开关磁阻发电机角度位置控制自适应遗传优化方法

以开关磁阻发电机输出电压为研究对象,在分析高速情况下角度位置控制的特点和影响输出电压脉动因素的基础上,提出了基于自适应遗传算法的角度控制策略。当转速或负载变化时,自适应算法控制关断角不变,调节导通角快速稳压,采用遗传算法准确优化开通角与关断角的组合,减小输出电压脉动。通过仿真和实验验证,与单一自适应控制或遗传算法角度控制相比,自适应遗传角度控制策略能够更快速准确优化输出电压。

Angle Position Control of Switched Reluctance Generator Based on Adaptive Genetic Algorithm

Considering the output voltage of switched reluctance generator, an angle control strategy using adaptive genetic algorithm is proposed based on the analysis on the characteristics of angle control and the influencing factors of output voltage ripple under high speed condition. When the speed or load changes, turn-off angle remains unchanged, and conduction angle is adjusted through adaptive algorithm to stabilize the voltage quickly. The genetic algorithm is applied to optimize the combination of opening angle and turn-off angle for the purpose of reducing the voltage ripple. Simulation and experimental results show that compared with single adaptive control or genetic algorithm angle control, the proposed strategy can optimize the output voltage quickly and accurately.