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针对一类变结构非线性时变系统,研究了DC-DC变换器的自适应控制算法。以Buck变换器为研究对象,在它平均状态模型的基础上,使用强跟踪滤波器在线估计出变换器的参数,实时更新广义一般模型控制的模型参数以补偿时变参数的影响,由此实现DC-DC变换器的自适应广义一般模型控制。仿真结果表明,当输入电压、负载、参考电压或变换器其他参数发生变化时,采用自适应控制的DC-DC变换器仍然具有良好的鲁棒性和控制性能。最大超调量为3.73%,稳态误差为0,V_(out)、i_L和R的真值和估计值相对误差的均值分别为0.18%、2.64%和2.78%。
Aiming at a class of variable structure nonlinear time-varying systems, the adaptive control algorithm of DC-DC converter is studied. Taking the Buck converter as the research object, on the basis of its average state model, the parameters of the converter are estimated online using the strong tracking filter, and the model parameters of the generalized general model control are updated in real time to compensate for the influence of the time-varying parameters Adaptive Generalized Model Control of DC-DC Converters. The simulation results show that the adaptive DC-DC converter still has good robustness and control performance when the input voltage, load, reference voltage or other parameters of the converter are changed. The maximum overshoot is 3.73%, and the steady-state error is 0. The mean of relative errors of V_out, i_L and R are 0.18%, 2.64% and 2.78% respectively.