基于迭代学习的开关磁阻发电机输出电压优化

Output Voltage Optimization of Switched Reluctance Generator Based on Iterative Learning Control

分析了开关磁阻发电机输出电压脉动的原因,运用电流分配的方法合理分配换相区间各相电流,并提出基于迭代学习控制算法的电流控制策略,利用迭代学习算法控制电流以高精度跟踪指定电流,从而达到优化输出电压的目的。仿真和实验结果表明,该方法能有效减小输出间电压的脉动和稳态误差,提高了发电品质。

The reasons for the fluctuation of the output vohage of the switched reluctance generator was analyzed, the current distribution method was used to allocate the phase current in the commutation interval and the current control strate- gy based on the iterative learning control algorithm was proposed. Using iterative learning algorithm to control the phase cur- rent to track the desired current with high precision , thereby achieve the purpose of optimizing the output voltage. The sim- ulation and experimental study were made on the proposed method, the results show that this method can effectively reduce the voltage fluctuation in the commutation interval and steady-state error improve the quality of power generation.