Simultaneous optimization of tuning PID cascade control system using Duelist Algorithms

In this research, Proportional-Integral-Derivative (PID) controller was integrated into the advanced control system to achieve an optimal performance. One type of advanced control system is cascade control. In conventional cascade control, controller parameters in primary and secondary loops are tuned sequentially. First, the parameters in secondary controller are tuned using certain tuning rule, meanwhile the primary loop in the open loop mode. Furthermore, the controller parameters in primary loop are tuned by considering the influence of the controlled secondary loop. This makes the tuning of PID cascade control more difficult and takes more time consuming. This paper describes a method of simultaneous tuning cascade control system using Duelist Algorithm (DA) to estimate the proper control parameters of the primary and the secondary loops. The analysis was conducted based on the evaluation of the closed-loop response to a step set point changes. The results show that the proposed method has better control performance than the previous method. PID auto tuning using DA provide more robust performance of the control system.