Control of Third Order Processes Using Optimized Synthesis PI Controller

  • Authors

    • G Suganya
    • E Govinda Kumar
    2018-04-25
    https://doi.org/10.14419/ijet.v7i2.24.12031
  • PI Controllers, Ziegler-Nichols Method, Direct Synthesis Method, Third Order Process, Genetic Algorithm, Optimized Controller

  • Abstract

     In closed loop system with PI controller, the most and severe problem is peak overshoot minimization in the closed loop response and tuning the proportional plus integral (PI) controller parameters. This paper deals with the two different tuning methods for obtain the PI controller settings. These methods are used to tune the parameters of PI controller and the closed loop performances of two methods are analyzed for the control of third order processes. From the closed loop responses, the time responses are move to unstable characteristics and the process variables are oscillates due to PI parameters are tuned using Ziegler-Nichols method and direct synthesis method respectively. The control loop performance of the control of third order process is improved with optimized parameters of PI controller. In direct synthesis method, the variable parameter of PI controller is obtained with Genetic algorithm. The controller parameter of PI controller is obtained from optimized variable parameters and results are reveals that the performance of closed loop is enhanced with the elimination of peak overshoot and minimization of oscillation levels in the process variables. Simulation results are confirmation that the proposed design method is better to the Ziegler-Nichols method and direct synthesis method. Furthermore, the proposed method was applied to the control of two different categories of third order processes.

     

     

  • References

    1. [1] Ramon Vilanova, Antonio Visioli, The Proportional-Integral-Derivative (PID) Controller, Wiley Encyclopedia of Electrical and Electronics Engineering, John Wiley and sons, 2017.

      [2] J.G. Ziegler, N.B. Nichols, Optimum settings for automatic controllers, Transactions of the ASME, Vol.64, 1942, pp.759–768.

      [3] Cheng Zhao, Lei Guo, PID controller design for second order nonlinear uncertain systems, Science China Information Sciences, Springer, 2017.

      [4] Hisatoshi Katsumata, Keiji Konishi, and Naoyuki Hara, Proportional-integral control of propagating wave segments in excitable media, Physical Review E, Vol. 95, 2017, pp. 042216 (1-7).

      [5] Y. Eremenko, A. Glushchenko, V. Petrov, On PI-controller parameters adjustment for rolling mill drive current loop using neural tuner, Procedia Computer Science, Vol.103, 2017, pp. 355 – 362.

      [6] Dan Chen, Dale E. Seborg, PI/PID Controller Design Based on Direct Synthesis and Disturbance Rejection, Indian Engineering Chemistry Research, vol. 41, no. 19, 2002, pp. 4807-4822.

      [7] Jyh-ChengJeng, A model-free direct synthesis method for PI/PID controller design based on disturbance rejection, Chemometrics and Intelligent Laboratory Systems, Vol.147, 2015, pp. 14-29.

      [8] Naresh Kumari, Nitin Malik, A. N. Jha, Gaddam Mallesham, Design of PI Controller for Automatic Generation Control of Multi Area Interconnected Power System using Bacterial Foraging Optimization, International Journal of Engineering & Technolgy, Vol. 8, No. 6, 2016, pp.2779-2786.

      [9] E. Govinda Kumar, E. Gowthaman, Cascade PID-Lead Compensator Controller for Non-overshoot Time, Energy Procedia, Vol. 117, 2017, pp.708–715.

      [10] E. Govinda Kumar, B. Mithunchakravarthi and N. Dhivya, Enhancement of PID Controller Performance for a Quadruple Tank Process with Minimum and Non-Minimum Phase Behaviors, Procedia Technology, Vol. 14, 2014, pp. 480-489.

      [11] R. Kumar*, S.K. Singla, V. Chopra, Comparison among some well-known control scheme with different tuning methods, Journal of Applied Research and Technology, 2015, pp.409-415

      [12] Omar M. Sallabi, Younis El-Hadded, An Improved Genetic Algorithm to Solve the Traveling Salesman Problem, World Academy of Science, Engineering and Technology, Vol.3, No.4, 2009, pp. 984-987.

      [13] S.V. Manikanthan , T. Padmapriya “An enhanced distributed evolved node-b architecture in 5G tele-communications network†International Journal of Engineering & Technology (UAE), Vol 7 Issues No (2.8) (2018) 248-254.March2018

      [14] S.V.Manikanthan and V.Rama“Optimal Performance of Key Predistribution Protocol In Wireless Sensor Networks†International Innovative Research Journal of Engineering and Technology ,ISSN NO: 2456-1983,Vol-2,Issue –Special –March 2017.

      [15] T.Padmapriya, Ms. N. Dhivya, Ms U. Udhayamathi, “Minimizing Communication Cost In Wireless Sensor Networks To Avoid Packet Retransmissionâ€, International Innovative Research Journal of Engineering and Technology, Vol. 2, Special Issue, pp. 38-42.

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  • How to Cite

    Suganya, G., & Govinda Kumar, E. (2018). Control of Third Order Processes Using Optimized Synthesis PI Controller. International Journal of Engineering & Technology, 7(2.24), 200-204. https://doi.org/10.14419/ijet.v7i2.24.12031

    Received date: 2018-04-24

    Accepted date: 2018-04-24

    Published date: 2018-04-25