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Home»Articles»PSO Based Model Reference Adaptive PI Controller for a Conical Tank Level Process

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Asian Journal of Electrical Sciences (AJES)

Editor Dr. Koray Ulgen
Print ISSN : 2249 - 6297
Frequency : Quarterly

PSO Based Model Reference Adaptive PI Controller for a Conical Tank Level Process

Author : R. Raghuraman and M. Senthilkumar
Volume 8 No.2 April-June 2019 pp 29-33

Abstract

Conical tanks are mostly used in various process industries, such as metallurgical industries, food processing industries, concrete mixing industries wastewater treatment industries etc. A conical tank is basically a nonlinear process as its area of cross section varies with respect to level. This paper describes the implementation of PSO based Model Reference Adaptive PI controller for a nonlinear Conical Tank Level System (CTLS). The mathematical model of CTLS is developed and PSO based Model Reference Adaptive (MRA) PI Controller is proposed for this level system. A result of proposed controller is compared with GA based MRA-PI, MRA-PI and conventional PI controllers to analyze the performance in terms of integral square error and Integral absolute error. The results proved that the superiority of proposed controller.

Keywords

Conical Tank, PI Controller, MRAC, PSO

Full Text:

References

[1] Hans Butler, Ger Honderd and Job van Amerongen, “Model Reference Adaptive Control of a Direct-Drive DC Motor” IEEE Control Systems Magazine, Vol. 9, No. 1, pp. 80-84, Jan.1989.

[2] S. Vichai, S. Hirai, M. Komura and S. Kuroki, “Hybrid Control-based Model Reference Adaptive Control” lektronika Ir Elektrotechnika, Nr. Vol. 3, No. 59, pp. 5-8, 2005.

[3] R. Chandkishor and O. Gupta, “Speed control of DC drives using MRAC technique”, in Proc. 2nd International Conference on Mechanical and Electrical Technology (ICMET), pp. 135, Sep 2010.

[4] Missula Jagath Vallabhai, Pankaj Swarnkar and D. M. Deshpande, “Comparative Analysis Of PI Control and Model Reference Adaptive Control based Vector Control Strategy For Induction Motor Drive”, IJERA, Vol. 2, No. 3, pp. 2059-2070, Jun. 2012.

[5] Ayachi errachdi and Mohamed benrejeb, “Model Reference Adaptive Control based-on Neural Networks for Nonlinear time-varying System”, in Proc. International Conference on Systems, Control and Informatics, pp.73, 2013.

[6] James Kennedy, Particle swarm optimization, Encyclopedia of machine learning, US: Springer, pp.760-766, 2011.

[7] D. Mercyl and S. M. Girirajkumar, “Design of PSO-PID Controller for a Nonlinear Conical Tank Process Used In Chemical Industries.” ARPN Journal of Engineering and Applied Sciences, Vol.11, No. 2, pp. 1147-1153, 2016.

[8] B. Nagaraj and N. Murugananth, “A comparative study of PID controller tuning using GA, EP, PSO and ACO”, in Proc. of the IEEE International Conference on Communication Control and Computing Technologies (ICCCCT ’10), pp. 305, Oct 2010

[9] M. Irshad and A. Ahmad, “Optimal tuning rules for PI/PID controllers for inverse response processes”, Applied soft Computing, Vol. 51, No. 1, pp. 413- 418, 2018.

[10] Marini, Federico and Beata Walczak, “Particle swarm optimization (PSO)-A tutorial”, Chemometrics and Intelligent Laboratory Systems, Vol. 149, pp.153-165, 2015.

Asian Journal of Electrical Sciences (AJES) is a quarterly international peer-reviewed journal of Electrical Sciences. One of the objectives of this journal is to disseminate knowledge on various research issues connected with the topics include, but are not limited to:

Telecommunications – transmission of information, coax cable, optical fiber or free space, amplitude modulation and frequency modulation, transmitters and receivers, transceiver.
Instrumentation – pressure, flow and temperature, electromagnetic theory, thermocouples, sensors of larger electrical systems, control engineering.
Computers – Computers and computer systems, hardware, software, software engineering.

Power engineering – generation, transmission and distribution of electricity, transformers, electric generators, electric motors, high voltage engineering and power electronics.
Control engineering – dynamic systems, design of controllers, electrical circuits, digital signal processors, microcontrollers and PLCs (Programmable Logic Controllers), industrial automation. Electronic Engineering -Electronic circuits, resistors, capacitors, inductors, diodes and transistors, radio engineering, radar, television, audio systems, computers and microprocessors.
Microelectronics – Electronic circuit, integrated circuit, semiconductor transistors, resistors, capacitors, inductors, Nanoelectronics.

Signal processing – signals, analog, digital, telecommunications, Digital Signal Processing, SDTV | HDTV sets, radios and mobile communication devices, Hi-Fi audio equipments, Dolby noise reduction algorithms, GSM mobile phones, mp3 multimedia players, camcorders and digital cameras, automobile control systems, noise cancelling headphones, digital spectrum analyzers, intelligent missile guidance, radar, GPS based cruise control systems, image processing, video processing, audio processing and speech processing systems.

Conical tanks are mostly used in various process industries, such as metallurgical industries, food processing industries, concrete mixing industries wastewater treatment industries etc. A conical tank is basically a nonlinear process as its area of cross section varies with respect to level. This paper describes the implementation of PSO based Model Reference Adaptive PI controller for a nonlinear Conical Tank Level System (CTLS). The mathematical model of CTLS is developed and PSO based Model Reference Adaptive (MRA) PI Controller is proposed for this level system. A result of proposed controller is compared with GA based MRA-PI, MRA-PI and conventional PI controllers to analyze the performance in terms of integral square error and Integral absolute error. The results proved that the superiority of proposed controller.

Editor-in-Chief
Dr. Koray Ulgen
Department of energy engineering, Ege University, Turkey
[email protected]
Editorial Advisory Board
Dr. Rasyidah Binti Mohamad Idris
Department of Electrical Power Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Norhaliza Abdul Wahab
Department of Control & Mechatronics Engineering, Universiti Teknologi Malaysia
[email protected]
Prof. Md Irfan Ahmed
Department of Electrical Engineering, Career Point University, Rajasthan, India
[email protected]
Dr. Sallehuddin Bin Ibrahim
Department of Control And Mechatronics Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Naziha bt. Ahmad Azli
Department of Electrical Power Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Sharul Kamal Bin Abdul Rahim
Department of Communication Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Jasrul Jamani Bin Jamian
Department of Electrical Power Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. T. Rajesh
Department of EEE, INFO Institute of Engineering, Coimbatore, India
[email protected]
Dr. Mohamad Kamal B. A. Rahim
Department of Communication Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Sophan Wahyudi Bin Nawawi
Department of Control and Mechatronics Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Nor Hisham Haji Khamis
Department of Communication Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Cheng Siong Lim
Department of Control and Mechatronic Engineering,Universiti Teknologi Malaysia
[email protected]
Dr. Sharifah Kamilah Bt Syed Yusof
Department of Electrical Engineering Universiti Teknologi Malaysia
[email protected]
Dr. Shahdan Sudin
Department of Control and Mechatronic Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Razali Bin Ngah
Department of Electrical Engineering, Universiti Teknologi Malaysia
[email protected]

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    Editorial Note

    Editorial Dr. Koray Ulgen

    Editor-in-Chief
    Dr. Koray Ulgen
    Department of energy engineering, Ege University, Turkey
    [email protected]
    Editorial Advisory Board
    Dr. Rasyidah Binti Mohamad Idris
    Department of Electrical Power Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Norhaliza Abdul Wahab
    Department of Control & Mechatronics Engineering, Universiti Teknologi Malaysia
    [email protected]
    Prof. Md Irfan Ahmed
    Department of Electrical Engineering, Career Point University, Rajasthan, India
    [email protected]
    Dr. Sallehuddin Bin Ibrahim
    Department of Control And Mechatronics Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Naziha bt. Ahmad Azli
    Department of Electrical Power Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Sharul Kamal Bin Abdul Rahim
    Department of Communication Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Jasrul Jamani Bin Jamian
    Department of Electrical Power Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. T. Rajesh
    Department of EEE, INFO Institute of Engineering, Coimbatore, India
    [email protected]
    Dr. Mohamad Kamal B. A. Rahim
    Department of Communication Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Sophan Wahyudi Bin Nawawi
    Department of Control and Mechatronics Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Nor Hisham Haji Khamis
    Department of Communication Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Cheng Siong Lim
    Department of Control and Mechatronic Engineering,Universiti Teknologi Malaysia
    [email protected]
    Dr. Sharifah Kamilah Bt Syed Yusof
    Department of Electrical Engineering Universiti Teknologi Malaysia
    [email protected]
    Dr. Shahdan Sudin
    Department of Control and Mechatronic Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Razali Bin Ngah
    Department of Electrical Engineering, Universiti Teknologi Malaysia
    [email protected]

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