基于量子粒子群算法的PID控制器参数整定

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (3): 61-61.

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

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

收稿日期:2006-05-22 修回日期:1900-01-01 出版日期:2007-01-21 发布日期:2007-01-21
通讯作者: baiwenbao

Tuning of PID parameters based on QDPSO

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

摘要/Abstract

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, ,

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

白文宝熊伟丽徐保国. 基于量子粒子群算法的PID控制器参数整定[J]. 计算机工程与应用, 2007, 43(3): 61-61.