Title :
Design of a self-adjust controller using multiple local linear models for nonlinear systems
Author :
Imai, Suguru ; Yamamoto, Takayuki
Author_Institution :
Dept. of Electron. Control Eng., Hiroshima Nat. Coll. of Maritime Technol., Hiroshima, Japan
Abstract :
Almost all real-world plants are represented by nonlinear systems. Therefore, it is important to consider control schemes to cope with such systems. In this paper, a control method for nonlinear systems is newly proposed. Some local linear models on typical equilibrium points are first designed, followed by linear controllers corresponding to these models. The distances between the query and these local models are calculated, and the weights are computed in proportion to the distances. These weights are put for local controllers, and the controller corresponding to the query can be designed. According to the proposed scheme, the good control performance can be easily obtained. The effectiveness of the control scheme is illustrated by some simulation examples.
Keywords :
control system synthesis; nonlinear control systems; self-adjusting systems; linear controllers; multiple local linear models; nonlinear systems; selfadjust controller design; Databases; Equations; Genetics; Mathematical model; Noise; Process control; Robustness;
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2011 International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4577-1698-0