电动汽车永磁无刷直流电机的单神经元自适应PID控制

Adaptive PID Control Based on Single Neuron of Brushless DC Motor for Electric Vehicles

对于基于理想换相的永磁无刷直流电机,在给出了其单相等效模型的基础上,运用单神经元自适应PID控制来设计速度调节器,以提高驱动控制系统对负载变化的自适应能力.研究和仿真分析表明:这种速度调节器,只要学习速率选择合理,就具有比传统PID调节器更强的对负载变化的参数鲁棒性和自适应性.

The researching object of this paper is the BLDCM for electric vehicles. Assuming it can commutate ideally, the equivalent single phase model is deduced,then adaptive PID control based on single neuron is applied to improve the adaptive capability of the driving control system when the load varying.The researching and simulating results show that the adaptive PID speed controller based on single neuron is more robust and adaptive to motor load changing than conventional PID controller if it has reasonable learning rates.