Buck型DC-DC变换器的预测控制优化算法设计

针对Buck型DC-DC变换器对象,以驱动系统输出电压快速跟踪设定电压值为控制目标,设计了预测控制优化算法对输出电压进行优化控制。首先采用线性矩阵不等式(LMIs)技术和不变集方法,将Buck变换器的控制问题转化为半正定规划问题,随后基于预测控制的滚动优化思想对Buck变换器输出电压设计无穷时域性能优化算法。基于该优化算法和3个不同的采样周期,对Buck型变换器的电压输出进行了仿真控制,结果表明,Buck型变换器的输出电压能较快地收敛至设定电压值,取得了更优的控制性能,验证了该算法的有效性。

Model Predictive Control Algorithm for Buck DC-DC Converter

For the Buck DC-DC converter, a model predictive control method is proposed to drive the output voltage to the setpoint value with more rapid convergence speed. By using the linear matrix inequality (LMI) technique and the invariant set, the control problem of the Buck converter is transformed into a semidefinite programming problem. Motivated by the idea of rolling horizon control of model predictive control, the infinite horizon performance of the Buck converter is optimized by the available online computation. The proposed predictive controller can achieve faster convergence speed and better control performance compared with the past literature under three different sampling periods. The simulation results show the effectiveness of the control method.