A Particle Swarm Optimization Approach for Sliding Mode Control of Electromechanical Valve Actuator in Camless Internal Combustion Engines

The performance of internal combustion engines can be improved using the camless structure. Replacing the crankshaft by a camless actuation technology leads to improvement in torque and power performance, fuel efficiency and pollutant emissions. In this paper, the control of an electromechanical valve actuator of camless engine is considered. Tracking the desired trajectory, achieving a soft landing, having a small transient time for opening and closing the valve and attenuating the disturbances are the main challenges in the control of this system. In this paper, sliding mode control is presented for dealing with all these issues. Moreover, to optimize the system response, the concept of sliding-mode control is incorporated into particle swarm optimization. The simulation results indicate the sliding mode controller variables tuned through a particle swarm optimization algorithm has a good performance in the realization of desired goals of the system and attenuation of the disturbance.