Performance Analysis of Moth Flame Optimization-Based Split-Range PID Controller
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ORIGINAL ARTICLE
Performance Analysis of Moth Flame Optimization-Based Split-Range PID Controller V. Vishnoi* , S. Tiwari and R. Singla Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India Received: 20 February 2020 / Accepted: 22 May 2020 Metrology Society of India 2020
Abstract: This article presents a nature-inspired optimization technique, namely the moth flame optimization (MFO) algorithm, for tuning the PID controller parameters in the variable range of split-range control scheme to regulate the temperature of the mixing process. Further, the performance of the controller using Ziegler–Nichols (Z–N) tuning method and MFO algorithm is compared for the same. In this study, the controller parameters are tuned using both the methods for various temperature setpoints, and the performance of the controller for the individual temperature setpoints is analyzed in terms of settling time and demand of utilities. Investigations are conducted on the basis of the effect of dead time in the valve and the effect of process disturbance. The performance of the controller is also investigated on the basis of utility consumption using a valve with no dead time. The results show that MFO-based tuning approach provides a significant improvement as compared to Z–N tuning method. Keywords: Temperature control; Split-range control; Moth flame optimization 1. Introduction Process engineers usually face the issue of choice of controllers for various control loops. The design and implementation of the controller play a key role in process control. Because of its low-cost layout and simplicity, PID mode is the most commonly used mode [1, 2]. However, it suffers from the inherent issues of disturbance rejection, process-related dead time, and instability. To enhance the performance of the PID controller, split-range approach was introduced [3]. This approach involves more than one manipulated variable that has the same effect on controlled output. It is commonly used in process control [4, 5]. Mahitthimahawong et al. [4] presented the use of splitrange control for the heat exchanger system. Mathematical modeling of the heat exchanger system was done in the state-space domain. Results showed that split-range control performance was much better than the conventional PI controller in terms of stability analysis and utility cost. Fonseca et al. [5] used fuzzy-based split-range control strategy for temperature control of fermentation. It was done by manipulating both heating and cooling water flow
*Corresponding author, E-mail: [email protected]
rates. The fuzzy-split control strategy was found to give a better output as compared to PID controller in terms of the integral of time-weighted absolute error criterion (ITAE) index. However, the performance of split-range-based PID (SR-PID) controller depends on the gains that are achieved by its tuning. So, tuning of SR-PID controller parameters is very important. The tuning of controller parameters was done
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