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AUTHOR(S): Ikbal Eski, Sahin Yildirim
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KEYWORDS Neural network, anfis controller, heavy duty vehicle, dc servo motor, electronic throttle valve |
ABSTRACT The objective of this study is to apply various control approaches to control the speed of a heavy duty vehicle (HDV) using an electronic throttle control system. However, the dc servo motor is used for controlling the angular position of electronic throotle valve. Moreover, two control techniquies are used to control prescribed two different random inputs of the heavy duty vehicle speed. These control structures are named as standard PID controller, Adaptive neural network based fuzzy inference (ANFIS) controller. The results of the simulation for two approaches showed that the proposed ANFIS controller has better performance rather than other standard control systems under varying speed conditions. Finally, the proposed control structure will be implemented for speed control of dc servo motor. |
Cite this paper Ikbal Eski, Sahin Yildirim. (2016) Design of Neural Network Based Fuzzy Inference System for Speed Control of Heavy Duty Vehicles with Electronic Throttle Control System. International Journal of Control Systems and Robotics, 1, 128-132 |
