Research on control system of working robot in nuclear environment based on Neural Network PID

In order to achieve precise control of the motion state of a working robot in a nuclear environment, and to ensure that the working robot can work stably in a complex nuclear environment, a neural network PID algorithm is carried out on the driving system of the wheeled mobile robot; in multiple groups of walking units A speed compensator is designed between the control systems to make the control systems of multiple groups of walking units have a coupling relationship, which can ensure the synchronization between multiple groups of walking units. Use the corresponding program code to experiment and simulate the above control method. The experimental results show that the neural network PID can realize the precise control of the robot's motion state. Compared with the traditional PID, it has the characteristics of small overshoot and short transition time; it is realized by the speed compensator established between multiple groups of walking units. The synchronized and coordinated operation of multiple sets of walking units enhances the smoothness of the operation robot and can meet the operation requirements of the operation robot in a nuclear environment.