Optimal efficiency control of induction motor with, core loss

Lingshun, Liu; Zhang, Kai; Zhang, Shutuan

doi:10.1109/asemd.2009.5306662

Cited by 8 publications

(2 citation statements)

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“…The methods of hardware optimization are very clear: better winding materials, better motor ventilation structure designs, and the use of rare-earth materials, like neodymium iron boron (NdFeB), to increase the magnetic flux density. There are two main energy-saving control strategies to improve the PMSM efficiency from the controlling point: the motor loss model and the input-power-searching model [1][2][3][4][5][6][7][8][9]. The loss model controls the motor through the optimization of the set values of the magnetic flux (or winding current and other electric data), which are calculated through mathematical methods.…”

Section: Of 23mentioning

confidence: 99%

Research on Efficiency of Permanent-Magnet Synchronous Motor Based on Adaptive Algorithm of Fuzzy Control

Sun,

Si,

Qiu

et al. 2024

Sustainability

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In today’s world, energy is undoubtedly one of the most significant problems. As the global electricity consumption continues to increase, electric motors, which are widely used as power devices, account for an increasingly prominent proportion of the energy consumed. Motors now consume about 45% of the total electricity in the world (60% in China); therefore, improving motor efficiency has become an important way to achieve carbon emission reduction and sustainable development. The aim of this research was to devise a new strategy to reduce CO2 emissions other than by building green power factories, because even the building of green power factories produces a great deal of CO2 emissions, and improving motor efficiency to reduce CO2 emissions could contribute to sustainable development worldwide. However, the improvement of motor efficiency encounters challenges, such as nonlinearity and disturbances, which affect the motor performance and energy efficiency. To address this issue, this paper proposes a control algorithm for permanent-magnet synchronous motors (PMSMs) that is highly efficient and would be most widely used based on a fuzzy control adaptive forgetting factor. It aims to enhance the efficiency and accuracy of the online parameter estimation for the PMSM flux linkage, thereby achieving more precise and energy-efficient motor control. Firstly, the recursive least-squares parameter estimation algorithm is used to identify the parameters of the PMSM. This ensures that the parameter estimation values can be dynamically updated with data changes, adapting to the time-varying parameters. Secondly, the Padé approximation method is adopted, which is a method that does not depend on the motor hardware, to improve the accuracy of the linearized model of the motor. Finally, a control algorithm based on the fuzzy control adaptive forgetting factor algorithm is constructed on a physical experimental platform. A comparison of these results proves that the control technology under this algorithm provides a new energy-saving control strategy that can estimate the motor flux linkage parameters more accurately, help to reduce energy consumption, promote the use of clean energy, and achieve sustainable performance optimization.

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Section: Of 23mentioning

confidence: 99%

Research on Efficiency of Permanent-Magnet Synchronous Motor Based on Adaptive Algorithm of Fuzzy Control

Sun,

Si,

Qiu

et al. 2024

Sustainability

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“…Structural optimization ideas in mechanical engineering are described in the early 1960s (Wu et al, 2018). The major importance of increasing efficiency at the lowest cost value is to improve power factor, as a result, will save a high percentage of power for all drive systems used in the industry fields; therefore, all designers must be interested in reaching a higher efficiency point of operation (Liu et al, 2009), because a few percentage increases in efficiency leads to a large saving in active power and decrease losses (Auinger, 2001).…”

Section: Introductionmentioning

confidence: 99%

Parameters Variation to Estimate Performance Characteristics of 3-Phase Asynchronous Motor

Hikmat Elias,

Shaia Hanna

2023

UKHJSE

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The 3-phase asynchronous squirrel cage motors (SCIM) are main competitor machines placed instead of other motors in the commercial and industrial fields. The stator and rotor material selection and construction topology influence the electrical machine design. The results illustrated with the motor of a 15KW, variable controlled speed, for the constant frequency of 50 Hz or 60 Hz. The motor parameters created inside the simulation model must be matched with the value of a standard parameter for SCIM to achieve a high dynamic response. This work examines the effect of the parameters variation for synchronous motor on the performance characteristics at starting point and at a load change for different time and speed regions. Changing of the rotor power is taken into consideration, this occurs with dynamic change of the hydraulic pump load from the valve.In the industrial applications, production,and manufacturing, till present there are still struggles to find the most holistic environment of the SCIM to achieve its efficiency at the lowest cost and same time control the motor performance, so we predicted the method of reducing the most effective motor parameters to improve the efficiency.The offline method used the SCIM parameters to calculate the time-varying current, torque, and rotor speed. The results illustrated that this method was fully consistent with the experiment tests and the standard theoretical values.A MATLAB program is used to simulate this study. The simulation model proved the feasibility of the proposed method with encouraging performance.

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