DocumentCode
158631
Title
Adaptive Sliding Mode Control for a class of nonlinear MIMO systems: Application to a Turbocharged Diesel Engine
Author
Larguech, S. ; Aloui, S. ; Pages, O. ; El Hajjaji, A. ; Chaari, Abdelkader
Author_Institution
STA Lab., Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
fYear
2014
fDate
16-19 June 2014
Firstpage
1205
Lastpage
1210
Abstract
An Adaptive Sliding Mode Control (ASMC) for a class of nonlinear Multi Input Multi Output (MIMO) systems is presented in this paper. In order to reduce the chattering phenomenon without deteriorating the tracking performance, the discontinuous term of the classical sliding mode law is substituted with an adaptive Proportional Derivative (PD) term. The effect of the approximation error which arises from the PD term is reduced by adding a robust term in the proposed control law. All parameters, adaptive laws and robust control term, are derived based on the Lyapunov stability analysis. The overall adaptive sliding mode scheme guarantees the asymptotic convergence to zero of tracking errors and the boundedness of all signals in the closed-loop system. The proposed approach is applied to a Turbocharged Diesel Engine. Simulation results are presented to show the efficiency of the proposed method.
Keywords
Lyapunov methods; MIMO systems; PD control; adaptive control; closed loop systems; diesel engines; fuel systems; nonlinear control systems; robust control; variable structure systems; ASMC; Lyapunov stability analysis; PD term; adaptive laws; adaptive proportional derivative term; adaptive sliding mode control; approximation error effect; asymptotic convergence; chattering phenomenon; closed-loop system; multiinput multioutput systems; nonlinear MIMO systems; robust control term; sliding mode law; tracking performance; turbocharged diesel engine; Adaptive systems; Diesel engines; MIMO; Manifolds; Sliding mode control; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (MED), 2014 22nd Mediterranean Conference of
Conference_Location
Palermo
Print_ISBN
978-1-4799-5900-6
Type
conf
DOI
10.1109/MED.2014.6961540
Filename
6961540
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