Abstract: A control system consists of an interconnection of components so that the output of the overall system will follow as closely as possible the desired signal. Many industrial automatic controllers are electronic, hydraulic, pneumatic, or their combinations. Industrial controllers, also, may be classified according to control actions. Generally there are four basic control actions: on-off control, Proportional (P) control, Integral (I) control and Derivative (D) control. The performance of a controlled physical system can often be improved by fine adjustment or tuning the control actions. If a mathematical model of the plant can be derived, the fine-tuning of the controller parameters can be performed by computer simulations. In this study, a new computational method to determine the optimum parameters of a controller for mathematically modeled system is developed. The method, a kind of the trial-and-error approach to system design, computes the optimum parameters of a controller (P, PI, PD and PID) in a short time by using mathematical model of the system and design specifications of the controller. For this purpose, a computer simulation program has been improved and tested.
M.E. Guven and A. Altintas , 2005. A Computational Method to Determine the Optimum Parameters of a Controller Designed for Mathematically Modeled Systems . Asian Journal of Information Technology, 4: 1020-1026.