Abstract

The precise estimation of position is an essential concern for the control of a switched reluctance motor (SRM). Given the prominent role of position, the promising sensorless control approach for an SRM drive should be capable of providing accurate position. An inductance-based approach has been widely applied in the position estimation. However, the estimated accuracy suffers from the magnetic saturation effect, resulting in the poor performance of sensorless operation. This paper presents a reversible synchronization of commutation with the corresponding rotor position for SRM. With the consideration of magnetic saturation, the proposed approach is taken as a suitable candidate and plays an essential role in accommodating the requirement of optimal control. The relationship between a typical inductance position and magnetic circuit saturation is investigated. The instant of the intersections is sensed by comparing the instantaneous inductance of adjacent phases. Thus, the predicted position is obtained with the information of the special point and the calculated average speed. Compared with other existing methods, the proposed approach has the certain advantages, such as the ability to update the estimated speed and position six times per electrical period, which guarantees the estimated accuracy. The proposed approach is also valid even when the motor is operated at an acceleration state and heavy load operation. In addition, the requirement of the educated inductance structure is not unnecessary, less memory space is needed in the chip, and the accumulated error is eliminated. The simulation and experimental findings demonstrate the feasibility and practicality of the proposed position estimation approach with carrying out the inertial operation, load mutation, and high-speed test.

Highlights

  • Switched reluctance motor (SRM) is widely used due to its inherent features, such as high efficiency, robust structure, and fault tolerance [1,2,3]

  • The apparent distinction lies in the intersection position in the high-inductance area, which is calculated according to the polynomial fitting mathematical formula and cannot be separated from the real-time sampling current

  • A generalized position sensorless control strategy considering the magnetic saturation for an SRM drive system is proposed

Read more

Summary

Introduction

Switched reluctance motor (SRM) is widely used due to its inherent features, such as high efficiency, robust structure, and fault tolerance [1,2,3]. Voltage-pulse-injection-based methods are widely employed in the sensorless position estimation for low speed or standstill conditions. The redefined table will increase the burden of storage for the controller Another current gradient sensorless method employed for high-speed operation has been reported in Reference [13], which makes it possible that the motor is able to be operated at high-speed SRM with 100,000 rev/min. Unlike rotor previous position,studies, phase Reference current, and the incremental is investigated in Reference position [23] proposed an entire-speed-range sensorless strategy[23]. The magnetization inductance curve necessary to be Digital Signal (DSP) and takes up awith lot ofthe memory Based onofformer studies, this is thatinitthe provides a solution for precise estimation consideration magnetic saturation. − 1 phase incremental mutual inductance M – can be obtained using Equation (12): where the k − 1 phase incremental inductance Linck−1 can be obtained using Equation (11), and the dL M −1 can be obtained dM k ,k −1 k − 1 phase incremental mutual inductance using Equation (12):

Inductance
Illustration
Incremental
Typical
15 Mechanical
Estimation of
11. Measurement
13. Simulation
14. Simulation
15. Simulation
17. The speed speed
Results
Specification
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.