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In this paper, the concept and implementation of a new simple direct-torque neuro-fuzzy control (DTNFC) scheme for pulsewidth-modulation-inverter-fed induction motor drive are presented. An adaptive neuro-fuzzy inference system is applied to achieve high-performance decoupled flux and torque control. The theoretical principle and tuning procedure of this method are discussed. A 3-kW induction motor experimental system with digital signal processor TMS 320C31-based controller has been built to verify this approach. The simulation and laboratory experimental results, which illustrate the performance of the proposed scheme, are presented. Also, nomograms for controller design are given. It has been shown that the simple DTNFC is characterized by very fast torque and flux response, very-low-speed operation, and simple tuning capability. Index Terms-Direct torque control, induction motor control, neuro-fuzzy control, voltage-source pulsewidth modulation inverters. I. INTRODUCTION A DVANCED speed control of a pulsewidth-modulation (PWM)-inverter-fed drive, based on direct torque control (DTC), is receiving wide attention in the recent literature [1]-[4], [9]-[10], [14]-[16]. Fig. 1 shows two system configurations for the DTC-controlled induction motor drive. Both systems use stator flux vector and torque estimators on a PWM-inverter-fed drive. The stator flux amplitude and the electromagnetic torque are the command signals which are compared with the estimated and values respectively, giving instantaneous flux error and torque error , as shown in the figure. In the conventional scheme [Fig. 1(a)] [14], the and signals are delivered to two hysteresis comparators. The corresponding digitized output variables and the stator flux position sector create a digital word, which selects the appropriate voltage vector from the switching table. Thus, the selection table generates pulses to control the power switches in the inverter. Among the well-known disadvantages of the DTC scheme are the following [1], [3], [9], [10], [16]: