Title :
A novel adaptive control for elevator system with observer and parameter identification
Author :
Yu, Haiyan ; Zhang, Xin ; Dong, Xiaohui
Author_Institution :
Sch. of Inf. & Sci. Eng., Shenyang Univ. of Technol., Shenyang, China
Abstract :
Elevators are uncertain and time varying systems. In addition, high performance is required in the next generation elevators, e.g., speed/flight time, accuracy, vibration compensation, human factor(comfort etc.) and robustness. Starting jerks, parameter variation and disturbances cause an uncomfortable run. Considering these problems mentioned above, an adaptive controller is presented in this paper. A servo error observer and a disturbance rejection control is designed in the adaptive controller. The parameters of the linearized system are identified, thus allowing the observer coefficients and the gain values to be adapted, hence the effect of parameter variation and uncertainty can be reduced. The simulation of the proposed adaptive controllers is made. The results show that the robustness of the adaptive controller is superior, and the convergence of the adaptive controller is better.
Keywords :
adaptive control; control system synthesis; convergence; lifts; observers; time-varying systems; adaptive control; convergence; disturbance rejection control; elevator system; human factor; linearized system; parameter identification; servo error observer; time varying systems; uncertain systems; vibration compensation; Adaptive control; Elevators; Error correction; Humans; Parameter estimation; Programmable control; Robustness; Servomechanisms; Time varying systems; Uncertainty; Elevator; adaptive control; parameter identification;
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.2009.5262848