【摘要】 非对称缸五阶电液伺服系统是一类典型高阶非线性、时变、增益不对称系统,由于动态特性随负载变化大,使用常规PID控制很难满足性能指标的要求,而采用BPNN原理设计成的常规单神经元PID控制器又因学习速率低,收敛速度I墁,控制效果不能令人满意.经研制采用20-SIM仿真工具建立仿真模型,设计了一种改良的单神经元PID控制器,其控制的仿真结果表明,该控制器适合于此系统.更多还原

【Abstract】 Asymmetric cylinder fifth-order electro - hydraulic servo system is a class of typical high - order one with non-linearity, time - variation and gain asymmetry. And since dynamic performances of the servo system vary greatly with the variable loads, conventional PID is very difficult to be used to reach the desired performance target, but if single neuron PID controller designed in terms of BPNN Theory is adopted, the control effect is not satisfactory because the learning rate and, the speed of convergence are slow. In this paper, we set up a simulation model using 20 - SIM simulation tools, and design an on - line self-learning reformed single neuron PID controller. simulation results has proved the controller succeeds in maintaining the performance of the system at acceptable levels.更多还原