Online PSO-tuned phase shift angle controller for dual active bridge DC–DC converter

Abstract

The deep concern towards efficient and green energy has brought to the development of intermediate energy storage system. Electric vehicles (EVs), for example, is an application where the energy storage devices are vital. In EV, the bidirectional DC-DC converter is high in demand due to its nature EV of having two or more separate DC sources. A recent technology called the dual active bridge (DAB) converter has quickly become popular in DC-DC converter thanks to its inherent galvanic isolation via a high-frequency transformer. Furthermore, DAB topology allows for high-efficiency conversion and soft switching adaption. This paper presents the optimization of the phase shift angle controller of DAB using Particle Swarm Optimization (PSO). From the preliminary study, it was found out that the optimization performs well until there are abrupt changes in the system. The system is not able to respond to the reference voltage step change as the traditional one-time execution PSO have local optima entrapped in react to the changes. The paper proposes a reset function to allow PSO to identify that its current optimized value is not optimal anymore. This drives PSO to look for a new optimal value to improve DAB's overall dynamic performance. Simulation of the modified PSO is done on a 200 kW DAB system with 20 kHz switching frequency is developed in MATLAB/Simulink environment. Simulation has been carried out with the objective to minimize the steady-state error as well as to improve the dynamic performance of the DAB. The DAB performance with the proposed solution is evaluated in terms of steady-state error and transient response by testing the system under various reference voltage and step-change input voltage. The self-excited re-exploration PSO also have been presented as to respond to the reference voltage step change as the basic PSO have local optima entrapped in react to the changes. In order to validate the simulation results, a hardware-in-the-loop (HIL) experimental circuit is built in Typhoon HIL-402 to verify the dynamic response and the steady state performance of the system.

Stable Operation Limits in Dual Active Bridge for SuperCapacitor Applications

“…Stability and power transfer analysis of DAB are presented [18][19][20]. Ghani et al [21] employed an online particle swarm technique to optimize the DAB phase-shift angle; for a bi-directional dc-dc converter, a current-limit control scheme is presented. The presented scheme aimed to prevent the converter from becoming unstable.…”

Research on a Self-Coupling PID Control Strategy for a ZVS Phase-Shift Full-Bridge Converter

“…e PI control strategy optimized by the genetic algorithm proposed in [6,7] can not only optimize the parameters but also track the changes of the system parameters, modify the parameters accordingly, and maintain the good performance of the system in a bad environment. e PSO-SA hybrid optimization algorithm presented in [8,9] combines the advantages of the two single algorithms and achieves a good control effect. But, this kind of control has a common disadvantage, which is that the control system is stabilized by optimizing a PID gain value through an intelligent algorithm, although the contradiction between the rapidity and overshoot of the PID control system is solved to some extent; however, the reason for the poor robustness of the PID gain is not that the parameters of the gain are not accurate enough.…”