Title :
A Novel Inversion Method for a Fuzzy Model Based Controller
Author :
Salman, S.A. ; Anavatti, G.S.
Author_Institution :
Australian Defence Force Acad., Northcott Drive
Abstract :
This paper presents an approximate analytical inversion method for controller design using the mathematical description of the fuzzy system. The analytical inversion makes it easier to implement. The results of the proposed inversion method are compared with other methods as applied to a benchmark problem. The simulation results show that the new inversion method is better than other compared inversion techniques. The robustness and disturbance rejection characteristics are also investigated.
Keywords :
control system synthesis; fuzzy control; analytical inversion method; controller design; disturbance rejection characteristics; fuzzy model based controller; fuzzy system; Adaptive control; Australia; Force control; Fuzzy control; Fuzzy systems; Level control; Nonlinear control systems; Predictive models; Process control; Programmable control; Fuzzy Iinversion; Fuzzy model based;
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
DOI :
10.1109/ICMA.2007.4303523
