Sensorless control for flux-switching permanent magnet machine based on sliding mode observer

Lian, Guoping; Song, Fuchuan; Chen, Biao

doi:10.1109/icems.2017.8056196

Cited by 2 publications

(8 citation statements)

References 16 publications

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“…6), in electric vehicles to improve flux regulation [35]. [34], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55].…”

Section: Figure 10mentioning

confidence: 99%

“…The salient features of PI controllers are summarized in Table 4. [34], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55] The conventional controllers for FSM obtain rotor position and speed information from position sensors like photoelectric encoders, which are expensive, prone to errors, and have TABLE 7. Specifications of FSPM [30].…”

Section: Figure 10mentioning

confidence: 99%

“…1) ROTOR ESTIMATOR [34], [42], [43], [44], [45], [46], [47], [48], [49], [50] The block diagram for the sensorless rotor position estimator (refer Fig. 8) shows that the rotor position has been estimated using estimation algorithms.…”

Section: B Sensorless Controllersmentioning

confidence: 99%

“…a: MODEL-BASED OBSERVER [42], [43], [44], [45], [46] Model-based observers can also be used as rotor position estimators. They estimate the rotor position from an ideal reference model.…”

Section: B Sensorless Controllersmentioning

confidence: 99%

“…implemented in [43], and a combination of SMO along with a PLL observer to improve the tracking time of speed in [44].SMO suffers from large-angle error (chattering effect) in the estimation of rotor position. So, Model Reference Adaptive System (MRAS) observers are used to estimate rotor position [45].…”

Section: Figure 18mentioning

confidence: 99%

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Review of Control Topologies for Flux Switching Motor

Merlyn

Lenin

2023

IEEE Access

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Flux switching Motor (FSM) was invented in the 19 th century but started gaining importance after 2000. The simple structure and moderate cost of FSM, in comparison with existing commutated Direct Current (DC) and Permanent Magnet Brushless Direct Current (PMBLDC) motors, have made it attractive for contemporary applications. Currently, FSM is employed in research applications like automobiles, domestic appliances, power generation, etc. To make FSM a viable candidate for these applications, modifications are made to the design, power converters, and control systems of FSM. This article comprehensively reviews the various control topologies adopted for FSM, which encompasses the control of torque and speed. Different control algorithms like 1) linear controllers, 2) sensorless techniques, 3) predictive controllers, and 4) optimization techniques are discussed extensively based on existing literature. Further, a case study is carried out using these control algorithms, and the simulation results are analyzed.

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“…6), in electric vehicles to improve flux regulation [35]. [34], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55].…”

Section: Figure 10mentioning

confidence: 99%

Section: Figure 10mentioning

confidence: 99%

Section: B Sensorless Controllersmentioning

confidence: 99%

“…a: MODEL-BASED OBSERVER [42], [43], [44], [45], [46] Model-based observers can also be used as rotor position estimators. They estimate the rotor position from an ideal reference model.…”

Section: B Sensorless Controllersmentioning

confidence: 99%