Title :
Robust adaptive control of uncertain nonlinear systems via disturbance observer techniques
Author :
Song, Seong-Ho ; Kim, Jeom-Keun ; Lee, Seon-Woo ; Im, Yoon-Tae
Author_Institution :
Div. of Inf. Eng. & Telecommun., Hallym Univ., Chunchon, South Korea
Abstract :
This paper deals with robust control problems for nonlinear systems with matched uncertainties. In order to handle the uncertainties, the uncertainties are considered as disturbances. First, a disturbance observer is designed and the uncertainties can be rejected by subtracting these estimated values of disturbances from the plant input. Since the disturbance observer is a kind of low-pass filter, it has inevitably estimation errors. To get rid of the effects of these errors, the additional control should be applied. This additional control input is designed using adaptive control scheme. The unknown disturbance error bounds are estimated by adaptive parameter estimation methods and then the control input is calculated using these estimate values. But the control input needs to be switched on the sliding surface and provokes a chattering phenomenon. The control method suggested in this paper can, however, reduce the chattering phenomenon as small as possible by using large disturbance observer gain because the magnitude of the switching control input is dependent on the disturbance estimation errors which are decided by the accuracy of the designed disturbance observer.
Keywords :
adaptive control; adaptive estimation; control system synthesis; low-pass filters; nonlinear control systems; observers; parameter estimation; robust control; switching; uncertain systems; adaptive parameter estimation methods; chattering phenomenon; control system synthesis; disturbance error bounds; disturbance observer techniques; error estimation; low pass filter; observer gain; plant input; robust adaptive control; sliding surface; switching control input magnitude; uncertain nonlinear systems; Adaptive control; Control systems; Error correction; Estimation error; Nonlinear systems; Parameter estimation; Programmable control; Robust control; Sliding mode control; Uncertainty;
Conference_Titel :
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN :
0-7803-7906-3
DOI :
10.1109/IECON.2003.1279968