Title: Fuzzy control with input energy and state variance constraints for perturbed ship steering systems
Authors: Wen-Jer Chang, Sheng-Ming Wu
Addresses: Department of Marine Engineering, National Taiwan Ocean University, Keelung 202, Taiwan, ROC. ' Department of Electrical Engineering, National Central University, Chung-li 320, Taiwan, ROC
Abstract: In this paper, a fuzzy controller design problem is considered for nonlinear perturbed ship steering systems. The nonlinear perturbed ship steering system is transformed into a Takagi-Sugeno (T-S) fuzzy model, which has similar dynamics to the original nonlinear system. By using linear feedback controller design technology, a nonlinear fuzzy controller is developed for the perturbed T-S type ship steering model. Building on the nonlinear fuzzy controller, a number of most important performance constraints in fuzzy control systems are addressed. These include stability conditions, minimum control input energy, and individual state variance constraints. Finally, a numerical simulation is given to show the effects of the proposed fuzzy control methodology.
Keywords: ship steering systems; Takagi-Sugeno fuzzy stochastic systems; control input energy; stability; state variance constraints; linear matrix inequality; LMI; fuzzy control; control design; T-S model; linear feedback control; simulation; fuzzy models.
International Journal of Computer Applications in Technology, 2006 Vol.27 No.2/3, pp.133 - 143
Published online: 19 Oct 2006 *Full-text access for editors Access for subscribers Purchase this article Comment on this article