DocumentCode
1854117
Title
Sliding Mode-PID Approach for Robust Low-level Control of a UGV
Author
Tran, T.H. ; Nguyen, M.T. ; Kwok, N.M. ; Ha, Q.P. ; Fang, G.
Author_Institution
ARC Centre of Excellence for Autonomous Syst., Univ. of Technol., Sydney, NSW
fYear
2006
fDate
8-10 Oct. 2006
Firstpage
672
Lastpage
677
Abstract
This paper presents an efficient approach for low-level control of an unmanned ground vehicle (UGV) operating in rough terrains. In particular, it tackles with the problem of overshoot in the vehicle braking system that arises from severe nonlinearity and input time-delay. The resultant high-performance and robustness of the control system are achieved by cascading a sliding mode controller (SMC) in series with a conventional PID controller. The idea is based on modelling the system as a second order time-delay system under PID control while the SMC is incorporated to shape the control input for time-delay and nonlinearity compensation. An output predictor is also employed here to obtain the necessary information to realize the proposed controller. The validity of the proposed approach is verified through simulations for the braking system of UGVs developed at our Centre.
Keywords
brakes; control nonlinearities; delay systems; delays; hydraulic systems; predictive control; remotely operated vehicles; robust control; three-term control; variable structure systems; nonlinearity compensation; output predictor; robust control; robust low-level control; rough terrains; sliding mode-PID control; time-delay system; unmanned ground vehicle; vehicle hydraulic braking system; Control systems; Delay effects; Engines; Land vehicles; Remotely operated vehicles; Robust control; Shape control; Sliding mode control; Three-term control; Vehicle driving;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering, 2006. CASE '06. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
1-4244-0310-3
Electronic_ISBN
1-4244-0311-1
Type
conf
DOI
10.1109/COASE.2006.326963
Filename
4120429
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