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The permanent magnet (PM) brushless DC motor (BDCM) has been widely used in industrial applications because of its low inertia, fast response, high power density, high reliability and no maintenance requirements. It exhibits the operating characteristics of a conventional commutated permanent magnet DC motor but eliminates the mechanical commutators and brushes. Consequently, many problems associated with brushes and commutators are eliminated. A steady state reference current (SSRC) determination technique based on a neural network is proposed for the PM BDCM drive system. A conventional controller combined with this technique can improve system response speed, and reduce overshoot and oscillation. The design of the conventional controller is introduced. The SSRC determination technique is described in detail. Hardware implementation and experimental results are proposed. The drive system is tested under PI and fuzzy control.