The control system of a multiple-input dc–dc converter should ensure the stability of output voltage and reasonably distribute the power of multiple-input voltage sources. In addition, there is mutual coupling between multiple closed control loops, which makes the design of the control system difficult. Based on the ability of model predictive control (MPC) to deal with constraints explicitly, a model predictive control algorithm based on the state-space averaging method is proposed for a double-input buck converter. First, a state-space averaging model of a double-input buck converter is established. Then, considering the power management of two input power supplies, a model predictive controller is designed based on the model by combining the input constraints with the objective function. Both simulation and experimental results show that the system has good steady-state accuracy and fast dynamic response characteristics under the action of model predictive controller.

多输入DC-DC转换器的控制系统应确保输出电压的稳定性，并合理分配多输入电压源的功率。另外，多个闭合控制回路之间存在相互耦合，这使得控制系统的设计变得困难。基于模型预测控制（MPC）明确处理约束的能力，提出了一种基于状态空间平均方法的双输入降压型变换器模型预测控制算法。首先，建立双输入降压转换器的状态空间平均模型。然后，考虑到两个输入电源的电源管理，通过将输入约束与目标函数相结合，基于模型设计模型预测控制器。