“…Therefore, modification in procedures are shifting toward the soft computing method. There are a lot of soft computing techniques used to tune the gains and time constant of the PI or PID controller (Stojic et al, 2017). Some examples are simplex algorithm (Gole et al, 2003;Zhao et al, 2007), linear programing based tuning (Oliveira et al, 2014), Modified Genetic Algorithm (Y. P. Wang et al, 2002), offline tuning of discrete-time fractional-order to minimize the cost function (Merrikh-Bayat et al, 2015), Hybrid PID-Artificial Neural Network (ANN) controller to control PWM signal for DC to DC conversion (Muruganandam and Madheswaran, 2013), fuzzy logic algorithm (Sahin and Altas, 2017;Ilyas et al, 2013;Kassem, 2013), State Transition Algorithm (STA) (Saravanakumar et al, 2015), Particle Swarm Optimization (PSO) (Aazim et al, 2017;Rajagopal and Ponnusamy, 2014), etc.…”