Title :
Robust multi-objective and nonlinear control of high-rise elevator vertical motion system based on T-S fuzzy model using PDC and LMIs
Author :
Yu, Haiyan ; Zhang, Xin ; Li, Hongxia
Author_Institution :
Sch. of Inf. & Sci. Eng., Shenyang Univ. of Technol., Shenyang, China
Abstract :
Motion control of high rise elevator is a typical multi-objective control and nonlinear control problem. To effectively solve the multi-objective control and nonlinear control problem, an linear matrix inequality (LMI)-based and Takagi-Sugeno(T-S) model-based fuzzy approach is employed. First, the generalized T-S type fuzzy model for the system is constructed, and then system global state controller was carried out via the so-called parallel distributed compensation (PDC) scheme. Second, state feedback robust controller was gained based on LMI method. The simpleness and effectiveness of the controller were showed by the simulation, and the robustness was satisfied for the system. Multiobjective control and nonlinear control problems have been solved effectively.
Keywords :
compensation; fuzzy control; lifts; linear matrix inequalities; motion control; nonlinear control systems; robust control; state feedback; LMI; PDC; T-S type fuzzy model; Takagi-Sugeno model-based fuzzy approach; high-rise elevator vertical motion system; linear matrix inequality; nonlinear control problem; parallel distributed compensation; robust multiobjective control; state feedback robust controller; system global state controller; Control system synthesis; Elevators; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Motion control; Nonlinear control systems; Robust control; State feedback; Takagi-Sugeno model; Elevator; LMI; PDC controller; T-S fuzzy model;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262743