Design and Parameter Optimization of Thin Plate Drying Control System Based on Combined Latency Compensation PID Algorithm
In order to overcome the problems of large step response overshoot and poor control ability of temperature in traditional thin plate drying control process,a control system based on combined latency compensation PID algorithm and parameter optimization method were proposed.Based on multi-input and multi-output time series data of the production process,grey model was used to predict state variables of the rotary drying machine.Then system state variables obtained from the predictive model were used as inputs to design the latency compensation PID controller for each parameter,and the control system were combined to form.Meanwhile,chaotic biogeography-based optimization algorithm was used to optimize the parameters of sub controller.The experimental results show that the grey model has a higher accuracy and smaller prediction error in the state prediction of thin plate dryer.The rise time for controlling the exhaust air temperature of is as low as about 38 s,and the exhaust air temperature can be quickly adjusted to the set temperature.Moreover,the overshoot of the control process is smaller and the stability time is shorter.The proposed combined latency compensation PID controller can achieve fast,low overshoot,and high efficiency operation control of thin plate dryer,and has strong practicality.
万方数据
维普
