PWM DC-DC变换器的自调度模糊控制

S. El Beid, S. Doubabi
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引用次数: 4

摘要

本文提出了一种PWM DC-DC变换器的自调度模糊控制(SSFC)。控制这些系统的主要困难在于它们的非线性特性,因为它们的开关电路拓扑结构需要不同的操作模式。基于Takagi-Sugeno模糊建模方法,以占空比为前提变量,推导出各工作点的变流器模型。针对每个局部模型,采用并行分布补偿(PDC)和线性二次型调节器(LQR)技术设计了基于状态反馈的控制律。利用TS模糊推理方法,采用逐片仿射(PWA)近似处理了由电感ESR引起的输出电压与占空比相关传递函数的非线性特征。最后,PWM降压变换器的仿真结果表明了该方法的有效性。
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Self-Scheduled Fuzzy Control of PWM DC-DC Converters
This work proposes a Self-Scheduled Fuzzy Control (SSFC) of PWM DC-DC Converters. The main difficulty in controlling these systems stems from their non linear nature as their switched circuit topology entails different modes of operation. Based on the Takagi-Sugeno Fuzzy Modelling approach with the duty ratio as premise variable, the converter model can be derived in every operating point. For each local model, a state feedback based control law is designed by the way of the PDC (Parallel Distributed Compensation) and LQR (Linear Quadratic Regulator) techniques. The nonlinear feature of the transfer function relating the output voltage to the duty ratio, caused by the inductor ESR, is handled by a Piece wise Affine (PWA) approximation using TS method of fuzzy inference. Finally, simulation results from a PWM Buck-Boost converter illustrate the efficiency of the proposed approach.
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