标题:
GA算法优化的FPID控制VIENNA整流器的研究Research on VIENNA Rectifier Based on FPID Controller Optimized by GA Algorithm
作者:
尹延松, 杨威, 杨世彦
关键字:
VIENNA整流器, FPID, 遗传算法, 中点电位平衡VIENNA Rectifier, FPID, GA Algorithm, Neutral-Point Potential Balance
期刊名称:
《Journal of Electrical Engineering》, Vol.4 No.2, 2016-06-23
摘要:
传统PID控制动态响应速度慢、抗干扰性能差，本文针对VIENNA整流器采用分数阶PID (FPID)控制策略进行研究。在三相输入对称条件下，对VIENNA整流器进行三相解耦，进而建立数学模型；根据分数阶微积分理论，基于IEAT指标并采用遗传(GA)算法对FPID控制器参数进行优化设计，提高VIENNA整流器动态响应特性与鲁棒性；建立simulink模型，通过仿真对比验证了FPID控制快速的动态响应特性，并通过样机实验验证了FPID控制的可行性。
There are many shortcomings in traditional PID controller, such as the slow dynamic response and the poor robustness. Based on VIENNA rectifier, this paper analyses the performance of fractional-order PID controller. Under the balanced three-phase input situation, we decoupled the VIENNA rectifier and established the mathematic model. According to the theory of fractional calculus, we optimized the parameters of FPID by genetic algorithm (GA) to improve the performance of dynamic response and the robustness, aiming at the IEAT index. We constructed the VIENNA model by Simulink, verified the good performance of FPID, designed a 2 kW VIENNA rectifier, and confirmed the effectiveness of FPID controller by experiment.