PID parameter optimization method for discharge transmission system of roving machine based on fuzzy genetic algorithm
At present,the conventional PID parameter optimization method for the discharge transmission system of the roving machine mainly constructs an optimization function by combining the steady-state gain of the controlled object to achieve PID parameter optimization integration.However,due to the neglect of interference components under actual operating conditions,the parameter optimization effect was not satisfactory.A fuzzy genetic algorithm based PID parameter optimization method for the discharge transmission system of the roving machine was proposed.Firstly,the performance indexes were selected by combining the system step response curve of the PID controller with the deviation change rate of the controlled quantity as the main parameter.Then the PID regulation module was modeled and analyzed by introducing the load disturbance module and the frequency disturbance module,and finally the optimal fitness value was solved by combining the fuzzy-genetic algorithm,so as to realize the effective optimization of the PID parameters.In the experiment,the optimization effect of the proposed method was tested.The final test results show that when the proposed method was used to optimize and integrate the PID parameters,the control output curve fits better with the theoretical output curve,and has a more ideal optimization effect.
万方数据
维普
