ABSTRACT
For autonomous mobile robots that are adaptive to follow a moving object problem, a kind of following speed control system, which was based on neural networks, and designed by applying the PIDNN (Proportional—Integral—Derivative Neutral Network) control method to the velocity control system of an autonomous mobile robot, is put forward. The PIDNN control system does not rely on the robot’s mathematical model, can adjust the neuron weights adaptively according to the actual situation, and then optimizes the control effect of the robot’s speed. Through the contrast experiment, it is shown that the PID neural network controller, when compared with the traditional PID controller, has the advantages of quick response, small overshoot, and no static error, which greatly increased the performance of the robot speed control system.
