Continuous Human Learning Optimization Based Fractional Order PID Controller Design for Twin Rotor Aerodynamic System

In this work conventional PID and fractional order PID (FOPID) controllers are designed for Twin Rotor Aerodynamic System (TRAS). TRAS is a nonlinear and multi input multi output (MIMO) system. The aim of the proposed control scheme is to control the pitch and yaw angles of TRAS so that they can move at desired angles. A metaheuristic optimization technique named as continuous human learning optimization algorithm (CHLO) is adopted to design PID and FOPID controllers. PID and FOPID controllers are applied to coupled and decoupled TRAS. The results obtained through simulation revealed that FOPID controller has superior performance than PID controller. Moreover, the response of FOPID and PID controllers is better for decoupled system whereas for coupled system response of designed controller is poor. The results obtained with CHLO-FOPID controller are also compared with other metaheuristic optimization techniques that are used to design FOPID controller for TRAS.