Application of particle swarm optimization technique in seating velocity control of electromagnetic valve actuator

The electro-magnetic valve actuation improves the performance of an internal combustion engine. In this work, the control of electro-magnetic valve actuation (EMVA) is considered. The control of valve seating velocity, rise and settling time of valve with minimum peak overshoot for a certain valve lift position are the main challenges. The proposed work is based on proportional-integral-derivative (PID) controller with particle swarm optimization (PSO) to overcome the issues. The PID controller’s parameters were first obtained using Ziegler-Nichols method and then further optimized with multi-objective PSO technique. The simulation results indicate that the proposed multi-objective PSO-based PID controller can achieve justifiable seating velocity with faster valve operation for both forward and return strokes. The weighted sum approach was applied on the multi-objective PSO, and effect of varying weights on performance was also studied. The valve list profiles of particle swarm optimization were compared with Ziegler-Nichols based PID controller and a better performance was achieved using the proposed control technique.