ICA-based speed control of induction motor fed by wind turbine

Ali, E. S.

doi:10.1007/s00521-015-2092-8

Cited by 7 publications

(3 citation statements)

References 25 publications

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“…en the remote controller executes the motor control instructions according to the control signal sent by the master controller and returns the sensor measurement data to the master controller [21,22]. In the process of permanent magnet synchronous motor servo control, it is found that the motor speed is greatly affected by the current.…”

Section: Modeling Of Networked Control Structure System Of Induction ...mentioning

confidence: 99%

Nonlinear Control of Induction Motor Based on Network Control System

Jin

2022

Mobile Information Systems

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With the rapid development of network communication technology and computer technology, network control system has been applied in many different fields. Networked AC induction motor is controlled by a communication network to realize data transmission. This paper mainly studies the nonlinear control of induction motor based on network control system. In order to solve the nonlinear problem of AC induction motor, this paper adopts the method of the linear resolve coupling, and combined with the characteristics of the Internet, establishes the mathematical model of the AC induction motor, and considers the use of the system parameter perturbation to construct the mathematical model of the AC induction motor. Aiming at the problems of system parameter perturbation and network-induced delay in networked AC induction motor control system, the robust control of networked AC induction motor control system is studied. The experimental results show that the proposed control strategy can achieve asymptotic stability of the system with parameter perturbation under the action of the controller and can achieve asymptotic stability even with external disturbance. Compared with control strategies 1 and 2, the adjustment time of the speed waveform oversetting phenomenon is about 0.18 s and 0.26 s, and the adjustment time of the control strategy proposed in this paper is only 0.06 s. It is shown that the nonlinear control method of induction motor based on network control system can significantly improve the validity and stability of the system model.

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Section: Modeling Of Networked Control Structure System Of Induction ...mentioning

confidence: 99%

Nonlinear Control of Induction Motor Based on Network Control System

Jin

2022

Mobile Information Systems

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“…The study of a wind energy conversion system (WECS) based on Permanent Magnet Synchronous Generator by using an appropriate control is considered in many papers described [22][23][24][25][26][27]. Most previous systems have proposed testing the system via step variations of normal or high induction motor rotor speed only [28,29]. To evaluate the system performance with the proposed controller, variations of low IM rotor speed test should be applied [30,31].…”

Section: Of 17mentioning

confidence: 99%

Performance Improvements of Induction Motor Drive Supplied by Hybrid Wind and Storage Generation System Based on Mine Blast Algorithm

Abdalla¹,

Abdullah²

2019

Energies

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This research investigates the performance improvements of induction motor (IM) drive supplied by a hybrid wind/battery storage system based on the optimal mine blast algorithm. This is done by using IM field-oriented speed control as an independent dynamic load and a battery as a storage power unit. To ensure the accuracy and quality of energy equilibrium in autonomous wind power systems, there is an urgent and necessary demand for battery storage units. So in principle, the overall system of the complete model is configured to be combined with an uncontrolled rectifier, a steady magnetic synchronous generator (PMSG), a buck converter, and a lead–acid battery (LAB) in addition to an induction motor. According to the imposed controller, the loads required power can be obtained effectively by the prescribed battery storage and the wind generation units. Considering the suggested vector control to adjust the induction motor velocity through a three-phase inverter, it will be obtained 220 V/50 Hz, which is the principal target of this research. Moreover, the system with the proposed optimal control is compared with the optimal control based on genetic algorithm (GA) and the classical PID control. It is, therefore, possible to conclude that the results of numerical calculations and simulations illustrate that the studied system has strong achievement and perfect predictor of the electric parameter waveforms.

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“…Although data‐driven models are more accurate without the need to specify a precise functional form, the complexity of computation and time consuming limit their practical application values [19]. The fault detection of WTs should be timely and rapid, providing sufficient time for the maintenance of operators to deal with various abnormal conditions.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fault detection in wind turbine via RF and CUSUM

Lü

Zhai³

et al. 2020

IET Renewable Power Generation

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Rapid developments of wind industry arise the issue of heavy monitoring tasks. The residual monitoring based on normal behaviour modelling is a highly recommended method when fault record information is missing. However, it is difficult to achieve efficient normal behaviour modelling and dynamic residual monitoring simultaneously. To this end, a novel adaptive fault detection scheme, which merges random forest (RF) with adaptive cumulative sum (CUSUM), is proposed. The authors exploit RF to explore the non-linear mechanism between features and the target variable robustly, and obtain the residuals quickly. Then, they design the adaptive CUSUM control chart of time-varying shift to sensitively detect the changes of residuals. For illustration, they apply the proposed scheme to the supervisory control and data acquisition data acquired from a wind farm in China. The empirical results demonstrate that the proposed scheme is superior to several competing methods in capturing faults and reducing false alarms. Meanwhile, the authors find it can detect anomaly quickly, automatically and robustly under different signal-to-noise ratios. These provide operators sufficient time to adopt an effective maintenance strategy.

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ICA-based speed control of induction motor fed by wind turbine

Cited by 7 publications

References 25 publications

Nonlinear Control of Induction Motor Based on Network Control System

Nonlinear Control of Induction Motor Based on Network Control System

Performance Improvements of Induction Motor Drive Supplied by Hybrid Wind and Storage Generation System Based on Mine Blast Algorithm

Adaptive fault detection in wind turbine via RF and CUSUM

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