Improvement of adaptive fuzzy control to adjust speed for a doubly fed induction motor drive (DFIM)
نویسندگان
چکیده
منابع مشابه
A FUZZY-BASED SPEED CONTROLLER FOR IMPROVEMENT OF INDUCTION MOTOR'S DRIVE PERFORMANCE
Induction motors (IMs) are widely used in many industrial applications due to their robustness, low cost, simplicity and relative good efficiency. One of the major considerations for IMs is their speed control. PI (proportional-integrator) controllers are usually used as speed controller. Adjusting the gain of PI controller is time-consuming which needs thorough considerations. Hence, fuzzy con...
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This paper presents a comparison between a fuzzy logic controller and a conventional IP controller used for speed control with a direct stator flux orientation control of a doubly fed induction motor. The effectiveness of the proposed control strategy is evaluated under different operating conditions such as of reference speed and for load torque step changes at nominal parameters and in the pr...
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This paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. The uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. The contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...
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This paper presents an intelligent speed control system based on fuzzy logic for a voltage source PWM inverter-fed indirect vector controlled induction motor drive. Traditional indirect vector control system of induction motor introduces conventional PI regulator in outer speed loop; it is proved that the low precision of the speed regulator debases the performance of the whole system. To overc...
متن کاملAdaptive neural speed control of the induction motor drive
In this paper adaptive neural controllers implemented in the speed and flux control loops of the induction motor drive are presented. Feedforward networks with sigmoidal neurons in the hidden layer are applied. Parameters of the neural network structure are updated on-line according to the Backpropagation algorithm. Described adaptive controllers provide the accurate control with fast response ...
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ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems (IJPEDS)
سال: 2020
ISSN: 2722-256X,2088-8694
DOI: 10.11591/ijpeds.v11.i1.pp496-504