Design and performance analysis of a novel vulture based FOPID controller for the nonlinear biological system

Abstract

In recent times, the field of Automatic Control Systems Engineering engaged in regulating large number of biological processes has played a significant role in biological and biotechnology applications. In human body, the very most important biological parameters are pancreas, insulin, glucose and genetic regulatory network (GRN). Any abnormal change in these biological system parameters may leads to occurrence of severe diseases and finally leads to the death of the infected patient. Thus, to tune the biological parameters in the human body, an efficient optimal controller is essential. Hence, a novel hybrid controller called Vulture based Fractional Order Proportional-Integral-Derivative (VbFOPID) controller is designed and implemented in this paper. The designed controller is implemented in MATLAB platform. From the obtained simulation results and its comparisons with the other existing controller's in the literature, it clearly presents that the proposed VbFOPID controller has superior performance over the other optimal PID controller designs in terms of rise time, convergence time, settling time, error percentage and maximum overshoot.

Keywords

• Vulture optimization algorithm
• Fractional order proportional integral derivative controller
• Optimized tuning
• Biological system
• Tuning of biological parameters and PID controllers