Design Algorithm and Performance Analysis of Conventional and Fuzzy Controller for Maintaining the Cane Level during Sugar Making Process

Misra, Yogesh; Kamath, H. Ravishankar

doi:10.5815/ijisa.2015.01.08

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…In [17] FLC with GA optimized MFs widths and ScFs is applied to both -water/steam temperature and water level control in a fire tube boiler and the system performance improved compared with the FLC system. In [18] the merits of a FLC with respect to a conventional controller are outlined in maintaining a desired cane level in chute during juice extraction at different references.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Intelligent Approaches to Real Time Level Control

Yordanova

2015

IJISA

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Liquid level control is important for ensuring energy and material balance in many installations but it also difficult as the plant is nonlinear, inertial and with model uncertainties. Fuzzy logic controllers (FLCs) are successfully applied to ensure system stability and robustness by simple means and a model-free design. This paper suggests a procedure for off-line tuning of the many FLC parameters based on optimization of a suggested multi-objective function defined on several system performance indices using genetic algorithms (GAs). First, a model-free FLC is empirically tuned, then applied for real time control of the plant and the necessary data recorded and used to GA parameter optimize a TSK plant model of an accepted structure. The validated on different set of experimental data model is employed in FLC closed loop system simulation experiments to evaluate the fitness function in the GA optimization of the FLC pre-processing and postprocessing parameters. The procedure is applied for the real time PI/PID FLC level control in a laboratory-scale tank system. The improvement of the system performance indices due to the GA optimization is estimated in level real time control.

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Section: Introduction and Related Workmentioning

confidence: 99%

Intelligent Approaches to Real Time Level Control

Yordanova

2015

IJISA

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Mathematical Model of Heat Exchange for Non-stationary Mode of Water Heater

Голінко

Galytska

2019

Advances in Computer Science for Engineering and Education II

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Comparison and analysis of defuzzification methods of a fuzzy controller to maintain the cane level during cane juice extraction

Vyas

Misra

Kamath³

2015

2015 International Conference on Signal Processing and Communication Engineering Systems

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Implementation of Fuzzy Logic in sugar industry will provide a new method to overcome various problems and increase the overall efficiency of sugar industries. The fuzzification, rule base and defuzzification are the key elements of a fuzzy system. Apart from fuzzification and defining rule there are numerous ways of defuzzification. This paper deals with the analysis and a comparative study of different deffuzification methods used for a three input fuzzy controller. The fuzzy controller developed and simulated for different deffuzification method by using Fuzzy Tool Box provided by MATLAB version 7.7 (R2008b).

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Design Algorithm and Performance Analysis of Conventional and Fuzzy Controller for Maintaining the Cane Level during Sugar Making Process

Cited by 3 publications

References 4 publications

Intelligent Approaches to Real Time Level Control

Intelligent Approaches to Real Time Level Control

Mathematical Model of Heat Exchange for Non-stationary Mode of Water Heater

Comparison and analysis of defuzzification methods of a fuzzy controller to maintain the cane level during cane juice extraction

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