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Comparison of Control Strategies Applied to Nonlinear Quarterly Car Passive Suspension System

Muhammad Sani Gaya(1), Amir Bature(2*), Lukman A. Yusuf(3), I. S. Madugu(4), Ukashatu Abubakar(5), Saidu Adamu Abubakar(6)

(1) Dept. of Electrical Engineering, Kano University of Science & Technology, Wudil, Nigeria
(2) Dept of Electrical Engineering, Bayero University Kano, Nigeria
(3) Dept of Electrical Engineering, Bayero University Kano, Nigeria
(4) Dept. of Electrical Engineering, Kano University of Science & Technology, Wudil, Nigeria
(5) Dept. of Electrical Engineering, Kano University of Science & Technology, Wudil, Nigeria
(6) Dept. Of Computer Engineering, Jigawa State Institute of Information Technology, Kazaure, Nigeria
(*) Corresponding author


DOI: https://doi.org/10.15866/ireaco.v8i3.5833

Abstract


Road unevenness causes wheel and engine vibration which in turn lead to internal noise in automobiles. Developing a reliable control algorithm for vehicle suspension system is quite cumbersome due to the nonlinear nature of the system coupled with the issue of improving compromise between the conflicting demands of ride comfort and road handling. This paper presents a comparison of Fuzzy, Neural Network (NN) inverse control and Nonlinear Proportional Integral Derivative (NPID) control applied to the quarterly car passive suspension system. The performances of the controllers were evaluated based on rise time, settling time and peak time as illustrated via set-points tracking. The simulation results indicated that the performances of the Fuzzy controller and NPID are slightly better than neural network inverse control which could be due to lack of obtaining an accurate inverse plant model. The Fuzzy controller and NPID may serve as an alternative and valuable control schemes for the system
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Keywords


Suspension System; Fuzzy System; Neural Network; NPID

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