电工技术学报2024，Vol.39Issue(1)：206-216,11.DOI:10.19595/j.cnki.1000-6753.tces.221728
一种基于离散时域模型的单相PWM整流器控制参数多目标优化设计方法
A Multi-Objective Controller Parameter Design Optimization Method of Single-Phase PWM Rectifierwith Discrete-Time Domain Model
摘要
Abstract
The double closed-loop control of single-phase PWM rectifier can achieve high power factor and stable output DC voltage,which has been widely studied by scholars.The double closed-loop control strategy of voltage outer loop and current inner loop is generally used in single-phase PWM rectifier.In current inner loop,PR controller is used to control AC current in phase with voltage to achieve power factor correction,while PI controller is usually applied to control stability of DC output voltage in voltage outer loop.However,in the design stage of the innerand outerloop controller parameters,traditional design method generally selects controller parameters by experience,which causes a wide range of parameter selection and cannot quantitatively evaluate the time-domain control effect of the controller parameters,leading to difficulties in parameter optimization and adjustment.Accordingly,this paper proposed a multi-objectiveoptimization design method for controller parameters based on discrete-time domain model. Firstly,traditional design method in frequency domain was used to determine safe design space of voltage outer loop and current inner loop controller parameters by constraint phase margin and bandwidth.Secondly,the PLECS software was applied to simulate discrete time domain model and automatic iterative controller parameters to obtain the time domain waveforms of controlled variables for analyzing the control performance parameters,thus establishing positive mapping relationship between the controller parameters and controller performance.Thirdly,power factor was selected for current inner loop PR controller performance parameter and the overshoot value was set for voltage outer loop PI controller performance parameter according to the control requirements.then,positively mapped the safe design space to the performance space by PLECS software,in which constrain the value of the performance space to get the performance optimized design space.Finally,the coupling effect of inner and outer loop controller parameters was considered by recombing them in the two performance optimized design spaces and positively mapping to the performance space,in which the multi-objective performance space of current inner loop power factor and voltage outer loop overshoot is obtained. Simulation results show that the minimum overshoot absolute value of 1.23%and the maximum power factor of 0.986 14 can be obtained by Pareto front optimal design space respectively.However,these two objectives cannot be optimized at the same time,and the pursuit of higher power factor will certainly increase the overshoot.The Pareto Front shows an intuitive quantitative relationship between different optimization objectives and effectively makes the range of controller parameters values precise. An experimental platform was established and typical design points were selected from the multi-objective Pareto Front optimal design space.Experiments with control parameters by conventional design method demonstrated the accuracy of quantitative assessment of control effects based on discrete-time domain models.And optimized design control parameters proved the correctness of the Pareto front optimal design space,in which verified to achieve power factor value of 0.981 26 and absolute overshoot value of 1.37%.Finally,power factors at different output powers were measured to verify that the optimized design control parameters showed good adaptability to different load conditions,thus proving the correctness of the optimizationdesign method in this paper.关键词
PWM整流器/离散时域模型/控制器参数/多目标优化/动态性能优化Key words
Single-phase PWM rectifier/discrete-time domain model/multi-objective optimization controller parameters/dynamic performance optimization分类
信息技术与安全科学引用本文复制引用
晏益朋,余城洋,熊露婧,罗全明,胡书昌..一种基于离散时域模型的单相PWM整流器控制参数多目标优化设计方法[J].电工技术学报,2024,39(1):206-216,11.基金项目
国家自然科学基金资助项目(52177170). （52177170）
