Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

ISSN : 2395-2717 (Online)

Call For Paper : Vol. 9, Issue 7 2022
Performance Analysis of Conventional PI, PD, PID and Fuzzy Logic Controller using Matlab / Simulink for Industrial Applications

Author : R.Gunasekari 1 Sangamesh Mavur 2 Kishor Kumar.K 3 R. Mallikarjuna Reddy 4 Sharana Basava 5

Date of Publication :7th November 2016

Abstract: Measuring the flow of liquid is a critical need in many industrial plants. The aim of this paper is to do the comparative study of Proportional Integral controller, Proportional Derivative controller, conventional PID controller and fuzzy logic controller for flowing fluids. In this paper, performance analysis of proportional derivative, conventional PID controller and fuzzy logic controller has been done by the use of MATLAB and Simulink and in the end comparison of various time domain parameter is done to prove that the fuzzy logic controller has small overshoot and fast response as compared to PID controller and PD, PI controller. PID controller is the most widely used control strategy in industry. The popularity of PID controller can be attributed partly to their robust performance and partly to their functional simplicity. In this paper, the response of the PID and PD, PI controller is oscillatory which damage the system. But the response of the fuzzy logic controller is free from these dangerous oscillations in transient period. Hence the Fuzzy logic controller is better than the conventionally used PID controller.

Reference :

    1. R. A. Mastromauro, M. Liserre, and A. Dell’Aquila, “Control issues in single-stage photovoltaic systems: MPPT, current and voltage control,” IEEE Trans. Ind. Informat., vol. 8, no. 2, pp. 241–254, May 2012.
    2. C. Liu, K. T. Chau, and X. Zhang, “An efficient wind–photovoltaic hybrid generation system using doubly excited permanent-magnet brushless machine,” IEEE Trans. Ind. Electron., vol. 57, no. 3, pp. 831–839, Mar. 2010
    3. M. P. Kazmierkowski, M. Jasinski, and G. Wrona, “DSP-based control of grid-connected power converters operating under grid distortions,” IEEE Trans. Ind. Informat., vol. 7, no. 2, pp. 204–211, May 2011.
    4. P. Palensky and D. Dietrich, “Demand side management: Demand response, intelligent energy systems, and smart loads,” IEEE Trans. Ind. Informat., vol. 7, no. 3, pp. 381–388, Aug. 2011.
    5.  V. C. Gungor, D. Sahin, T. Kocak, S. Ergut, C. Buccella, C. Cecati, and G. P. Hancke, “Smart grid technologies: Communication technologies and standards,” IEEE Trans. Ind. Informat., vol. 7, no. 4, pp. 529–539, Nov. 2011.
    6. S. Wencong, H. Eichi, Z. Wente, and M.-Y. Chow, “A survey on the electrification of transportation in a smart grid environment,” IEEE Trans. Ind. Informat., vol. 8, no. 1, pp. 1–10, Feb. 2012.
    7. R. Teodorescu, M. Lissere, and P. Rodriguez, Grid Converter for Photovoltaic and Wind Power Systems. New York: Wiley, 2011.
    8. E. Monmasson, L. Idkhajine, M. N. Cirstea, I. Bahri, A. Tisan, and M. W. Naouar, “FPGAs in industrial control applications,” IEEE Trans. Ind. Informat., vol. 7, no. 2, pp. 224–243, May 2011.
    9. L. S Yang and T. J. Liang, “Analysis and implementation of a novel bidirectional DC–DC converter,” IEEE Trans. Ind. Electron., vol. 59, no. 1, pp. 422–434, Jan. 2012.

    1. Rahul Malhotra and Tejbeer Kaur, “DC motor control using fuzzy logic controller,” International journal of advanced engineering sciences and technologies vol no. 8, issue no. 2, 291 – 296.
    2. Philip A. Adewuyi, “DC Motor Speed Control: A Case between PID Controller and Fuzzy Logic Controller,” international journal of multidisciplinary sciences and engineering, vol. 4, no. 4, may 2013.
    3. Zhang Shengyi and Wang Xinming, “Study of Fuzzy-PID Control in MATLAB for Two-phase Hybrid SteppingMotor,” Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13).
    4. Awang N.I. Wardana, “PID-Fuzzy Controller for Grate Cooler in Cement Plant,” IEEE transaction of fuzzy system, no.7, vol. 32, 2005, 1345-1351.
    5.  Farhad Aslam and Gagandeep Kaur, “Comparative Analysis of Conventional, P, PI, PID and Fuzzy Logic Controllers for the Efficient Control of Concentration in CSTR,” International Journal of Computer Applications (0975 – 8887) Volume 17– No.6, March 2011.

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