Optimization Design of Wheeled Mobile Robot Control System Based on Intelligent Algorithm

Taking the differential drive wheeled mobile robot as the research object, and considering the load torque. In order to achieve the high efficiency and precise control of the speed and steering of the robot, establish the mathematical model of the permanent magnet brushless DC motor and do from the motor speed control, PID controller based on particle swarm optimization algorithm and ant colony optimization is designed, which can adjust the PID parameters automatically. The results show that the controller based on particle swarm optimization algorithm completely meets the control design standards, and the system has a good dynamic and steady performance. It also proves the feasibility and superiority of the intelligent optimization control strategy.