:2159274
    DOI: 10.1155/2018/2159274
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    Cited by:

    1. Huibin Zhu & Tao Huang & Lizhen Bai & Wenkai Zhang, 2024. "Optimizing Active Disturbance Rejection Control for a Stubble Breaking and Obstacle Avoiding Control System," Agriculture, MDPI, vol. 14(5), pages 1-17, May.

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