Active disturbance rejection regulation control of LLC resonant converter based on golden jackal optimization algorithm
LLC resonant converter has poor ability to suppress the load impact when the traditional PID control is adopted.To address the issue, this paper proposes an improved linear active disturbance rejection control method based on golden jackal optimization algorithm.The method improves the coefficient matrix of the extended state observer based on the state space expression with the integrated parameter information of the reduced order model.The frequency domain fitting method is employed to obtain the initial parameters of the linear active disturbance rejection controller, avoiding the complicated manual parameter adjustment process.The golden jackal optimization algorithm is employed to optimize the parameters of the linear active disturbance rejection controller to further improve the performance of the controller.Our experimental results show compared with the PSO-PID controller, the GJO-MLADRC controller effectively addresses the poor dynamic performance of the LLC resonant converter under the condition of large system disturbance.On condition of a sudden load increase or decrease, the adjustment time is cut down by 1.5 ms and 1ms respectively.The maximum wave momentum of the output voltage is reduced by 0.1 V and 0.05 V respectively.The improved LADRC control strategy effectively suppresses the disturbance of the output voltage caused by load fluctuations in the constant voltage mode.