de León Puig Nubia Ilia Ponce, Bozalakov Dimitar, Acho Leonardo, Vandevelde Lieven, Rodellar José
Universitat Politécnica de Catalunya-UPC, BarcelonaTech. Escola d'Enginyeria de Barcelona Est-EEBE, Department of Mathematics, Spain.
Ghent University, Faculty of Engineering and Architecture, Department of Electromechanical Systems and Metal Engineering, Belgium.
ISA Trans. 2020 Oct;105:240-255. doi: 10.1016/j.isatra.2020.05.015. Epub 2020 May 11.
This article proposes a recent Adaptive-Predictive (AP) control technique applied to a DC-DC buck converter. This converter topology has a wide range of applications in the current electronic and electrical systems that demand an efficient use of low bus voltage and specific requirements in load current consumption. Nevertheless, this converter, and in general any DC-DC converter topology, presents a control challenge due to its nonlinear nature. Hence, in this article, it is proposed an adaptive-predictive control scheme that has low implementation complexity and improves the buck converter performance since it provides a fast response of the output voltage. Moreover, the output is adequately regulated even when the system is subjected to perturbations in the reference voltage, in the input voltage, in the load or in the converter parameters that may be seen as faults in the system. On the other hand, one of the main contributions of the proposed control technique with respect to other controllers is that the AP control scheme allows to on-line infer the parametric status of the plant thanks to its adaptive stage. In addition, a dynamic Hysteresis Modulator (HM) is properly inserted in the control strategy to improve the dynamic behavior of the Adaptive Mechanism (AM), and in general, of the entire closed-loop control performance. To validate the effectiveness of the control design, a wide range of numerical experiments are carried out by using Matlab/Simulink. Finally, the developed control technique was implemented in a benchmark experimental platform. According to the experimental results, the proposed predictive control is suitable for real scenarios in the power electronics applications.
本文提出了一种应用于DC-DC降压变换器的最新自适应预测（AP）控制技术。这种变换器拓扑在当前电子和电气系统中有着广泛的应用，这些系统需要高效利用低母线电压并对负载电流消耗有特定要求。然而，这种变换器，以及一般的任何DC-DC变换器拓扑，由于其非线性特性，都存在控制挑战。因此，本文提出了一种自适应预测控制方案，该方案实现复杂度低，并且由于能提供快速的输出电压响应而提高了降压变换器的性能。此外，即使系统在参考电压、输入电压、负载或变换器参数方面受到扰动（这些扰动在系统中可视为故障），输出也能得到充分调节。另一方面，相对于其他控制器，所提出的控制技术的主要贡献之一是，AP控制方案因其自适应阶段而允许在线推断被控对象的参数状态。此外，在控制策略中适当插入了动态滞环调制器（HM），以改善自适应机制（AM）的动态行为，进而改善整个闭环控制性能。为了验证控制设计的有效性，使用Matlab/Simulink进行了广泛的数值实验。最后，在一个基准实验平台上实现了所开发的控制技术。根据实验结果，所提出的预测控制适用于电力电子应用中的实际场景。
