Title :
Adaptive feedforward cancellation for nonlinear systems using RLLM networks
Author :
Ali, A. ; Junge, T.F. ; Unbehauen, H.
Author_Institution :
Dept. of Electr. Eng. & Inf. Sci., Ruhr-Univ. Bochum, Bochum, Germany
Abstract :
An algorithm for adaptive feedforward cancellation (AFC) of high frequency measurable disturbances for a class of nonlinear dynamical systems is developed. A rectangular local linear model (RLLM) network is used to model nonlinear dynamical behaviour of the system and to predict the effect of the disturbances. Another network of the same kind containing local linear compensation units is used as a feedforward controller based on the prediction mentioned above. This scheme is appended with a feedback controller for the sake of better tracking performance.
Keywords :
adaptive control; compensation; feedback; feedforward; linear systems; nonlinear dynamical systems; AFC; RLLM networks; adaptive feedforward cancellation; feedback controller; feedforward controller; local linear compensation unit; nonlinear dynamical system; rectangular local linear model network; Adaptation models; Adaptive control; Feedforward neural networks; Frequency control; Neurons; Polynomials; Predictive models; Adaptive Control; Control of Nonlinear Discrete-time Systems; Learning Systems; Neural Networks; Sampled Data Systems;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
