Study On Parameter Optimization Of PID Controller Based On Reformative Artificial Bee Colony Algorithm

In industrial production,the most commonly used controller is the PID controller.PID controllers are widely used because of their simple structure,easy operation,and good robustness.The core problem of PID controllers is the problem of parameter optimization.However,due to the rapid development of the industry,the control process is becoming more and more complex,so the traditional PID controller parameter optimization method can not fully adapt to the development of the current industry.Therefore,it is necessary to study a new and effective parameter optimization method.The artificial bee colony(ABC)algorithm has the advantages of simple principles,few control parameters,and strong robustness,and has been applied to many fields.However,the current ABC algorithm has the problems of slow convergence speed and poor convergence accuracy.This thesis balances the search speed and search accuracy of the ABC algorithm,applies this method to PID controller parameter optimization,and then applies the optimized PID controller to different systems.1.A reformative artificial bee colony(RABC)algorithm is proposed for the PID controller parameter optimization problem.The algorithm balances the search speed and searches accuracy of the ABC algorithm by introducing two methods: global optimal solution and improved food source probability.The proposed algorithm is also validated by simulation with 18 standard test functions,and the results show that the RABC algorithm has higher search accuracy and faster search speed than the basic ABC algorithm and other variants of the ABC algorithm.2.By comparing and verifying three typical systems: DC motor system,double-volume water tank system,and electro-hydraulic position control system of the sliding table of CNC combined machine tool,the PID controller optimized by the RABC algorithm has the characteristics of minimum overshoot,fast response,and also has good robustness and better control effect.3.Through comparative verification in the radar servo system,the experimental results prove that the PID controller optimized by the RABC algorithm is better than the PID controller optimized by the other three algorithms.The tracking error value of the RABC-PID controller is the smallest of the four controllers,and it has stronger robustness,which further improves the tracking performance of the radar servo system.4.By comparing and verifying the traditional PID controller,PSO-PID controller,DE-PID controller,and GA-PID controller in the active magnetic bearing system,the experimental results prove that the PID controller optimized by the RABC algorithm is superior to the other four controllers.The amplitude margin of the RABC-PID controller is the largest of the five methods,which indicates that the active magnetic bearing system controlled by the RABC-PID controller is the most stable.The RABC algorithm-optimized PID controller further improves the stability of the active magnetic bearing system.