Field programmable gate array implementation of a single‐input fuzzy proportional–integral–derivative controller for DC–DC buck converters. Issue 6 (1st May 2016)

• Record Type: Journal Article
• Authors: Chang, Changyuan; Yuan, Yubo; Jiang, Tianlin; Zhou, Zhongjie
• Is Part Of: IET power electronics. Volume 9:Issue 6(2016)
• Page Start: 1259
• Page End: 1266
• Publication Date: 2016-05-01
• Subjects: DC‐DC power convertors -- field programmable gate arrays -- fuzzy control -- three‐term control -- fuzzy set theory -- vectors -- genetic algorithms; field programmable gate array implementation -- FPGA -- single‐input fuzzy proportional‐integral‐derivative controller -- PID control scheme -- dc‐dc buck converters -- SIF logic -- fuzzy rules -- hardware resource occupancy -- double‐input fuzzy controller -- DIF controller -- two‐dimension rule tables -- one‐dimension rule vectors -- signed distance method -- genetic algorithm -- Toeplitz structure -- inference rules -- system response curve -- control performance; Power electronics -- Periodicals; 621.31705
• DOI: 10.1049/iet-pel.2015.0688
• Languages: English
• ISSNs: 1755-4535

Abstract

Abstract : The design and field programmable gate array implementation of a single‐input fuzzy (SIF) proportional–integral–derivative (PID) control scheme applied to DC–DC buck converters are presented. The SIF logic reduces the number of fuzzy rules and therefore the hardware resource occupancy without control property degradation compared with the double‐input fuzzy (DIF) controller, which is realised by transforming the two‐dimension rule tables into one‐dimension rule vectors using signed distance method and genetic algorithm. The adopted signed distance method requires the two‐dimension rule tables to be of Toeplitz structure, which is realised by establishing the inference rules through analysing the system response curve. The fuzzy logic regulates the PID parameters based on the conditions of the power converters. As a result, the SIF‐PID controller is superior to the conventional PID controller and is similar to DIF‐PID controller in terms of the control performance. The proposed controller has been validated with simulation and experimental results.