【摘要】 论文将2自由度PID引入一类有强耦合带时延的多变量系统,将回路所受耦合量看成干扰量,从而将多回路系统等价成多个单回路系统;针对2自由度PID控制器参数整定困难的特点,论文利用神经网络来实现2自由度PID控制器,使控制器的两组参数能自适应调整,同时完成系统的解耦与控制工作。仿真结果表明,系统具有很好的静态和动态性能。更多还原

【Abstract】 The coupling problem is considered as disturbing problem, an d then MIMO system is treated as SISO.Therefore,two-degree-of-freedom PID i s imported into the coupling multivariable system.Single neural network is used to tune the parameters of PID,which is more efficient in decoupling and contr ol of this system.Simulation results reveal that the system has perfect static and dynamic performance.更多还原