Stabilization and Voltage Regulation of the Buck DC-DC
Converter Using Model Predictive of Laguerre Functions
Chala Merga ABDISSA1, Kil To CHONG2*
1 Jeonbuk National University, Baekje-daero 567 Deokjin-gu,
Jeonju, 561-756, South Korea
2 Jeonbuk National University, Baekje-daero 567 Deokjin-gu,
Jeonju, 561-756, South Korea.
ABSTRACT: This paper proposes a solution to stability and voltage regulation of switched mode buck DC-DC converter using a model predictive controller (MPC) of Laguerre functions. The MPC is used to compute the optimal control actions subject to constraints. To have a low computation burden and to avoid ill-conditioning, particularly for large prediction horizon, an exponentially weighted Laguerre based model predictive control (LMPC) is used. In order to validate the effectiveness of the proposed scheme, the performance of the proposed controller is compared with a linear quadratic regulator and classical linear state space MPC in MATLAB. Obtained results of simulation show that optimal voltage regulation has been achieved.
KEYWORDS: model predictive control; optimal control; ill-conditioning; prediction horizon, exponentially weighted; Laguerre; linear quadratic regulator.
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Chala Merga ABDISSA, Kil To CHONG*, Stabilization and Voltage Regulation of the Buck DC-DC Converter Using Model Predictive of Laguerre Functions, Studies in Informatics and Control, ISSN 1220-1766, vol. 26(3), pp. 315-324, 2017.