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Publications (3)0 Total impact

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    ABSTRACT: A review of different optimum flux search algorithms for loss minimization in a vector-controlled induction motor drive is presented. A fuzzy logic controller, actuating as a supervisor, is proposed to work, with reduced flux levels during transients, to optimize efficiency also in dynamic mode. Experimental results demonstrate the validity of the proposed methods. I. INTRODUCTION It is estimated that more than 50% of the world electric energy generated is consumed by electric machines [1]. Improving efficiency in electric drives is important, mainly, for two reasons: economic saving and reduction of environmental pollution [2]. Induction motors have a high efficiency at rated speed and torque. However, at light loads, iron losses increase dramatically, reducing considerably the efficiency [3], [4]. To improve the motor efficiency, the flux must be reduced, obtaining a balance between copper and iron losses [5]. Basically, there exist two different approaches to improve the efficienc...
    11/1997;
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    ABSTRACT: Induction motors are, without any doubt, the most used in industry. Motor drive efficiency optimization is important for two reasons: economic saving, and reduction of environmental pollution. In this paper, advantages of using fuzzy logic in steady-state efficiency optimization for induction motor drives are described. Experimental results of a fuzzy logic based optimum flux search controller are presented. For transient states a new original idea is introduced: a fuzzy logic based controller actuating as a supervisor is proposed to work with reduced flux levels during transients to optimize efficiency also in dynamic mode. Two different rule tables are designed, for torque transitions and for reference speed changes. With this controller efficiency can be improved in transients, and also search controller convergence speed is increased. Experimental results with a 1.5 kW induction motor drive demonstrate the validity of the proposed methods
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on; 08/1997
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    ABSTRACT: A review of different optimum flux search algorithms for loss minimization in a vector-controlled induction motor drive is presented. A fuzzy logic controller, actuating as a supervisor, is proposed to work with reduced flux levels during transients and also to optimize efficiency in dynamic modes. Experimental results demonstrate the validity of the proposed methods
    Power Electronics Specialists Conference, 1997. PESC '97 Record., 28th Annual IEEE; 07/1997