Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/849
Title: A rule-based acceleration control scheme for an induction motor
Authors: Shi, K. L.
Chan, T. F.
Wong, Yiu-kwong
Ho, Siu-lau
Subjects: Acceleration control
Induction motor drives
Intelligent control
Knowledge based systems
Simulation
Computer simulation
Electric drives
Electric potential
Heuristic methods
Intelligent control
Knowledge based systems
Vectors
Issue Date: Jun-2002
Publisher: IEEE
Source: IEEE transactions on energy conversion, June 2002, v. 17, no. 2, p. 254-259
Abstract: This paper presents a rule-based acceleration control scheme that aims to give an inverter-fed induction motor excellent dynamic performance. In every time interval of the control process, the acceleration increments produced by two different voltage vectors are compared, yielding one optimum stator voltage vector which is selected and retained. The online inference control is built using a rule-based system and some heuristic knowledge about the relationship between the motor voltage and acceleration. Because evaluation of integrals is not required and the motor parameters are not involved, the new controller has no accumulation error due to the integrals as in the conventional vector control schemes and the same controller can be used for different motors without modification.
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Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/849
DOI: 10.1109/IEMDC.1999.769191
ISSN: 0885-8969
Appears in Collections:EE Journal/Magazine Articles

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