开关磁阻电机起动/发电状态切换控制策略研究

Study of control strategy for status switching of switched reluctance starter / generator

在分析开关磁阻电机(SRM)起动/发电状态切换原理的基础上,针对切换过程的建压和调压控制问题,设计一种基于遗传算法寻优的滑模变结构控制器。该控制器由原动机转速、负载电流、相电流以及输出电压等多闭环回路组成的反馈控制系统构成。在控制器中,设计了基于遗传算法的参数寻优模块,对开通角、关断角以及斩波电流幅值进行解算和筛选,从而保证切换过程的平稳度和快速性。建立基于有限元电磁分析的SRM模型,进行滑模变结构控制器的设计与仿真实验,并通过2k W的SRM原理样机进行实验验证。仿真和实验结果证实,与传统PID控制策略进行比较,该控制器可以有效提高SRD/G切换过程的动态特性。

Based on the analysis on the principle of the SRM （ Switched Reluctance Motor ） status swit-chover from starter to generator, a genetic algorithm sliding mode variable structure controller was de-signed to solve the problem about voltage buildup and adjustment during the process of switchover. The controller consists of multi-close-routines feedback controlling system such as the rotation speed of prime motor, load current, phase current and output voltage. Parameters optimization model based on genetic algorithm, in the controller, was designed to conclude and the turn-on angle, turn-off angle and chopping current was selected to ensure the switchover steady and rapid. SRM module based on finite element elec-tromagnetic analysis was built to design and to simulate the sliding mode variable structure controller. A 2kW SRM model machine was utilized to validate the design. The results shows that the controller, com-paed with traditional PID controlling strategy, can improve the dynamic feature of switchover process of SRD/G efficiently.