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This paper implement an online training of dynamic neural networks (NNs) for identification and control of permanent magnet synchronous motor (PMSM) servo system. Utilizing two multilayer feed-forward NNs, it makes no such assumptions. The two networks work in tandem to simultaneously achieve system identification and adaptive control. The proposed control system is designed and its effectiveness...
Induction motors are efficient in rated load, but its efficiency is reduced in light loads. Some controllers and techniques are presented in literature as a method to improve this performance, such the Search Controller (SC) and Loss Model Based Controller (LMC). To compare the response of efficiency controllers, the motor model is presented with current, speed and flux PI controllers. It is also...
The problem of controlling the induction motor π-model with magnetic saturation is considered using an adaptive controller with stator current and rotor speed measurement. The new in this paper that in the previous work, only the rotor resistance and load torque can be adapted using the controller but in this work, using artificial intelligent technique, an adaptation of the stator resistance variation...
In the traditional direct torque control (DTC) of induction motor, the low order harmonic component of stator current is very large when the motor is running at low speed. It leads to high torque ripple of motor in low speed. To solve this problem, a new control method has been proposed in this paper. Base on the traditional DTC method, electromagnetic torque and flux models have been analyzed. To...
Three-motor variable-freqency speed-regulation synchronous system is a multi-input multi-output(MIMO), nonlinear, and coupling system. The mathematic model of the system is established in the way of analytical expression. Self-tuning PID controllers based on DRNN neural network and neuron decoupling compensator are adopted to realize the adaptive decoupling control of speed and tension. The experiment...
An adaptive state feedback linearizing control (AFLC) is designed for a fifth order model of a three-phase induction motor which includes both electrical and mechanical dynamics. The control algorithm contains an adaptive scheme of feedback linearization control (FLC) to improve robustness against of model parameters variation of induction motor servomechanism. In order to provide an estimated rotor...
The adaptive backstepping nonlinear speed controller of permanent magnet synchronous servo motor (PMSSM) with uncertain parameters is designed in this paper. The inertia, viscous friction coefficient and load torque which are vulnerably affected by external disturbances can be estimated in real time. A second-order filter is adopted to reduce the speed overshoot in the starting course of PMSSM. On...
This paper presents the experimental validation of an efficient position control scheme, based on the speed smooth VSC (Variable Structure Control) algorithm with an adaptive gain for the indirect vector control of the induction motor. The position loop is regulated with a Proportional controller and the speed loop incorporates a smooth and adaptive VSC regulator, while in the current loops incorporates...
Switched reluctance motors (SRMs) have some mechanically structural and electrical advantages. They also have disadvantages not only related to noise but also to nonlinearity in electromechanical responses. Unlike, for example, dc motors, the responses of current and torque of SRMs heavily depend on operating point associated with current and speed. Adaptive control based on model reference adaptive...
the theory of nonlinear optimal predictive control is applied to the ideal induction motor speeding system, and dynamic decoupling of rotor speed and flux can be obtained. Considering the varieties of load torque and rotor resistance, an identification scheme of model reference adaptive system asymptotically tracks the true values of the load torque and rotor resistance. So an adaptive control method...
This paper deals with the synthesis of a stabilizing Backstepping nonlinear control provided with an adaptive Backstepping observer to estimate the rotor flux of an Induction Machine (IM). This approach is based on the vector control strategy by replacing the existing conventional controller with a Backstepping control in order to more quickly bring back the q-axis flux towards zero and to reduce...
An adaptive fuzzy sliding mode controller is presented for a nonlinear system with perturbed uncertainties of PMSM (Permanent Magnet Synchronous Motor) associated with the sliding mode control. This controller employs fuzzy control to assign compensate according to expert's experience, and adaptive control to attenuate chattering caused by sliding mode control. This method is applied to PMSM servo...
Control of Inductor Motors is a difficult task because of the motors' non-linear nature. Hence, the Inductor Motors are usually expressed by complicated non-linear models. This paper presents a new and effective method for modeling stator current and estimating rotor flux of an induction motor by applying Direct-Decoupling Methodology. A nonlinear control approach with full state feedback linearization...
Control of Induction Motor (IM) is well known to be difficult owing to the fact the models of IM are highly nonlinear and time variant. In this paper, to achieve accurate control performance of rotor position control of IM, a new method is proposed by using adaptive inverse control (AIC) technique. In recent years, AIC is a very vivid field because of its advantages. It is quite different from the...
To enhance the performance of permanent magnet synchronous motor drive, a sensorless direct torque control (DTC) scheme based on adaptive backstepping control is proposed to control the torque and stator flux linkage, which use five-order permanent magnet synchronous motor (PMSM) dynamic model in the stationary frame with stator currents, rotor flux linkage and rotor speed. In the proposed scheme,...
A nonlinear speed controller for doubly-fed induction motor (DFIM) based on backstepping control and fuzzy sliding mode approach was designed to counter the effects of the coupling between the electromagnetic torque and the flux. The proposed strategy using fuzzy switching control could enhance the robustness adaptively compare with conventional sliding mode control. A simulation model for the doubly-fed...
According to the mathematic model of doubly-fed induction generator, the adjustable model and reference model based on MRAS are found. The adjustable model of model reference adaptive system based on neural network is derived by backward differentiation method and the algorithm for magnetic flux linkage is determined using two-layer neural network . Besides, the speed identification of doubly-fed...
This paper proposes a sensorless speed control scheme based on a model reference adaptive control (MRAC) and it is applied to a Single-Phase Induction Motor. The rotor speed control algorithm is based on robust model reference adaptive controller (RMRAC). The speed estimation technique is obtained from a MRAS (Model Reference Adaptive System) algorithm, based on the motor reactive power calculation...
This paper introduces the nonlinear speed control scheme for a permanent magnet synchronous motor (PMSM) drive. Based on the designed nonlinear sliding-mode control tracking a linear reference model, the adaptive backstepping control approach is utilized to derive the control scheme, which is robust to the mismatched parameter uncertainties and load torque disturbance. With the proposed control, the...
This paper deals with the design of MRAS-based observer in speed sensorless induction motor drive. The option of reference coordinate of current model is focused on, for there exists an unstable region when the model is expressed in discrete form. An option of voltage model and current model in stationary and synchronous coordinate respectively, is proposed to allow the system to run stable in the...
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