Title :
A new adaptive fuzzy nonlinear control strategy
Author :
Kreesuradej, Worapoj
Author_Institution :
Fac. of In. Technol., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Abstract :
This paper proposes a new adaptive fuzzy nonlinear control strategy that allows designers to systematically construct fuzzy control. The control strategy proposes the use of fuzzy logic systems within a well understood control structure that is called nonlinear internal model control (NIMC) structure. The attractive feature of the NIMC structure is that the relations between some designed parameters and the performance of the control system can be found explicitly. Thus, this control structure allows designers to systematically construct fuzzy control. In addition to using fuzzy logic systems within a well understood control structure, an adaptive control strategy is also proposed in this paper. The control strategy is applied to control the inverted pendulum model. The results show that the proposed strategy can maintain the system stability and give a good control performance
Keywords :
adaptive control; fuzzy control; nonlinear control systems; pendulums; stability; NIMC structure; adaptive fuzzy nonlinear control strategy; control performance; inverted pendulum model; nonlinear internal model control; system stability; Adaptive control; Control systems; Convergence; Error correction; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear control systems; Programmable control; Stability;
Conference_Titel :
Circuits and Systems, 1998. IEEE APCCAS 1998. The 1998 IEEE Asia-Pacific Conference on
Conference_Location :
Chiangmai
Print_ISBN :
0-7803-5146-0
DOI :
10.1109/APCCAS.1998.743908