Buck型变换器输出跟踪的自适应动态规划算法
Adaptive dynamic programming algorithms for the output tracking of Buck converter systems

本文采用自适应动态规划算法研究了Buck型DC–DC变换器系统的输出跟踪问题. 首先构造一个误差系统,并定义含跟踪误差和控制代价的性能指标; 然后, 利用自适应动态规划算法得到Buck型变换器系统的最优控制, 使得含有跟踪误差和控制代价的性能指标达到最优. 接着, 利用该算法研究了网络环境下的Buck型DC–DC变换器系统的输出跟踪问题. 该算法避免了代数求解Riccati方程, 求解简洁快速. 最后, 仿真实验验证了该算法的有效性.
The problem of output tracking is considered for Buck DC–DC converter system based on adaptive dynamic programming (ADP) algorithms. Firstly, an error system is constructed. Then, a performance index is defined by taking the tracking error and control cost into consideration. Next, the optimal control is obtained by ADP for the Buck converter system, which can achieve the optimal tracking error and control cost. The problem of output tracking is also studied for networked Buck converter system based on ADP. The newly proposed algorithms avoid solving Riccati equation algebraically and have the characteristics such as simplicity and quickness. Finally, simulation results are given to illustrate the validity of the proposed methods.