Orthonormal functions based model predictive control of a current-source resonant inverter

Muhammad Nawaz, M. Saqib, S. A. Rahman Kashif, Zafar Ur Rehman Ch.
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Abstract

This paper explores Laguerre functions based model predictive control (MPC) of a current-source resonant inverter extensively used in induction heating applications. The classical MPC can be applied in these inverters but the main drawback of MPC is its weighty mathematical iterations. Hence, Laguerre functions based MPC approach is proposed in this work. The state space method is used to develop the proposed strategy. The Eigen values of the proposed controller are compared with the discrete-time linear quadratic regulator (DLQR). The Laguerre based MPC approach is then applied for the power control of the heating load.
基于正交函数的电流源谐振逆变器模型预测控制
本文研究了一种广泛应用于感应加热的电流源谐振逆变器的基于拉盖尔函数的模型预测控制。经典的MPC可以应用于这些逆变器,但MPC的主要缺点是其繁重的数学迭代。因此,本文提出了基于拉盖尔函数的MPC方法。使用状态空间方法来制定所提出的策略。将该控制器的特征值与离散线性二次型调节器(DLQR)进行了比较。然后将基于Laguerre的MPC方法应用于热负荷的功率控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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