Pedro, Jimoh Olarewaju ; Dahunsi, Olurotimi Akintunde
Korbicz, Józef - red. ; Uciński, Dariusz - red.
This paper presents the design of a neural network based feedback linearization (NNFBL) controller for a two degree- offreedom (DOF), quarter-car, servo-hydraulic vehicle suspension system. The main objective of the direct adaptive NNFBL controller is to improve the system?s ride comfort and handling quality. A feedforward, multi-layer perceptron (MLP) neural network (NN) model that is well suited for control by discrete input-output linearization (NNIOL) is developed using input-output data sets obtained from mathematical model simulation ; The NN model is trained using the Levenberg-Marquardt optimization algorithm. The proposed controller is compared with a constant-gain PID controller (based on the Ziegler-Nichols tuning method) during suspension travel setpoint tracking in the presence of deterministic road disturbance. Simulation results demonstrate the superior performance of the proposed direct adaptive NNFBL controller over the generic PID controller in rejecting the deterministic road disturbance. This superior performance is achieved at a much lower control cost within the stipulated constraints.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, Volume 21, Number 1 (2011) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Sep 7, 2021
Aug 20, 2018
|Neural network based feedback linearization control of a servo-hydraulic vehicle suspension system||Sep 7, 2021|
Witczak, Marcin Korbicz, Józef - red.
Abdessemed, Foudil Monacelli, Eric Benmahammed, Khier Korbicz, Józef - red. Uciński, Dariusz - red.
Szabó, Tamás Horváth, Gábor Korbicz, Józef - red. Patton, Ronald J. - red.
Dzieliński, Andrzej Korbicz, Józef - red. Uciński, Dariusz - red.
Duch, Włodzislaw Adamczak, Rafał Diercksen, Geerd H.F. Rutkowska, Danuta - ed. Zadeh, Lotfi A. - ed.
Mrówczyńska, Maria Kuczma, Mieczysław - red.
Raja, Ramachandran Sakthivel, Rathinasamy Anthoni, Selvaraj Marshal Kim, Hyunsoo Korbicz, Józef - red. Uciński, Dariusz - red.
Ławryńczuk, Maciej Tatjewski, Piotr Korbicz, Józef - red. Uciński, Dariusz - red.