Estimator of the Rotor Temperature of Induction Machine Based on Terminal Voltages and Currents

Popov, Nikola Z.; Vukosavić, Slobodan N.

doi:10.1109/tec.2016.2609502

Cited by 16 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the utilization of these sensors, especially for critical machine applications, can have considerable limitations due to the safety risks posed by the electrically conductive nature of the sensor material and the sensor installation complexity; further constraints arise from the physical dimensions of these sensors, which can prevent or significantly complicate the effective access to key thermal measurement locations of interest (e.g., windings slots) [27]. The conventional TC and RTD-based thermal sensing are additionally challenged where the monitoring of machine rotary components is concerned, suffering from installation and wiring complexity and challenges around data transmission between the rotating rotor and a stationary external sensing platform [28,29]. The application of FBG sensing to monitor the electric machine temperature, with its multitude of inherent advantages for sensing in confined and harsh environments, has been gaining attention as a viable alternative to traditional temperature sensing systems.…”

Section: Thermal Sensingmentioning

confidence: 99%

Fiber Optic Fiber Bragg Grating Sensing for Monitoring and Testing of Electric Machinery: Current State of the Art and Outlook

et al. 2022

View full text Add to dashboard Cite

This paper presents a review of the recent trends and the current state of the art in the application of fiber optic fiber Bragg gratings (FBG) sensing technology to condition the monitoring (CM) and testing of practical electric machinery and the associated power equipment. FBG technology has received considerable interest in this field in recent years, with research demonstrating that the flexible, multi-physical, and electromagnetic interference (EMI) immune in situ sensing of a multitude of physical measurands of CM interest is possible and cannot be obtained through conventional sensing means. The unique FBG sensing ability has the potential to unlock many of the electric machine CM and design validation restrictions imposed by the limitations of conventional sensing techniques but needs further research to attain wider adoption. This paper first presents the fundamental principles of FBG sensing. This is followed by a description of recent FBG sensing techniques proposed for electric machinery and associated power equipment and a discussion of their individual benefits and limitations. Finally, an outlook for the further application of this technique is presented. The underlying intention is for the review to provide an up-to-date overview of the state of the art in this area and inform future developments in FBG sensing in electric machinery.

show abstract

Section: Thermal Sensingmentioning

confidence: 99%

Fiber Optic Fiber Bragg Grating Sensing for Monitoring and Testing of Electric Machinery: Current State of the Art and Outlook

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Signal injection methods generally interfere with the internal operation of the machine by generating a torque ripple. In [19], the authors circumvent this problem by using on the one hand the inherent pulse width modulation (PWM) content resulting from the modulated supply voltage and on the other hand the measurement of the resulting current ripple to estimate the rotor temperature through changes in the absolute value of the input impedance at PWM frequencies. This method, however, is only accurate if the current ripple is high enough.…”

Section: Introductionmentioning

confidence: 99%

Data‐driven online temperature compensation for robust field‐oriented torque‐controlled induction machines

Phuc

Vansompel

Bozalakov

et al. 2019

IET Electric Power Applications

View full text Add to dashboard Cite

Squirrel-cage induction machines (IMs) with indirect field-oriented control are widely used in industry and are frequently chosen for their accurate and dynamic torque control. During operation, however, temperature rises leading to changes in machine parameters. The rotor resistance, in particular, alters, affecting the accuracy of the torque control. The authors investigated the effect of a rotor resistance parameter mismatch in the control algorithm on the angular rotor flux misalignment and the subsequent deviation of stator currents and motor torque from their setpoints. Hence, an online, datadriven torque compensation to eliminate the temperature effect is proposed to enable robust torque-controlled IMs. A modelbased analysis and experimental mapping of the temperature effect on motor torque is presented. A temperature-torque lookuptable is subsequently implemented within the control algorithm demonstrating the ability to reduce the detrimental effect of temperature on torque control. Experimental results on a 5.5 kW squirrel-cage induction motor show that the proposed datadriven online temperature compensation method is able to reduce torque mismatch when compared to having no temperature compensation. Up to 17% torque mismatch is reduced at nominal torque and even up to 23% at torque setpoints that are lower than 20% of the nominal torque. A limited torque error of <1% remains in a broad operating range.

show abstract

“…This however considerably increases the sensor structure size, which can be impractical where the machine geometries of interest for monitoring such as the slot areas are concerned, and can compromise vital design parameters [20]. As a consequence of the constraints imposed by the winding construction and the sensor structure and its wiring, the sensing points in which TC and RTD sensors are applied in LVEMs are typically on end-windings and more rarely on winding surface of the slot section, and not in the winding centre where the highest temperature is located [21], [22]. Further general constraints to more effective RTD and TC application in safety critical electrical machinery are imposed by their intrinsic low electromagnetic interference (EMI) immunity and low resistance to harsh environmental conditions and long term deployment [23].…”

Section: Introductionmentioning

confidence: 99%

Stator Winding Internal Thermal Monitoring and Analysis Using In Situ FBG Sensing Technology

Mohammed

Djurović

2018

IEEE Trans. Energy Convers.

View full text Add to dashboard Cite

This paper reports a novel thermal monitoring scheme for on-line internal temperature measurement in lowvoltage random wound machine stator windings. The scheme is based on utilizing electrically nonconductive and electromagnetic interference immune fiber optic sensing technology embedded in close proximity of hot spots of interest to create a robust distributed thermal monitoring network within the machine windings. The key design and implementation features of the proposed system are presented and applied on a prototype mains-fed induction motor. The on-line thermal monitoring performance is examined in a number of typical continuous and periodic running duty tests, as defined by the relevant IEC standards for rating and performance of rotating electrical machines. It is shown that the presented scheme has the potential to provide competent on-line measurement of critical machine thermal hot spots that are largely beyond the effective reach of conventional thermal monitoring solutions. Furthermore, the proposed scheme underpins a higher fidelity understanding of the distribution and propagation of winding thermal stress, demonstrated by the experimental analysis reported in the paper.

show abstract

Estimator of the Rotor Temperature of Induction Machine Based on Terminal Voltages and Currents

Cited by 16 publications

References 25 publications

Fiber Optic Fiber Bragg Grating Sensing for Monitoring and Testing of Electric Machinery: Current State of the Art and Outlook

Fiber Optic Fiber Bragg Grating Sensing for Monitoring and Testing of Electric Machinery: Current State of the Art and Outlook

Data‐driven online temperature compensation for robust field‐oriented torque‐controlled induction machines

Stator Winding Internal Thermal Monitoring and Analysis Using In Situ FBG Sensing Technology

Contact Info

Product

Resources

About