Self-Sensing via Flux Injection With Rapid Servo Dynamics Including a Smooth Transition to Back-EMF Tracking Self-Sensing

Flieh, Huthaifa; Slininger, Timothy; Lorenz, Robert D.; Totoki, Eigo

doi:10.1109/tia.2020.2970150

Cited by 16 publications

(24 citation statements)

References 22 publications

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“…Multiple carrier signal injection-based methods, such as pulsating vector and rotating vector injection, have been developed for the signal injection [12]. Other approaches, such as flux-injection tracking, multiple saliency-based position estimation, and rotor resistance-based position estimation, have also been shown to provide the accurate rotor position estimates [13], [14]. The low-speed injection-based methods and the high-speed back EMF-based sensing methods are generally combined to provide a wide speed range sensorless operation [13].…”

Section: A Background Of Sensorless Position Estimation Methodsmentioning

confidence: 99%

“…The resultant expression (11) can be simplified to give (12). Equation ( 12) can be integrated to give the field voltage created due to high-frequency current injection (13), where V inj = C fd−hf −1 I c /(ω e + ω c ). Equation ( 13) represents the high-frequency ac component of the field voltage measurement.…”

Section: A High-frequency Machine Modelmentioning

confidence: 99%

“…The speed estimate obtained using the position observer has a higher noise content, so a low-bandwidth position observer cascaded with the position observer is used for the speed estimate, as shown in Fig. 12 [13]. The high-frequency injection generates a voltage signal on the stator that can interact with the voltage regulation.…”

Section: A High-frequency Machine Modelmentioning

confidence: 99%

See 2 more Smart Citations

Sensorless Control of Separately Excited Synchronous Electrostatic Machines

Ghule¹,

Killeen

Ludois

2021

IEEE Trans. on Ind. Applicat.

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This article presents the analysis and demonstration of sensorless position estimation methodologies for separately excited synchronous electrostatic machines (SEMs). The torque density of the SEM comes at the cost of a high pole count (p >50) along with other enhancements. The high pole count makes the use of high-resolution position sensors necessary, driving up the cost of the system. The sensorless estimation of rotor position is seen as a solution for alleviating the need for high-resolution and high-cost position sensors. Key features of electrostatic machines that make them suitable for sensorless operation are identified. Back MMF (current) based rotor position sensing for medium to high speeds is investigated. High-frequency injection-based position estimation is investigated for zero and low-speed operating regions. The proposed methods are experimentally demonstrated using a current-source inverter-based drive platform.

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Section: A Background Of Sensorless Position Estimation Methodsmentioning

confidence: 99%

Section: A High-frequency Machine Modelmentioning

confidence: 99%

Section: A High-frequency Machine Modelmentioning

confidence: 99%

See 1 more Smart Citation

Sensorless Control of Separately Excited Synchronous Electrostatic Machines

Ghule¹,

Killeen

Ludois

2021

IEEE Trans. on Ind. Applicat.

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“…The momentum continued, and the nonlinear output regulation has been further explored by numerous authors including Cheng, Tarn, and Spurgeon [39], Khalil [40], and Wang and Huang [41] across autonomous and nonautonomous systems. The lineage emphasized in this manuscript stems from a heritage in vehicle guidance and control techniques [8][9][10][11][12][13][14][15][16] extended to apply to motor controllers [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] This manuscript proposes a preferred instantiation of adaptive and learning systems [28,29] by evaluating the efficacy of motor control techniques based on iterated computational rates and system discretization. The materials and methods in section 2 first describe model discretization and then introduces the two compared: one adaptive and one learning each with interconnected lineage of research in the literature.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Adaptive and Learning in Unmanned Systems

Koo¹,

Travis²,

Sands³

2022

Preprint

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This study determines the threshold for the computational rate of actuator motor controllers for unmanned underwater vehicles necessary to accurately follow discontinuous square wave commands. Motors must track challenging square-wave inputs, and identification of key computational rates permit application of deterministic artificial intelligence (D.A.I.) to achieve tracking to a machine-precision degree of accuracy in direct comparison to other state-of-art approaches. All modeling approaches are validated in MATLAB simulations where the motor process is discretized at varying step-sizes (inversely proportional to computational rate). At a large step-size (fast computational rate), discrete D.A.I. shows a mean error more than three times larger than that of a ubiquitous model-following approach. Yet, at a smaller step size (slower computational rate), the mean error decreases by a factor of 10, only three percent larger than that of continuous D.A.I. Hence, the performance of discrete D.A.I. is critically affected by the sampling period for discretization of the system equations and computational rate. Discrete D.A.I. should be avoided when small step-size discretization is unavailable. In fact, continuous D.A.I. has surpassed all modeling approaches which makes it the safest and most viable solution to future commercial applications in unmanned underwater vehicles.

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“…Electrification is progressing in automobiles and aircraft, and it is expected that the demand for increased motor efficiency will further increase [5][6][7]. Permanent magnet servomotors capable of accurate positioning and speed control are widely used in the industrial sector [8,9], and the demand for increased motor speed is increasing [10][11][12][13]. Therefore, the servomotor is required to reduce the losses associated with the high-speed rotation range and the high-torque range.…”

Section: Introductionmentioning

confidence: 99%

Reducing Rotor Temperature Rise in Concentrated Winding Motor by Using Magnetic Powder Mixed Resin Ring

et al. 2020

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The demand for high-speed servomotors is increasing, and minimal losses in both high-speed and high-torque regions are required. Copper loss reduction in permanent magnet motors can be achieved by configuring concentrated winding, but there are more spatial harmonics compared with distributed winding. At high-speed rotation, the eddy current loss of the rotor increases, and efficiency tends to decrease. Therefore, we propose a motor in which a composite ring made from resin material mixed with magnetic powder is mounted on the stator to suppress spatial harmonics. This paper describes three characteristic motor types, namely, open-slot motors, composite-ring motors, and closed-slot motors. Spatial harmonics are reduced significantly in composite-ring motors, and rotor eddy current loss is reduced by more than 50% compared with open-slot motors. Thermal analysis suggests that the saturation temperature rise value is reduced by more than 30 K. The use of a composite ring is effective in reducing magnet eddy current loss during high-speed rotation. Conversely, the torque characteristics in the closed-slot motor are greatly reduced as well as the efficiency. Magnetic circuits and simulations show that on electrical steel sheets with high relative permeability, the ring significantly reduces the torque flux passing through the stator, thus reducing the torque constant. To achieve reduced eddy current loss during high-speed rotation while ensuring torque characteristics with the composite ring, it is necessary to set the relative permeability and thickness of the composite ring according to motor specifications.

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Self-Sensing via Flux Injection With Rapid Servo Dynamics Including a Smooth Transition to Back-EMF Tracking Self-Sensing

Cited by 16 publications

References 22 publications

Sensorless Control of Separately Excited Synchronous Electrostatic Machines

Sensorless Control of Separately Excited Synchronous Electrostatic Machines

Evaluation of Adaptive and Learning in Unmanned Systems

Reducing Rotor Temperature Rise in Concentrated Winding Motor by Using Magnetic Powder Mixed Resin Ring

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