Real Time Implementation of PID and Fuzzy PD Controllers for DC-Servo Motor Based on Lab View Environment

Main Article Content

Safaa M. Z. Al-Ubaidi
Editor@tj-es.com
Maher M. F. Algreer
Editor@tj-es.com

Abstract

This paper presents an implementation of conventional PID (CPID) controller using Ziegler-Nichols rules and fuzzy PD (FPD) controller for position servo motor control based on Lab View (Laboratory Virtual Instrument Engineering Workbench Environment) through Data Acquisition (DAQ) Device PCI- 6521 of National Instrument's and Data Acquisition Accessory Board Model (CB-68LP).CPID controller is perhaps the most well-known and most widely used in industrial applications. However, it has been known that CPID controller generally don’t work well for non-linear systems, higher order and time-delayed linear system and particularly complex and vague system. To overcome these difficulties, this paper proposes to use the FPD controller for a servo motor system instead of CPID. The parameters of servo motor used are completely unknown. The FPD structure has two-input single-output and fairly similar characteristic to its conventional counterpart and provides good performance. Simple rules base are used for FPD (nine rules only). Performance evaluation was carried out via a comparison study for the proposed control scheme and other existing control scheme, such as CPID controller. The critical point for this experiment on position system is a steady state error and settling time. The performance showing that the FPD has less settling time and zero steady state error over its CPID. The algorithms of FPD and CPID controllers are implemented using PID, Fuzzy Logic and simulation toolkits of the Lab View environment.

Article Details

Section
Articles

References

Gordon Mc Comb's and Myke Predko's, "The Robot Builder's Bonanza", Mc Graw-Hill, 2006.

Tank K.S., Kim Fung Man, and Guanrong Chen, " An Optimal Fuzzy PID Controller ", IEEE Trans. on Industrial Electronics, Vol. 48, No.4, pp. 757-765, August 2001. DOI: https://doi.org/10.1109/41.937407

M. Santos, J. M. de la Cruz, S. Dormido and A.P.de Madrid, "Between Fuzzy-PID-Conventional Controller: a Good Choice", IEEE Conference of the North American Fuzzy Information Processing Society-NAFIPS, pp. 123-127. Berkeley, 1996.

Devendra P. Garg and Manish Kumar, "Genetic Algorithm Based PD Control and Fuzzy Logic Control of a Two Link Robot", International Mechanical Engineering Congress & Exposition (IMECE'02), ASME, November 2002.

Vivek Sharma, "Development of Control Lab Interface for Data Acquisition Using Lab VIEW" , Automatic Control, School of Electrical Engineering, KTH, Stockholm, Sweden, MSC thesis, February 2007.

Kiam Heong Ang, Gregory Chong and Yun Li, "PID Control System Analysis, Design, and Technology", IEEE Trans. on Control Systems Technology, Vol.13, No.4, pp.559- 576, July 2005. DOI: https://doi.org/10.1109/TCST.2005.847331

Robert P. Copeland and Kuldip S. Rattan, "A Fuzzy Supervisor for PD Control of Unknown Systems", IEEE International Symposium on Intelligent Control, August 1994.

F. H. Ali and Maher M. F. Algreer, "Fuzzy PID Control for Positioning Plants With Uncertain Parameters Variation", The 2nd IEEE International Conference on Information & Communication Technologies: From Theory to Applications (ICTTA'06), April 2006.

Jan Jantzen, "Tuning of Fuzzy PID Controllers", Technical University report of Denmark: Dept. of Automation, www.iau.dtu/jj/pubs., September 1998.

Similar Articles

You may also start an advanced similarity search for this article.