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首页> 外文期刊>Power Electronics, IET >Lyapunov model predictive control to optimise computational burden, reference tracking and THD of three-phase four-leg inverter
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Lyapunov model predictive control to optimise computational burden, reference tracking and THD of three-phase four-leg inverter

机译：Lyapunov模型预测控制，优化计算负担，参考跟踪和三相四腿逆变器的THD

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摘要

Due to the evolution of high processing microprocessors, the model predictive control (MPC) has been widely used in power electronic applications. In spite of simplicity, flexibility and fast dynamic response, the conventional MPC (C-MPC) has a drawback of computational burden. This study focuses on Lyapunov MPC (L-MPC) method, in which Lyapunov control law is employed in the cost function to minimise the error between the desired control variables and the actual control variables of three-phase four-leg inverter to optimise the closed-loop system performance. The proposed control algorithm takes advantage of a predefined Lyapunov control law which minimises the required calculation time by the Lyapunov model equations just once in each control loop to predict the future variables. L-MPC technique improves the digital speed by 23.8% as compared to C-MPC. It reduces current tracking error and total harmonic distortion (THD) in the variation of inverter control parameters. The stability of the system is established through Lyapunov function with the help of backsteping control method. The LabVIEW field programmable gate array (FPGA) rapid prototyping controller is used to validate the proposed control method. The experimental results showed that the proposed system has better performance as compared to C-MPC.
机译：由于高处理微处理器的演变，模型预测控制（MPC）已广泛用于电力电子应用中。尽管有简约，灵活性和动态快速响应，但传统的MPC（C-MPC）具有计算负担的缺点。本研究重点介绍Lyapunov MPC（L-MPC）方法，其中利用Lyapunov控制法在成本函数中采用，以最小化所需的控制变量与三相四腿逆变器的实际控制变量之间的误差来优化关闭-loop系统性能。所提出的控制算法利用了预定义的Lyapunov控制规律，该控制法最小化Lyapunov模型方程中所需的计算时间，只需一次在每个控制循环中以预测未来的变量。与C-MPC相比，L-MPC技术将数字速度提高23.8％。它降低了逆变器控制参数变化中的电流跟踪误差和总谐波失真（THD）。通过借助于背击控制方法，通过Lyapunov功能建立了系统的稳定性。 LabVIEW字段可编程门阵列（FPGA）快速原型制作控制器用于验证所提出的控制方法。实验结果表明，与C-MPC相比，所提出的系统具有更好的性能。

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