parallel to serial conversion simulink pid

The PID 2DOF problem for the stabilization of the velocity dynamics of the hybrid vehicle are formulated as a constrained optimization problem and solved thanks to improved PSO algorithms. This paper deals with the systematic design of a PID regulators with two degree of freedom 2DOF for a Hybrid vehicle Driving cycle based on different variants of the Particle Swarm Optimization (PSO) algorithm. Demonstrative simulation results are presented, compared and discussed in order to improve the effectiveness of the proposed PSO-based 2 DOF controllers for the hybrid Vehicle velocity stabilization. All optimized 2DOF PID controllers are then simulated within a Matlab Simulink. Such variants of the PSO algorithm aim to further improve the exploration and exploitation capabilities of such a stochastic algorithm as well as its convergence fastness. Both PSO algorithm with variable inertia weight (PSO-In), PSO with Constriction factor (PSO-Co), PSO with possibility updating strategies (PSO-gbest) are proposed. This paper deals with the systematic design of a PID regulators with two degree of freedom 2DOF for a Hybrid vehicle driving cycle based on different variants of the Particle Swarm Optimization (PSO) algorithm.

Furthermore, the control action of the approach is less affected by undesired oscillations and derivative kick effect thereby extending the life of actuator.

Hence, the approach has better set-point tracking ability and disturbance rejection capability. From the real-time experimental results obtained, the proposed approach outperforms PID, fractional-order PID and 2DOF-PID controllers in terms of overshoot and settling time. The controller has the advantages of improving set-point tracking and disturbance rejection performance through smoother control action over the conventional PID. Furthermore, the controller parameters are obtained experimentally using Ziegler–Nichols and closed-loop set-point approaches. Therefore, this paper proposes the two-degree-of-freedom fractional-order PID (2DOF–FOPID) controller for real-time control of pressure process in both parallel and series configurations. However, its performance degrades during set-point change and high external disturbances due to high sensitivity and nonlinearity of the pressure plant. This is due to the PID’s advantages of simple structure, ease of tuning and implementation. PID controllers being the most employed for industrial applications have the potential for control of such processes. Control of real-time pressure process is quite challenging due to high nonlinearity and sensitivity.

Parallel to serial conversion simulink pid