Title :
An adaptive sliding-mode controller for discrete nonlinear systems
Author :
Muñoz, David ; Sbarbaro, Daniel
Author_Institution :
Dept. of Electr. Eng., Univ. de Concepcion, Chile
fDate :
6/1/2000 12:00:00 AM
Abstract :
This paper presents a sliding-mode controller for a class of nonlinear discrete-time systems. The proposed controller uses a modified switching function that produces a low-chattering control signal. In order to improve the controller performance, an adaptive term is added to the original sliding-mode algorithm. This new feature uses an artificial neural network for online identification of the modeling error. Simulations and experimental results illustrate the main characteristics and performance of this approach,
Keywords :
adaptive control; discrete time systems; identification; neural nets; nonlinear control systems; variable structure systems; adaptive sliding-mode controller; artificial neural network; controller performance improvement; discrete nonlinear systems; low-chattering control signal; modeling error; modified switching function; online identification; Adaptive control; Artificial neural networks; Control systems; Electric variables control; Linear systems; Nonlinear control systems; Nonlinear systems; Programmable control; Sliding mode control; Uncertainty;
Journal_Title :
Industrial Electronics, IEEE Transactions on
