Black-box identification of the electromagnetic torque of induction motors: polynomial and neural models

  • Authors:

  • Lucia Frosini;Giovanni Petrecca

  • Affiliations:

  • -;-

  • Venue:
  • IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
  • Year:
  • 2000

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Abstract

In this paper we examine the problem of knowing the value of steady-state electromagnetic torque in induction motors installed in industrial plants. The models derived from two parametric black-box identification techniques (polynomial and neural) are implemented and tested for two motors and compared with the analytical model provided by the equivalent circuit theory. Both provide better performances when compared to the latter; the best performance is given by the neural model.