Modeling and Optimal Control of a DC Motor
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : Tayfun Abut
|DOI : 10.14445/22315381/IJETT-V32P227|
Tayfun Abut "Modeling and Optimal Control of a DC Motor", International Journal of Engineering Trends and Technology (IJETT), V32(3),146-150 February 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Realization in the simulation environment in order to acquire the behaviors of the systems prior to the real-time studies is of great importance in terms of detecting the faults that may occur during the real-time studies and distinguishing them in the algorithm developing phases and preventing them. In this study; modeling, inspecting, and the effect of the kalman filter in the noise environment and comparing the performances of the filtered controllers of a direct current (DC) motor is shown. Linear quadratic regulator (linear quadratic regulator-LQR) and proportional integral differential (proportional-integral-derivative PID) methods among the optimal control techniques were used for the speed monitoring of the DC motor. Both process noise and computation noise were applied to the DC motor system. Kalman filter was designed to increase the performance of the controllers in the noise environment. The controller was designed in the MATLAB environment and according to the gathered simulation environment results, the applied control methods were compared and the results were scrutinized.
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Kalman Filter, LQR, PID, DC Motor