Title :
Improvements on transient characteristics of transverse flux homopolar linear machines using artificial knowledge-based strategy
Author :
Liu, Cheng-Tsung ; Kuo, Jian-Long
Author_Institution :
Inst. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
fDate :
6/1/1995 12:00:00 AM
Abstract :
This paper, which continues the preceding works (1993) provides further detailed discussions about both parasitic hunting-effect alleviation of a transverse flux homopolar linear induction machine (TFLIM), and improvement of closed-loop transient characteristics of a transverse flux homopolar linear oscillating machine (TFLOM). Novel artificial knowledge-based compensators are proposed to solve the above problems for these time-varying and highly nonlinear machine systems. It is shown that not only is this approach easy to implement practically, but also the involved design tasks of such compensators are applicable for other linear machine control objectives. Illustrations and verifications are given to confirm the features of this intelligent strategy
Keywords :
compensation; electric machine analysis computing; fuzzy logic; homopolar machines; homopolar motors; knowledge based systems; linear induction motors; magnetic flux; oscillations; time-varying systems; transient analysis; artificial knowledge-based strategy; closed-loop transient characteristics; compensators; fuzzy logic; intelligent strategy; linear induction machine; linear oscillating machine; nonlinear machine systems; parasitic hunting-effect alleviation; time-varying machines; transient characteristics improvement; transverse flux homopolar linear machines; Fuzzy logic; Induction machines; Machine control; Machine intelligence; Machine windings; Magnetic levitation; Propulsion; Prototypes; Reluctance motors; Time varying systems;
Journal_Title :
Energy Conversion, IEEE Transactions on
