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Photovolatic inverter systems with self-tuning fuzzy control based on an experimental planning method
Conference paper

Photovolatic inverter systems with self-tuning fuzzy control based on an experimental planning method

T.-F. Wu, C.-H. Yang, Y.-K. Chen and Z.-R. Liu
Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), Vol.3, pp.1887-1894
1999

Abstract

This paper presents analysis and design of photovolatic inverter systems with self-tuning fuzzy control. The self-tuning algorithm is based primarily on experimental planning method which is widely used in quality control. By conducting matrix experiments via orthogonal array, several scaling-factor parameters of a fuzzy controller can be determined efficiently so that the designed fuzzy controller can satisfy the specifications. The proposed inverter system can not only supply loads with real power but also feed excess power to the utility (grid-connection mode), or can supply loads exclusively (stand-alone mode). In this paper, simulation results have verified the feasibility of the proposed control scheme and hardware results obtained from a system with a 16-bit single chip microcontroller (Intel 80196MC) are also presented to verify the theoretical discussions.

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