Enhanced conventional PID controller for temperature control in woody gasifier using searching algorithms

Abstract

This paper focused on the design of improved Proportional Integral and Derivative (PID) controller in terms of optimum parameters of PID by introducing various searching algorithms. This developed controller is used to control the temperature of the downdraft biomass gasifier. Now days the PID controllers are widely used in many industrial applications due to its simplified design procedures. Though, the key issue in PID controller design involved in the optimization of optimal PID parameters for ideal system performance. In this work the Particle Swarm Optimization (PSO) and the ANFIS based algorithm were used to obtain the PID parameters for the temperature control of downdraft biomass gasifier. The results of the simulation are obtained and it was observed that the optimized ANFIS PID controller is able to improve the performance of the closed-loop system compared to the Ziegler-Nichols tuning method, and PSO techniques with respect to the transient responses and performance indices.