Improvements on Transient Characteristics of Transverse Flux Homopolar Linear Machines Using Artificial Knowledge-Based Strategy

This paper, which continues the preceding works [1,2], will provide further detailed discussions about both parasitic hunting-effect alleviation of transverse flux homopolar linear induction machine (TFLIM), and improvement on closedloop transient characteristics of transverse flux homopolar linear oscillating machine (TFLOM). Novel artificial knowledge-based compensators are proposed here to solve above problems for these time-varying and highly nonlinear machine systems. It will be shown that not only this approach is easy of practical implementation, but also the involved design tasks of such compensators are applicable for other linear machine control objectives. Illustrations and verifications will be supplied to confirm the graceful features of this intelligent strategy.