基于时-频域指标的控制系统演化校正

冯文静; 周永华

基于时-频域指标的控制系统演化校正

引用本文：冯文静，周永华.基于时-频域指标的控制系统演化校正[J].计算技术与自动化,2015,(1):11-15

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作者	单位
冯文静，周永华	（广西大学电气工程学院，广西，南宁530004）

中文摘要:针对控制系统校正器参数适应系统时-频域特定性能要求的问题，提出一种基于自适应粒子群算法的控制系统校正方法。它以系统的时域误差积分指标为目标函数，以系统的幅值裕度、相角裕度等频域指标为约束条件建立优化模型。再利用罚函数，将该带约束的目标函数转化无约束的目标函数。之后，在Matlab环境下，将自适应粒子群算法与Simulink仿真技术相结合，优化控制系统校正器参数，从而实现控制系统校正。仿真结果表明，这种方法简单、高效，所设计的校正器性能优异，十分适合于工程应用。

中文关键词:自适应粒子群算法控制系统校正罚函数仿真

Control System Correction Design Based on Time-frequency Domain Index

Abstract:Aiming at the problem of the parameters of control system's corrector to fit the system's time-frequency domain performance requirements, this paper proposed a correction method based on Adaptive Particle Swarm Optimization algorithm. Firstly, the optimization model including the object function and constrain condition was established. The object function was the time domain integral of the error indicator. Constrain condition consisted of system's gain margin, phase margin and other frequency index. Then, by using the penalty function, the objective function with constraints was converted into objective function without constraints. Last, in the MATLAB environment, Adaptive Particle Swarm Optimization algorithm was connected with Simulink simulation technology, and the parameters of the control system's corrector were optimized. After that, correcting control system was implemented. Simulation results show that this method was simple and effective. The performance of the corrector designed by the method was much more excellent and very suitable for engineering applications.

keywords:APSO algorithm control system calibration penalty function optimal parameters

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