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The stator flux observer is a key part in the method of Direct Torque Control (DTC). However, the accuracy of the stator flux estimation directly affected the performance of DTC. The traditional induction motor stator flux observation method have been analyzed in This paper. And for the Shortcomings of existing methods, a on-line identification methods based on Radial Basis Function(RBF) have been...
A new algorithm for speed observer based on Model Reference Adaptive System (MRAS) is proposed for high performance induction motor drive. It uses stator current error based MRAS speed observer. The reference model of the stator current error based MRAS is the measured stator current components and the adaptive model is neuro-fuzzy based stator current observer. The adaptive model also needs the use...
This paper presents Adaptive Neuro-Fuzzy Inference System (ANFIS) based intelligent control of vector controlled induction motor drive. The proposed intelligent control scheme consists of sensorless adaptive neuro-fuzzy speed controller with speed estimation based on adaptive neuro-fuzzy inverse model. The proposed neuro-fuzzy speed controller incorporates fuzzy logic algorithm with a five-layer artificial...
This work presents system identification using neural network approaches for modelling a laboratory based twin rotor multi-input multi-output system (TRMS). Here we focus on a memetic algorithm based approach for training the multilayer perceptron neural network (NN) applied to nonlinear system identification. In the proposed system identification scheme, we have exploited three global search methods...
This paper presents a new method of on-line estimation for the stator and rotor resistances of the induction motor in the indirect vector controlled drive, using artificial neural networks. The back propagation algorithm is used for training of the neural networks. The error between the rotor flux linkages based on a neural network model and a voltage model is back propagated to adjust the weights...
The electromagnetic characteristic and rotor vibration characteristic of turbine-generator are analyzed when rotor winding inter-turn short circuit fault has happened. This paper reveals that exciting magnetic force Ff is constant in a fixed condition whereas the exciting current If increases in case of rotor inter-turn fault. This paper also finds relevant characteristic parameters. Based on the...
Due to multivariable, highly nonlinear, strong coupling, time-varying dynamics and unavailability of measurements, induction motor control is still a difficult and complex engineering problem. Vector control has replaced traditional control method using the ratio of voltage and frequency as a constant, which improve greatly dynamic control efficiency of motor. However, under the circumstances of changing...
Electromagnetic aircraft launch system (EMALS) use linear motor to accelerate aircraft to launch speed. This paper presents a new method based on fuzzy-neural of HSLIMEO. It is important to improve efficiency not only saving economic and energy, but also reducing environmental pollution. To optimize efficiency, fuzzy controller combined with field-oriented scheme is proposed to work to optimize flux...
In this paper, a speed estimation and control strategy for induction motor drive based on an indirect field-oriented control is presented. The rotor speed estimator based on a RBF neural network utilizes stator voltage and current measured values to calculate the rotor speed, and the control approach based on a sliding-mode controller with an integral sliding surface is proposed in order to regulate...
This paper presents a new speed-sensorless vector control drive system for induction motor. In order to produce low harmonics in output voltage and current, reduce the torque fluctuation, and avoid the high voltage jump in switching time, the system utilizes three-level inverter to supply power for the induction motor and a SVPWM scheme with neutral point voltage balance strategy is applied for the...
A dynamic decoupling control approach based on neural network inverse system theory is developed for the AC-DC 3 degrees of freedom hybrid magnetic bearing (AC-DC 3-DOF HMB), which is a multivariable, nonlinear, strong coupled system. The configuration of AC-DC 3-DOF HMB is introduced briefly. The mathematics equations of radial and axial suspension forces are deduced. The analytical inverse system...
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