Stability Analysis and Design of Algorithmic Tuned Pid Controller for Bio-reactor

The paper proposes a detailed analysis of various intelligent algorithms for the application of tuning PID controllers for time delayed model with a specific stability analysis on the unstable phase of a Bioreactor system. The tuning process is focused mainly to search the optimal controller parameters (Kp, Ki, Kd) by minimizing the performance criterion and with the help of the objective function. Relative studies on various cost functions like integral of squared error (ISE), integral of absolute error (IAE), integrated time squared error (ITSE), integrated time absolute error (ITAE) have also been performed for the tuned system. The stability analysis for the algorithmic tuned PID controller by Nyquist plot is also performed for the various working phases of the considered bio reactor model. The simulation results show that the proposed tuning approach provides superior results such as smooth set point tracking, error minimization and increased stable response.