Speed control of hydraulic elevator by using PID controller and self-tuning fuzzy PID controller

Hydraulic elevators are widely used in the world because of their simple structure, smooth running and comfortable ride, This paper presents a conventional PID controller and a self-tuning Fuzzy PID controller to control speed of elevator, their performance are compared by analyzing their step response curves, track-feature, error curves as well as ideal speed response curves. Simulation results show that Fuzzy PID controller has better control performance than the conventional PID controller. The modeling, control and simulation of the elevator system have been done using the software package MATLAB/SIMULINK.

[1]  Guanrong Chen,et al.  An improved robust fuzzy-PID controller with optimal fuzzy reasoning , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[2]  Wei Li,et al.  Design of a hybrid fuzzy logic proportional plus conventional integral-derivative controller , 1998, IEEE Trans. Fuzzy Syst..

[3]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  M. Sugeno,et al.  Fuzzy modeling and control of multilayer incinerator , 1986 .

[5]  Michio Sugeno,et al.  A fuzzy-logic-based approach to qualitative modeling , 1993, IEEE Trans. Fuzzy Syst..

[6]  George K. I. Mann,et al.  Analysis of direct action fuzzy PID controller structures , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[7]  Kazuo Tanaka,et al.  Stability analysis and design of fuzzy control systems , 1992 .

[8]  Chao Shi,et al.  Absolute Stability Analysis and Design of Fuzzy Control Systems , 2008, 2008 IEEE International Conference on Networking, Sensing and Control.

[9]  Leonid Reznik,et al.  PID plus fuzzy controller structures as a design base for industrial applications , 2000 .

[10]  Ning Wang,et al.  A developed method of tuning PID controllers with fuzzy rules for integrating processes , 2004, Proceedings of the 2004 American Control Conference.

[11]  Xu Bing,et al.  Computational simulation and experimental research on speed control of VVVF hydraulic elevator , 2004 .

[12]  George K. I. Mann,et al.  A systematic study of fuzzy PID controllers-function-based evaluation approach , 2001, IEEE Trans. Fuzzy Syst..

[13]  Guanrong Chen,et al.  Fuzzy PID controller: Design, performance evaluation, and stability analysis , 2000, Inf. Sci..

[14]  Emil Levi,et al.  Identification of complex systems based on neural and Takagi-Sugeno fuzzy model , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).