Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (3): 61-61.

• 学术探讨 • Previous Articles     Next Articles

Tuning of PID parameters based on QDPSO

  

  • Received:2006-05-22 Revised:1900-01-01 Online:2007-01-21 Published:2007-01-21

基于量子粒子群算法的PID控制器参数整定

白文宝 熊伟丽 徐保国   

  1. 江南大学蠡湖校区信控学院 江南大学蠡湖校区信控学院 江南大学通信与控制工程学院 江南大学 通信与控制工程学院
  • 通讯作者: baiwenbao

Abstract: QDPSO is the particle swarm optimisation in quantum space. Based on QDPSO, a new algorithm is presented to tune PID controller parameters, which has superior features, including easy implementation, stable convergence, and quick computational efficiency. In the same time, a new time- domain performance criterion function is proposed for estimating the performance Of the QDPSO-PID controller. Numerical simulations show that the proposed algorithm is effective and the controller designed in term of this algorithm is superior to others.

Key words: PID control, Particle Swarm Optimisation algorithm, QDPSO algorithm, parameter tuning, performance criterion function, performance criterion function

摘要: 量子粒子群(Quantum-Delta-Potential-Well—Based Particle Swarm Optimisation ,QDPSO)算法是量子空间里的粒子群算法。基于QDPSO提出了一种新的PID参数整定算法,该算法具有操作简单、稳定收敛、寻优快速等优点。同时,引进了一种新的时域评价标准函数来评价QDPSO-PID控制器的性能。仿真结果表明了所提出算法的有效性和所设计控制器的优越性。

关键词: PID控制, 粒子群算法, 量子粒子群算法, 参数整定, 评价函数, 优化, ,