Dnyanamay

Open Access Open Access  Restricted Access Subscription Access

Design and Development of Temperature Control System using Fuzzy-Pid Controller


Affiliations
1 Dept. Electrical Engineering, P.E. Society's Modern College of Engineering, Pune - 05, India
2 Dept. of Electrical Engineering, P.E. Society's Modern College of Engineering, , Pune -05., India
 

Temperature control has eventually been an important issue in process industries. Outlining of PID based fuzzy controller utilizing proposed smart methods would drastically enhances the speed of reaction of framework, rise time and settling time would be decreased in extent in comparison with conventional PID controller. In this proposed work, a self-tuning fuzzy PID controller is composed through constant refreshing of its yield scaling element. Rather than utilizing a mind boggling three dimensional manage base for acquiring PID activity. Online self-tuning component gives enhanced execution of the proposed fuzzy PID controller contrasted with regular PID controller. Online self-tuning system gives enhanced execution of the proposed fuzzy PID controller contrasted with traditional PID controller. Fuzzy standards are used on-line to decide the controller parameters in light of blunder and its first time derivative. Simulation and experimental results of the proposed conspire indicate great exhibitions contrasted with the PID controller with settled parameters as far as unique and unfaltering state qualities of all circles. Simulations are done in MATLAB/SIMULINK.

Keywords

Temperature Control, Fuzzy PID, Matlab, Simulink.
User
Notifications
Font Size

  • Chuntao Man, Jia Li, Lanying Wang, Yantao Chi. “The Fuzzy PID Control System for Superheated Steam Temperature of Boiler”, 2011 The 6th International Forum on Strategic Technology.

  • 2008 International Conference on Intelligent Computation Technology and Automation by ZENG Jing, XIE Youcheng, CHEN Lei College of Energy and Power Engineering, Changsha University of Science and Technology, Changsha, 410076, China, “Design of Main Steam Temperature Cascade Control System Based on Fuzzy Self-tuning PID Controller”.

  • Yonghui Zhang Cheng Shao, College of Information Science and Technology Research Center of Information and Control Hainan University on “Fuzzy-PID Hybrid Control for Temperature of Melted Aluminum in Atomization Furnace”.

  • 2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC) “Design of Fuzzy Gain Scheduler for Superheater Temperature Control in Power Plant” by T. K. Sai* NTPC India & K. A. Reddy* KITSW India.

  • Jiang Jing & Zhang Xuesong, N ational Laboratory of Electro-Optics System Technology Hebei, China “Research on Fuzzy-PID control algorithm from the temperature control system”.

  • Xiao Junming Zhu Haiming Jiao Lingyun Zhang Rui School of Electrical and Information Engineering, Zhongyuan University of Technology Zhengzhou 450007, China “Based on Fuzzy - PID self-tuning temperature control system of the furnace”.

  • International Journal of Engineering Trends and Technology (IJETT) – Volume 11 Number 6 - May 2014, Aborisade, David O. #1, Oladipo Stephen, 1Associate professor, PG student “Poultry House Temperature Control Using Fuzzy-PID Controller”.


Abstract Views: 118

PDF Views: 206




  • Design and Development of Temperature Control System using Fuzzy-Pid Controller

Abstract Views: 118  |  PDF Views: 206

Authors

N. R. Kulkarni
Dept. Electrical Engineering, P.E. Society's Modern College of Engineering, Pune - 05, India
Hrushikesh Bagade
Dept. of Electrical Engineering, P.E. Society's Modern College of Engineering, , Pune -05., India

Abstract


Temperature control has eventually been an important issue in process industries. Outlining of PID based fuzzy controller utilizing proposed smart methods would drastically enhances the speed of reaction of framework, rise time and settling time would be decreased in extent in comparison with conventional PID controller. In this proposed work, a self-tuning fuzzy PID controller is composed through constant refreshing of its yield scaling element. Rather than utilizing a mind boggling three dimensional manage base for acquiring PID activity. Online self-tuning component gives enhanced execution of the proposed fuzzy PID controller contrasted with regular PID controller. Online self-tuning system gives enhanced execution of the proposed fuzzy PID controller contrasted with traditional PID controller. Fuzzy standards are used on-line to decide the controller parameters in light of blunder and its first time derivative. Simulation and experimental results of the proposed conspire indicate great exhibitions contrasted with the PID controller with settled parameters as far as unique and unfaltering state qualities of all circles. Simulations are done in MATLAB/SIMULINK.

Keywords


Temperature Control, Fuzzy PID, Matlab, Simulink.

References