A simple direct-torque neuro-fuzzy control of PWM-inverter-fed induction motor drive
نویسندگان
چکیده
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.
منابع مشابه
A Novel Variable Gain PI Controller Used for Speed Control of a Direct Torque Neuro Fuzzy Controlled Induction Motor
This paper presents an original variable gain PI (VGPI) controller for speed control of a direct torque neuro fuzzy controlled (DTNFC) induction motor drive. First, a VGPI speed controller is designed to replace the classical PI controller in a conventional direct torque controlled induction motor drive. Its simulated performances are then compared to those of a classical PI controller. Then, a...
متن کاملIntelligent Control of Induction Motor Based Comparative Study: Analysis of Two Topologies
In this paper, two intelligent direct torque control strategies are compared with the classical direct torque control (C-DTC) scheme, namely neural network control (NNC) and neuro-fuzzy control (NFC) are introduced to replace the hysteresis comparators and lookup table of the C-DTC for pulse width-modulation-inverter-fed induction motor drive, to solve the problems of torque ripple and inconsta...
متن کاملSeven-Level Direct Torque Control of Induction Motor Based on Artificial Neural Networks with Regulation Speed Using Fuzzy PI Controller
In this paper, the author proposes a sensorless direct torque control (DTC) of an induction motor (IM) fed by seven-level NPC inverter using artificial neural networks (ANN) and fuzzy logic controller. Fuzzy PI controller is used for controlling the rotor speed and ANN applied in switching select stator voltage. The control method proposed in this paper can reduce the torque, stator flux and to...
متن کاملComparison of MRAS Based Rotor Resistance Estimator Using Reactive Power and Flux Based Techniques for Space Vector PWM Inverter Fed Induction Motor Drives
The performance of Vector Controlled Induction Motor drive depends on the accuracy of rotor resistance which will vary with temperature and frequency. The MRAS approach using reactive power and flux as a state variable for rotor resistance estimation makes MRAS computationally simpler and easy to design. In this paper, Rotor Flux based MRAS (RF-MRAS) and Reactive Power based MRAS (RP-MRAS) for ...
متن کاملTorque Ripple Reduction in Direct Torque Controlled Induction Motor Drive by Using Fuzzy Controller a Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Technology in Power Control and Drives
Direct torque control (DTC) of an induction motor fed by a voltage source inverter is a simple scheme that does not need long computation time and can be implanted without mechanical speed sensors and is insensitive to parameter variations. In principle, the motor terminal voltages and currents are sampled and used to estimate the motor flux and torque. Based on estimates of the flux position a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Trans. Industrial Electronics
دوره 47 شماره
صفحات -
تاریخ انتشار 2000