液压振动台位移补偿的PID控制方式的研究

Research on PID control mode of displacement compensation for hydraulic vibration table

针对目前市面上的液压振动台的位移控制精度的问题,提出了一种基于单神经元网络的PID和有监督的Hebb学习法则的液压振动台的智能控制方式,并加入压力值与位移值构成双闭环控制,来解决由于振动、油液泄漏等因素造成的液压泵中压力的损失导致伺服作动器位移的误差的问题。该控制方式可以通过对变化的误差不断的在线修正和学习,并迅速地调节出最优的PID参数,快速地到达所设定的参数值。该控制方式可以减小在运行过程中因干扰和系统扰动等因素造成的位移误差。仿真结果表明,该控制方式具有较强的自适应能力和抗干扰能力以及鲁棒性。

In view of the problem of the precise displacement control of the hydraulic vibrator on the market, an in-telligent control method which based on the single neuron network PID and the supervised Hebb learning principle was proposed. And the pressure value and displacement value both were added into the double closed loop control to solve the cause of the vibration, oil leakage and so on. The loss of pressure in the hydraulic pump caused the error of displacement of servo actuator. The control method could be adjusted and learned by error of change. And the PID parameters could be quickly optimized to reach the set pa-rameters quickly. During operation the control mode can reduce error of displacement caused by disturb-ance and others. The simulation results show that the control method has strong ability of both adaption and anti-interference, and robustness.