摘要:AbstractDesigning a suitable controller for a nonlinear and unstable plant is always very challenging to the control system practitioners. In this article, Integral - Proportional Derivative (I-PD) controller has been designed and implemented in simulation and real time for the Magnetic levitation (Maglev) system which is both nonlinear and unstable in nature. The nonlinear Maglev plant has been linearized around the equilibrium point to obtain the linearized model transfer function. The objective function, which has been formulated by taking the modulus of the characteristic polynomial of the plant along with the controller at dominant pole location, has been minimized using the recently evolved Jaya algorithm. The performance of the I-PD controller has been compared with that of the 1-DOF and 2-DOF Integer Order (IO) and Fractional Order (FO) PID controller (Swain et al., 2017). The result of comparison reveals that the I-PD controller optimized using Jaya algorithm outperforms the other controllers in terms of time domain and frequency domain specifications except the phase margin criteria. The robustness analysis has also been incorporated in this study to show the robust behaviour of the I-PD controller.