Control of a Direct Current Motor Using Time Scaling

Abstract

Humans naturally control their surrounding space. However, that capacity has not been fully used to build better intelligent controllers, mainly because the reaction time of a person limits the number of industrial applications. In this paper, the author propose a method to overcome the problem of reaction time for a human in the control loop. This method, called Time Scaling Control, starts by modifying the constant times of the plant’s model to the point where control is comfortable for a human. Then, the controller acquires the knowledge that was expressed during the human control stage and places it in a Neural Network, which controls both scaled and original plants. Time Scaling Control highly improves the control performance compared with a PID, in this case demonstrated by the control of a direct current motor, which cannot be controlled by a human without time scaling control due to the speed of the system.