Implementation of fuzzy control for a nonlinear system - Conical level process

K. Ashutha; Eadala Sarath Yadav; Thirunavukkarasu Indiran; C. Shreesha

doi:10.1109/ICITEED.2017.8250455

Implementation of fuzzy control for a nonlinear system - Conical level process

K. Ashutha
, Eadala Sarath Yadav
, Thirunavukkarasu Indiran^*
, C. Shreesha

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Fuzzy logic is the trending control strategy and ideal in its performance to the real world of control. It has been implemented in most of the control fields because of its expertise in fault tolerance, knowledge representation, nonlinearity, uncertainty, real time operation etc. In this paper mamdani type of fuzzy controller is considered for controlling nonlinear conical tank process. The identification of conical tank system is performed by two point method and fuzzy controller is implemented. The results of fuzzy controller is compared with AMIGO (Approximate M constrained Integral Gain Optimization) and conventional controllers for evaluating its performance indices like IAE, ITAE and ISE using MATLAB simulation environment and real time experimentation was also carried out. It is also observed that the fuzzy controllers perform better than that of AMIGO PI and conventional PI controller.

Original language	English
Title of host publication	2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
Volume	2018-January
ISBN (Electronic)	9781509064779
DOIs	https://doi.org/10.1109/ICITEED.2017.8250455
Publication status	Published - 01-07-2017
Event	9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017 - Phuket, Thailand Duration: 12-10-2017 → 13-10-2017

Conference

Conference	9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017
Country/Territory	Thailand
City	Phuket
Period	12-10-17 → 13-10-17

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Control and Optimization
Computer Science Applications
Computer Vision and Pattern Recognition

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10.1109/ICITEED.2017.8250455

Cite this

Ashutha, K., Yadav, E. S., Indiran, T., & Shreesha, C. (2017). Implementation of fuzzy control for a nonlinear system - Conical level process. In 2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017 (Vol. 2018-January, pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICITEED.2017.8250455

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abstract = "Fuzzy logic is the trending control strategy and ideal in its performance to the real world of control. It has been implemented in most of the control fields because of its expertise in fault tolerance, knowledge representation, nonlinearity, uncertainty, real time operation etc. In this paper mamdani type of fuzzy controller is considered for controlling nonlinear conical tank process. The identification of conical tank system is performed by two point method and fuzzy controller is implemented. The results of fuzzy controller is compared with AMIGO (Approximate M constrained Integral Gain Optimization) and conventional controllers for evaluating its performance indices like IAE, ITAE and ISE using MATLAB simulation environment and real time experimentation was also carried out. It is also observed that the fuzzy controllers perform better than that of AMIGO PI and conventional PI controller.",

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Ashutha, K, Yadav, ES, Indiran, T & Shreesha, C 2017, Implementation of fuzzy control for a nonlinear system - Conical level process. in 2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017, Phuket, Thailand, 12-10-17. https://doi.org/10.1109/ICITEED.2017.8250455

Implementation of fuzzy control for a nonlinear system - Conical level process. / Ashutha, K.; Yadav, Eadala Sarath; Indiran, Thirunavukkarasu et al.
2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Implementation of fuzzy control for a nonlinear system - Conical level process

AU - Ashutha, K.

AU - Yadav, Eadala Sarath

AU - Indiran, Thirunavukkarasu

AU - Shreesha, C.

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AB - Fuzzy logic is the trending control strategy and ideal in its performance to the real world of control. It has been implemented in most of the control fields because of its expertise in fault tolerance, knowledge representation, nonlinearity, uncertainty, real time operation etc. In this paper mamdani type of fuzzy controller is considered for controlling nonlinear conical tank process. The identification of conical tank system is performed by two point method and fuzzy controller is implemented. The results of fuzzy controller is compared with AMIGO (Approximate M constrained Integral Gain Optimization) and conventional controllers for evaluating its performance indices like IAE, ITAE and ISE using MATLAB simulation environment and real time experimentation was also carried out. It is also observed that the fuzzy controllers perform better than that of AMIGO PI and conventional PI controller.

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M3 - Conference contribution

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BT - 2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Implementation of fuzzy control for a nonlinear system - Conical level process

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