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.
Utility needs smarter power meters in order to reduce economic losses
