The design of human simulated intelligent controller for DC motor

A control system based on human-simulated intelligent control (HSIC) is designed using a mathematical model of a DC motor. In the DC motor control system, the human-simulated intelligent controller is implemented for the HSIC speed loop. The controller parameters are set and optimized using the particle swarm optimization algorithms with adaptive inertia weight based the simulation model. Simulation results show the human-simulated intelligent motor control system of the HSIC-based DC motor has high dynamic and static performances as well as high adaptability and robustness. The result of simulation confirms that the controller is able to reduce steady state error and improve controller´s reliability during power supply disturbance and load disturbance.