Designing of Multi-objective Simulated Annealing Algorithm tuned PID controller for a temperature control system

In spite of new advanced control techniques have been developed, Proportional-Integral-Derivative (PID) controllers are still popular in industrial control systems. But tuning of parameters for these controllers is an important matter of concern. This paper presents an intelligent approach to tune PID parameters using Multi-objective Simulated Annealing Algorithm (MOSA) and the performance of MOSA tuned PID controller is compared with single objective Simulated Annealing Algorithm (SA) tuned PID as well as with the conventionally tuned PID controller. Performance analysis for indexes like ISE, IAE and IATE is also observed. Here, the aim is to show the flexibility in PID tuning using MOSA. To show the effectiveness of the proposed method, simulation results on a temperature control system are analyzed and compared with another very popular intelligent technique of PID tuning which is Multi-objective Genetic Algorithm (MOGA).