Comparative Study on Fuzzy PID Controller and Conventional PID Controller

Huan Xin Cheng; Dao Sheng Zhang; Li Cheng

doi:10.4028/www.scientific.net/AMM.328.112

Paper Titles

Body Measurements Forecast Based on Factor Analysis and Radical Basis Function Net
p.89

Study Based on Piecewise Drying Process of Corn Seed Multi-Purpose Drying System
p.93

Fuzzy Control Approach to Reconfigurable Manufacturing System Involving Equipment Representation
p.100

The Basic Data Establishment for Automobile Panels' Main Stamping Defects Control
p.105

Comparative Study on Fuzzy PID Controller and Conventional PID Controller
p.112

An Interaction Process Model for Virtual Objects Based on Interaction Structures
p.117

Application of PSO Algorithm in PMSM Sensorless Control System
p.123

Three Dimensional Path Planning of Autonomous Underwater Vehicles
p.128

Design and Analysis for Three Phase Meshing Gear Motor
p.133

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 328Comparative Study on Fuzzy PID Controller and...

Comparative Study on Fuzzy PID Controller and Conventional PID Controller

Abstract:

PID controller is simple, stable and reliable. But the controller parameters cannot adjust themselves when the object varies. To solve the problem, this paper combined fuzzy control and PID controller, realized self-adjustment of PID parameters using fuzzy reasoning method, analysed the advantages over the traditional PID controller. The simulation was researched by Matlab and the results show that fuzzy PID controller has advantages of higher accuracy, faster response and less overshoot.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 328)

Pages:

112-116

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.328.112

Citation:

Cite this paper

Online since:

June 2013

Authors:

Huan Xin Cheng, Dao Sheng Zhang, Li Cheng

Keywords:

Fuzzy Control, PID Control, Self-Tuning Controller

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] S.Q. Wang.Advanced control technology and its application.Beijing:Chemical Industry Press, 2005.

Google Scholar

[2] J.K. Liu.Advanced PID control and Matlab simulation.Beijing:Electronic Industry Press,2003.

Google Scholar

[3] M.Su,L.J. Chen,H.Lin.Study of fuzzy PID control. Journal of Computer Applications, 2004, (4):51-55.

Google Scholar

[4] Y.J. Cui Y.L.Du,X.L. Wang.Design of self-adaptive fuzzy PID controller. Control Engineering, 2008,(15):128-129.

Google Scholar

[5] W.H. Gao Y.L. Chen.A simple parameter tuning method for PID-type Fuzzy Control. Measurement & Control Technology, 2000, 19(11):39-41.

Google Scholar

[6] C.J. Huang,L.Wang.The computer simulation of the control system based on fuzzy logic toolbax.Computer Simulation, 2003,20(2):75-78.

Google Scholar

[7] G.M. Luo X.Y. Huang J.L. Zhu. Computer simulation of fuzzy self-tuning PID controller parameters based on MATLAB. Automation & Instrumentation , 2001,11(3):21-24.

Google Scholar

[8] G.L. Zhang. Fuzzy control and its MATLAB application. Xian: xi 'an Jiaotong University Press, 2002.

Google Scholar

[9] F.L. Yuan.Design and MATLAB simulation of PID-controller with fuzzy self-adjusting parameter.Journal of Shenyang Institute of Aeronautical Engineering,2006,23(1):50-52.

Google Scholar

[10] Y.M. Fang X.H. Jiao.Computer simulation of fuzzy control system based on MATLAB. Automation & Instrumentation, 2000, 11(2):19-21.

Google Scholar