scholarly journals Induction Motor Voltage Amplitude Control Technique based on the Motor Efficiency Observation

1970 ◽  
Vol 109 (3) ◽  
pp. 89-92 ◽  
Author(s):  
V. Bleizgys ◽  
A. Baskys ◽  
T. Lipinskis

The technique of voltage amplitude control of AC induction motor supplied by the frequency converter has been proposed. It is based on the observation of motor phase current amplitude value. The amplitude of motor supply voltage is controlled in real time in such a way that for given instant motor load and speed the phase current amplitude would be minimal, i.e. the efficiency of the motor would be maximal. The realization of this method of voltage amplitude control is less complicated as compared to vector control. It is enough to provide the continuous measurement of motor phase current amplitude and to find in the real time the amplitude of voltage, at which phase current amplitude is minimal. The proposed technique can be applied in the situations when the fast response of the motor supply voltage amplitude is not needed. The developed technique has been investigated experimentally using special test bench. Ill. 6, bibl. 11 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.109.3.178

2010 ◽  
Vol 164 ◽  
pp. 1-4 ◽  
Author(s):  
V. Bleizgys ◽  
A. Baskys

This paper presents investigation results of the influence of the supply voltage amplitude variation law on the efficiency of AC induction motor in variable-speed drive based on the frequency converter. It is demonstrated that the commonly employed linear and square voltage amplitude variation laws do not provide the highest efficiency of the AC induction motor. The corrected AC voltage amplitude variation dependences for different motor load torque, at which high efficiency of the motor supplied by the frequency converter is maintained, are proposed and discussed. Reported experimental study was performed on a special test bench.


Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1314
Author(s):  
Maciej Skowron ◽  
Teresa Orłowska-Kowalska

This article presents the efficiency of using cascaded neural structures in the process of detecting damage to electrical circuits in a squirrel cage induction motor (IM) supplied from a frequency converter. The authors present the idea of a sequential connection of classic neural structures to increase the efficiency of damage classification and detection presented by individual neural structures, especially in the initial phase of single or multiple electrical failures. The easily measurable axial flux signal is used as a source of diagnostic information. The developed cascaded neural networks are implemented in the measurement and diagnostic software made in the LabVIEW environment. The results of the experimental research on a 1.5 kW IM supplied by an industrial frequency converter confirm the high efficiency of the use of the developed cascaded neural structures in the detection of incipient stator and rotor winding faults, namely inter-turn stator winding short circuits and broken rotor bars, as well as mixed failures in the entire range of changes of the load torque and supply voltage frequency.


2013 ◽  
Vol 765-767 ◽  
pp. 2534-2537
Author(s):  
Yun Wu Zhang ◽  
Jing Zhu ◽  
Wei Feng Sun

A novel Under Voltage Lockout (UVLO) circuit featuring with fast response speed and low temperature coefficient threshold voltages is proposed in this paper. Compared with the conventional structure, the proposed circuit achieves the fast response ability thanks to the current-mode control technique is utilized. Meanwhile, this UVLO realizes hysteretic threshold by a feedback control path to improve the interference rejection capability. In addition, the threshold voltage varies slightly with the variation of the supply voltage and temperature by using a bandgap core. The proposed circuit implemented with 0.5μm BCD technology has an input high threshold voltage of 8.5V and a hysteresis of 1.5V, and start or shut off the power quickly. Test results verified that the proposed UVLO has the qualification to be applied to DC-DC converters.


2021 ◽  
Vol 330 ◽  
pp. 03008
Author(s):  
Viktor Ostrovlyanchik ◽  
Ivan Popolzin ◽  
Vasiliy Kubarev ◽  
Dabin Qi

One of the options for the modernization of existing hoist electric drives with a wound-rotor induction motor is its starting according to the scheme of a doubly-fed machine. For this purpose, a frequency converter with an adjustable amplitude, frequency and phase shift of the voltage at its output is connected to the motor rotor. At the same time, the problem of obtaining a mathematical model of both the double fed machine itself and the speed control system based on it is relevant due to the need to take into account the additional supply voltage in the differential equations drawn up in accordance with the Kirchhoff’s law for the stator and rotor windings. The paper proposes a structural diagram for the mathematical model of an induction motor drive of a hoist based on a doubly fed machine.


2014 ◽  
Vol 9 (5) ◽  
pp. 919 ◽  
Author(s):  
Saber Krim ◽  
Soufien Gdaim ◽  
Abdellatif Mtibaa ◽  
Mohamed Faouzi Mimouni

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2534
Author(s):  
Oualid Doukhi ◽  
Deok-Jin Lee

Autonomous navigation and collision avoidance missions represent a significant challenge for robotics systems as they generally operate in dynamic environments that require a high level of autonomy and flexible decision-making capabilities. This challenge becomes more applicable in micro aerial vehicles (MAVs) due to their limited size and computational power. This paper presents a novel approach for enabling a micro aerial vehicle system equipped with a laser range finder to autonomously navigate among obstacles and achieve a user-specified goal location in a GPS-denied environment, without the need for mapping or path planning. The proposed system uses an actor–critic-based reinforcement learning technique to train the aerial robot in a Gazebo simulator to perform a point-goal navigation task by directly mapping the noisy MAV’s state and laser scan measurements to continuous motion control. The obtained policy can perform collision-free flight in the real world while being trained entirely on a 3D simulator. Intensive simulations and real-time experiments were conducted and compared with a nonlinear model predictive control technique to show the generalization capabilities to new unseen environments, and robustness against localization noise. The obtained results demonstrate our system’s effectiveness in flying safely and reaching the desired points by planning smooth forward linear velocity and heading rates.


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