Optimization controller design of CACZVS three phase PFC converter using particle swarm optimization

The compound active clamp soft switching three-phase power factor correction converter, as an improved three-phase PWM converter topology, has the advantages of high efficiency, high power factor, soft switching of all switches and so on. Its traditional control system configuration is the double closed loop control scheme with the current loop as inner loop and the voltage loop as outer loop. As a multivariable and strong coupling nonlinear system, the controller design of the three phase PWM converter, either the classical PID control method or the nonlinear control method, involves the time consuming controller parameters tuning problem. It is even worse that the improperly adjusted controller parameters might damage the system. In this paper, the particle swarm optimization is proposed to optimize the control parameters of the double closed loop PI controllers. To deal with this multi-parameter multi-objective optimization problem, we combine the PSO algorithm with the Pareto optimal solution theory to optimize the PI control parameters. The concrete steps are explained in this paper, and the effectiveness of proposed optimization method is verified by both the simulation and experiment results.