【摘要】 将递归神经网络对于阶未知的非线性对象或具有未知延迟的系统辨识能力与ＰＩＤ控制的有效性相结合，构成了一种基于递归神经网络的自适应ＰＩＤ控制系统，对气动脉宽调制位置伺服系统进行控制，使系统获得了一定的在线自我调整能力，提高了系统的性能。更多还原

【Abstract】 With the combination of recurrent neural networks ’ identificatiosn ability for a nonlinear plant whose order is unknown or systems with unknown delay and the availability of PID control, an adaptive PID control system based on recurrent neural networks is made up to control the pneumatic PWM position servo system, which makes the system obtaian self-adjusting ability and the performance of the system improved.更多还原