Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Real Time Implementation of Fuzzy Based PID Controller Tuning for Continuous Stirred Tank Heater (CSTH) Process


Affiliations
1 Instrumentation Engineering Department, Bannari Amman Institute of Technology, Sathyamangalam, India
2 Electronics and Instrumentation Engineering Department, Bannari Amman Institute of Technology, Sathyamangalam, India
3 Electronics and Instrumentation Engineering Department, Bannari Amman Institute of Technology, Sathyamangalam, India
     

   Subscribe/Renew Journal


The controlling of temperature was carried out by Proportional Integral Derivative (PID) controller. It may not provide an exact outcome long history of its practical use. With a specific end goal to get precise and successful response, intelligence is included into the system by utilizing Fuzzy Logic Controller (FLC). FLC which helps in keeping up the temperature in a CSTH process has been created and applied to different fields. However, FLC can't adjust for extensive variety of workplaces and furthermore there is no deliberate strategy to outline the Membership Function (MFs) for information sources and yields of a fuzzy framework. So FLC algorithm is utilized to change the controller parameters consequently amid task procedure of a system and controller is utilized to reduce the error. This method is applied in a Continuous Stirred tank Heater (CSTH) process. The real time CSTH plant is interface with LabVIEW with NI data acquisition card real time results demonstrate that FLC strategy is viable for utilizing temperature control with minimum Integral Square Error (ISE), minimum rise time, minimum peak over shoot and minimum settling time.


Keywords

Fuzzy Logic Controller, Proportional Integral Derivative.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Chuen Chien LEE,“Fuzzy Logic in Control Systems: Fuzzy Logic Controller,” in IEEE Transactions on Systems, Man and Cybernetics, vol.20, 1990.
  • Girish Chowdhary and Eric N. Johnson “Adaptive Neural Network Flight Control Using both Current and Recorded Data” AIAA Guidance, Navigation and Control Conference and Exhibit, Hilton Head, South Carolina, 2007
  • Nina F. Thornhill, Sachin C. Patwardhan, Sirish L. Shah, “A continuous stirred tank heater simulation model with applications” Journal of Process Control, Elsevier, 2008
  • J. Prakash, “Design of observer based nonlinear model predictive Controller for a continuous stirred tank reactor,” in Journal of Process control vol. 18 (2008) pp.504-514, 2008.
  • J Prakash and K Srinivasan, “Design of nonlinear PID controller and nonlinear model predictive controller for a continuous stirred tank reactor,” ISA Transactions, 48, 2009, pp. 273 – 282
  • Essam Nathen and Khalid, A. Buragga,“Comparison between Conventional and Fuzzy Logic PID Controller for controlling DC motors,”in International Journal of Computerscience, vol.7, Issue 5,September 2010.
  • Shengquan Li,Juan Li,Jinhao Qiu,Hongli Ji and KongJun Zhu “Control design for arbitrary complex nonlinear discrete-time system based on direct NNMRAC strategy” Journal of Process Control, Elsevier, 2011
  • Mohammad Soroush Soheilirad, Maryam Mohd. Isa,Mojgan Hojabri and Samsul Bahari Mohd. Noor “Modeling Simulation and Control of a Laboratory Scale Continues Stirred Tank Heater” Journal of Basic and Applied Scientific Research 2(5)5362-5373, 2012
  • Abdur Raquib Ridwan, Ishtiza Ibne Azad, Md. Ibnea Sina Bony ‘A Simulink Modeling to Develop a Control System of Stirred Tank Heater with Multifarious Operating Conditions’ International Journal of Computer Applications (0975 – 8887) Volume 57– No.21, November 2012.
  • D. Krishnaa, K. Suryanarayanab, G.R. Aparnab,“Tuning of PID Controllers for Unstable Continuous Stirred Tank Reactors,” proceedings in International Journal of Applied Science and Engineering. 10, pp.1-18, 2012
  • S. Srinivasulu Raju, T.K.S. Ravi Kiran, K.M.N. Chaitanya Kumar Reddy, M. Viswanath “Implementation of PID and Fuzzy PID controllers for Temperature control in CSTR” International Journal of Advanced Research in Computer Science, vol 4, No. 5, May 2013 (Special Issue)
  • Ali Rabiee, Hooshang Jazayeri-Rad and Mohamad Ali Takassi “Nonlinear Model Predictive Control of a Continuous Stirred Tank Heater based on Multiple Neural Networks” Journal of Basic and Applied Scientific Research 3(4)893-900, 2013
  • Kalpesh B. Pathak , Dipak M. Adhyaru ‘Model Reference Adaptive Control of Jacketed STIRRED-TANK Heater’ International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 2, Issue 7, July 2013
  • Vikram Chopra, Sunil K. Singla, Lillie Dewan “Comparative Analysis of Tuning a PID Controller using Intelligent Methods” Journal of Acta Polytechnica Hungarica, Vol. 11, No. 8, 2014
  • Nasser Mohamed Ramli, Mohamad Syafiq Mohamad “Modelling for Temperature Non-Isothermal Continuous Stirred Tank Reactor Using Fuzzy Logic” International Journal of Environmental and Ecological Engineering Vol 11, No:2, 2017

Abstract Views: 200

PDF Views: 3




  • Real Time Implementation of Fuzzy Based PID Controller Tuning for Continuous Stirred Tank Heater (CSTH) Process

Abstract Views: 200  |  PDF Views: 3

Authors

A. V. Divya Priya
Instrumentation Engineering Department, Bannari Amman Institute of Technology, Sathyamangalam, India
G. M. TamilSelvan
Electronics and Instrumentation Engineering Department, Bannari Amman Institute of Technology, Sathyamangalam, India
T. Rajesh
Electronics and Instrumentation Engineering Department, Bannari Amman Institute of Technology, Sathyamangalam, India

Abstract


The controlling of temperature was carried out by Proportional Integral Derivative (PID) controller. It may not provide an exact outcome long history of its practical use. With a specific end goal to get precise and successful response, intelligence is included into the system by utilizing Fuzzy Logic Controller (FLC). FLC which helps in keeping up the temperature in a CSTH process has been created and applied to different fields. However, FLC can't adjust for extensive variety of workplaces and furthermore there is no deliberate strategy to outline the Membership Function (MFs) for information sources and yields of a fuzzy framework. So FLC algorithm is utilized to change the controller parameters consequently amid task procedure of a system and controller is utilized to reduce the error. This method is applied in a Continuous Stirred tank Heater (CSTH) process. The real time CSTH plant is interface with LabVIEW with NI data acquisition card real time results demonstrate that FLC strategy is viable for utilizing temperature control with minimum Integral Square Error (ISE), minimum rise time, minimum peak over shoot and minimum settling time.


Keywords


Fuzzy Logic Controller, Proportional Integral Derivative.

References