Robust Speed Control of Induction Motor Drives Using First-Order Auto-Disturbance Rejection Controllers

Li, Jie; Ren, Hai‐Peng; Zhong, Yanru

doi:10.1109/tia.2014.2330062

Cited by 115 publications

(42 citation statements)

References 10 publications

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“…However, the motor and the DC bus negative terminal connected to the current begin to decline when the difference between the instantaneous current value and the actual current reaches the hysteresis width (minus the edge). The appropriate hysteresis width is selected to allow the actual current to continue to track a given current waveform, which is the current closed-loop control [3]. The current loop should obtain an excellent follow-up performance according to the requirements of the control system, and the influence of electromotive force should be ignored.…”

Section: System Structurementioning

confidence: 99%

Brushless DC Motor Control Strategy for Electric Vehicles

Li¹

2018

IJPE

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A self-adaptive fuzzy proportional integral derivative (PID) control method based on genetic optimization is proposed to solve the problem of low precision and low anti-jamming capabilities of the brushless direct current (DC) motor control system of electric vehicles. A double closed-loop speed control system model of the drive motor is established based on an analysis of the mathematic model of a permanent magnet brushless DC motor. Adaptive fuzzy PID control is introduced. The fuzzy membership function is optimized by the genetic algorithm and referred to as the optimized adaptive fuzzy PID control method. The design and simulation of the system are realized by using MATLAB/Simulink. Results show that in the same environment, the genetic algorithm with adaptive fuzzy PID control has better dynamic and static performance than ordinary and fuzzy PID. It has a good speed and anti-interference ability in a typical city driving environment.

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Section: System Structurementioning

confidence: 99%

Brushless DC Motor Control Strategy for Electric Vehicles

Li¹

2018

IJPE

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“…Yine klasik denetim yöntemlerine ek olarak Kalman Filter [18], alan yönlendirme [19], [20], pozisyon [21], adaptif [22], sonlu elemanlar [23], sonlu farklar [24], lojik [25], gibi yöntemler bulunmaktadır. Ayrıca, durum geri-beslemeli [26], stator voltaj [27], gözlemci tabanlı [28], matris teori [29], kayma modu [30], dijital sinyal işlemci [31], sensörlüsensörsüz [32], dayanıklı [33] denetim gibi pek çok yöntem önerilmektedir [1], [2], [34]. Son yıllardaki çalışmalar incelendiğinde akıllı denetim yöntemlerinin geliştirildiği (Yapay Sinir Ağları (YSA), Bulanık Mantık (BM), Genetik Algoritmalar (GA) vb.)…”

Section: Introductionunclassified

The use of interpolation techniques in induction motor control

Ötkün¹

2020

Pamukkale J Eng Sci

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İndüksiyon Motor'lar (IM) farklı yüklerde çalışırken nominal hızın gerisinde kaldıkları bilinmektedir. Bu bağlamda motor sürücüleri önem kazanmaktadır. Bu konu geçmişten günümüze pek çok bilim insanının dikkatini çekmiştir. Bu çalışmada, IM sürücüsü başarımını arttırmak amacıyla gerçekleştirilmiştir. IM sürücüsü de Skaler Denetim (SD) yöntemi kullanılmıştır. SD'de değişken frekanslı kontrol tekniği tercih edilmiştir. Böylece farklı yüklerde çalışan IM'nin nominal hızda çalışabilmesi için frekans değiştirilecektir. Frekans değişimini sağlamak için Gregory-Newton Interpolasyon (GNI) ve Lagrange Interpolasyon (LI) çözüm teknikleri kullanılmıştır. Bu iki farklı çözüm yöntemi, farklı yüklere karşılık nominal hız için gereken frekansı hesaplayarak sürücüye iletmektedir. Çalışma Matlab/Simulink programında test edilmiştir. Testlerden elde edilen sonuçlar iki interpolasyon tekniğinin de başarılı sonuçlar ürettiğini göstermiştir. Benzer sonuçlar üreten bu iki teknikte; GNI tekniğinin farklı yüklere cevap verme süresi yaklaşık 0.041-0.065 s arasında iken, LI tekniğinin cevap verme süresi 0.003 s'dir. Çalışma sonunda Oransal-Integral (PI) denetleyici ile performans incelemesi yapılmıştır. Sonuçlar göstermiştir ki, önerilen teknikler farklı hız ve yük değişimlerine hızlı cevap vermiş, daha hassas ve kararlı bir hız denetimi sağlamıştır.Induction Motors (IM) are known to remain behind the rated speed when operating at different loads. In this context, motor drivers gain importance. This subject has attracted the attention of many scientists from past to present. In this study, in order to increase the performance of IM driver was performed. Scalar Control (SC) method was used in IMD. The variable frequency control technique was preferred in SC. Thus, the frequency will be changed so that the IM operating in different loads can operate at nominal speed. Gregory-Newton Interpolation (GNI) and Lagrange Interpolation (LI) solution techniques were used to ensure frequency variation. These two different solution methods calculate the frequency required for the nominal speed in response to different loads to the driver. The study was tested in the Matlab/Simulink program. The results obtained from the tests showed that two interpolation techniques produced successful results. In these two techniques producing similar results; The response time of the GNI technique to the different loads is between 0.041-0.065 s, while the response time of the LI technique is 0.003 s. At the end of the study with Proportional-Integral (PI) controller the performance analysis was performed. The results showed that the proposed techniques gave quick response to different speed and load changes, resulting in more precise and stable speed control.Anahtar kelimeler: Hız kontrol, Indüksiyon motor sürücüsü, Interpolasyon, Lagrange, Gregory-Newton, IM.

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“…Integrated pest management is the most suitable for traction applications as its torque‐speed characteristics facilitate wide speed range and constant power mode operation. This can be controlled or tuned by the design of the motor …”

Section: Introductionmentioning

confidence: 99%

An efficient induction motor design for performance intensification using magnet software

Subramani

Sengamalai

2019

Int Trans Electr Energ Syst

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Summary In this research, a novel three‐phase 2.2 kW squirrel‐cage induction motor is designed in such way that the stator is constructed in a combination of magnets and coils and also the traditional aluminum rotor bar changed as copper rotor bar in the design. Therefore, the magnet should give additional repulsion for rotating the rotor hence reducing the input current. The simulation of novel designed induction motor is done by magnet software. Finite element approach gives accurate computations of the parameters demanded to acquire a world‐class prototype model, which is not feasible using mathematical tools. More than 80% of industries depend on this induction motor because it has a great effect in the industrial manufacturing and it is the integral part of the plant to develop the economic condition of developing countries. The average energy consumed by a motor is about 40‐80 times at initial cost. This article analyses the performance feature, which are efficiency, power factor, losses, energy, co‐energy, bar current, and bar current densities of novel designed induction motor using motor solver software. The designed induction motor using magnet software is imported to motor solver for the analysis. The performance of the analysis is compared with the conventional three‐phase 2.2 kW induction motor.

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Robust Speed Control of Induction Motor Drives Using First-Order Auto-Disturbance Rejection Controllers

Cited by 115 publications

References 10 publications

Brushless DC Motor Control Strategy for Electric Vehicles

Brushless DC Motor Control Strategy for Electric Vehicles

The use of interpolation techniques in induction motor control

An efficient induction motor design for performance intensification using magnet software

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