Title: Two-degree of freedom PID controller in time delay system using hybrid controller model

Authors: Ganesan Kannan; G. Saravanakumar; M. Saraswathi

Addresses: Department of Electronics and Instrumentation Engineering, Madha Engineering College, Chennai, India ' Department of Instrumentation and Control Engineering, Tamilnadu College of Engineering, Coimbatore, Tamilnadu, India ' Department of ECE, Sri Muthukumaran Institute of Technology, Chennai, Tamilnadu, India

Abstract: In the paper, a hybrid method based two-degree of freedom (2-DOF) PID controller is proposed for tuning the time delay system. The hybrid technique is the combination of fuzzy logic controller (FLC) and gravitational search algorithm (GSA). Here, the GSA is utilised for generating the logic rules of FLC. The 2-DOF proportional integral and derivative (PID) controller ensures highly efficient disturbance rejection and reliable performance. Here, tuning of a 2-DOF PID controller with a time delay system design achieves a high performance for a wide range. For the automatic tuning process, the parameters of time delays system is predicted and tuned optimally in the short period of time. The first order time delay system is tuned and the stability parameters such as small overshoot, settling time and rising time has been achieved. From the results, it is noted that, proposed controller provides enhanced results for the reference tracking and disturbance rejection operations. The effectiveness and feasibility of the proposed technique is demonstrated through the MATLAB/Simulink platform and the performance is tested and compared with the existing controller tuning methods such as FLC technique with genetic algorithm (GA) and artificial neural network (ANN) techniques.

Keywords: fuzzy logic controller; FLC; 2-DOF PID controller; gravitational search algorithm; GSA; ANN and time delay system.

DOI: 10.1504/IJAAC.2018.092852

International Journal of Automation and Control, 2018 Vol.12 No.3, pp.399 - 426

Received: 08 Dec 2016
Accepted: 11 Mar 2017
Published online: 01 Jul 2018 *

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