3-D Analytical Model and Direct Measurement Method of Ultra-Thin Open-Circuit Air-Gap Field of Interior Permanent Magnet Synchronous Motor With Multi-Segmented Skew Poles and Multi-Layered Flat Wire Windings for Electric Vehicle

2020 ◽  
Vol 35 (3) ◽  
pp. 1316-1326 ◽  
Author(s):  
Conggan Ma ◽  
Yuansheng An ◽  
Huichao Zhao ◽  
Shoulun Guo ◽  
Xiangrui Yin ◽  
...  
2013 ◽  
Vol 756-759 ◽  
pp. 627-631
Author(s):  
Zhao Jun Meng ◽  
Rui Chen ◽  
Yue Jun An

The position sensorless control method based on direct torque control was carried out aiming at the interior permanent magnet synchronous motor (IPMSM) in this paper. To the consideration of electric vehicle space is limited, in order to reduce the controller size to save space, this paper studied the sensorless control. Meanwhile, in order to improve the control rapidity as much as possible of the electric vehicle, take direct torque control as a control method of the driving motor. Finally, designed the sensorless direct torque controller and studied its simulation. Simulation results show that the control system have good dynamic and static characteristics in the full speed range.


Author(s):  
Qingyu Wang ◽  
Brian Pettinato ◽  
Eric Maslen

In a rotor-bearing system, there are usually some under- or unmodeled components, such as foundations and seals. Identifying the dynamic characteristics of these components often requires both an analytical model and test data due to the working conditions, such as running speed above the first bending mode and non-collocation measurements. The existing methods always identify the dynamic characteristics by solving the equations of motion at discrete frequencies of the measured frequency response functions (FRFs). They have two problems: first, the physical background of the identification is buried in the equation solving process, and second, there is no quality estimation of the identified result. This paper discusses the first problem which is the equation solving process. The second problem, quality estimation, is discussed in a subsequent paper [1]. This paper reveals that model-based identification is the interconnection of certain transfer functions. These transfer functions are either generated from an analytical model (the common model-based method), or directly measured (direct measurement method). The process of both these methods is then illustrated by use of experimental data. A novel seal test design is proposed based on the idea of the direct measurement method. Identification under complex situations is also considered as complementary to the main content, such as different input/output locations. The conditions for identifiability are given.


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