单神经元自适应PID控制在电动油门控制中的应用

Application of Single Neuron Adaptive PID Control in Controlling the Dynamoelectric Accelerograph

利用单神经元模型自学习和自适应特点,在传统PID控制基础上设计出了一种单神经元自适应PID控制器,并将其应用于电动油门控制系统中。实验结果表明:采用单神经元自适应PID控制的电动油门系统能够适应油门手柄在较大范围内的推拉运动,而且控制具有较强的鲁棒性,控制品质优于常规PID控制。

By the self-learning and self-adaptability of the single neuron model, a single neuron adaptive PID controller is designed based on the traditional PID control and is used in the dynamoelectric accelerograph control system. The experiments show that the dynamoelectric accelerograph control system with the single neuron adaptive PID control can acclimatize itself to the great movement of accelerograph knob, the single neuron adaptive controller has good robustness and is better than the routine PID controller in controlling capability.