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永磁球形电机基于模型以及物理场的设计、传感和控制

全新正版极速发货

45.38 3.5折 128 全新

库存2件

广东广州

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作者白坤,李国民

出版社华中科技大学出版社

ISBN9787568039024

出版时间2019-01

装帧精装

开本16开

定价128元

货号1202026099

上书时间2024-05-31

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商品详情

品相描述：全新

商品描述: 目录
CHAPTER 1 INTRODUCTION/1

1.1Background/1

1.2The State of the Art/3

1.21 Marnetic Modeling and Analysis/6

1.22 Orientation Sensing/8

1.23 Control Methods/10

1.3 Book Outline/12

PART I MODELLING METHODS FOR PMSMS/21

CHAPTER 2 General Formulation OF PMSMs/21

2.1 PMSM Electromagnetic System Modeling/21

2.1.1 Governing Equations of Electromagnetic Field/21

2.1.2 Boundary Condition/24

2.1.3 Magnetic Flux Linkage and Energy/25

2.1.4 Magnetic Force/Torque/26

2.2 PMSM Rotor Dynamic /27

References/30

CHAPTER 3 Distributed Multi-Pole Models/31

3.1 Distributed Multi-Pole Model for PMs/31

3.1.1 PM Field with DMP Model/32

3.1.2 Numerical Illustrative Examples/35

3.2 Distributed Multi-Pole Model for EMs/43

3.2.1 Equivalent Magnetization of the ePM/45

3.2.2 Illustrations of Magnetic Field Computation/47

3.3 Dipole Force/Torque Model/47

3.3.1 Force and Torque on a Magnetic Dipole/47

3.3.2 Illustration of Magnetic Force Computation/49

3.4 Image Method with DMP Models/52

3.4.1 Image Method with Spherical Grounded Boundary/53

3.4.2 Illustrative Examples/56

3.4.3 Effects of Iron Boundary on the Torque/58

3.5 Illustrative Numerical Simulations for PMSM Design/62

3.5.1 Pole Pair Design/65

3.5.2 Static Loading Investigation/70

3.5.3 Weight-Compensating Regulator/71

References/79

CHAPTER 4 PMSM Force/Torque Model for Real-Time Control/81

4.1 Force/Torque Formulation/81

4.1.1 Magnetic Force/Torque Based on The Kernel Functions/82

4.1.2 Simplified Model: Axis-Symmetric EMs/PMs/85

4.1.3 Inverse Torque Model/86

4.2 Numerical Illustrations/86

4.2.1 Axis-Asymmetric EM/PMs/86

4.2.2 Axis-Symmetric EM/PM/90

4.3 Illustrative PMSM Torque Modelling /93

PART II SENSING Methods

CHAPTER 5 Field-Based Orientation Sensing/99

5.1 Coordinate Systems and Sensor Placement/99

5.2 Field Mapping and Segmentation/100

5.3 Artifi Neural Network Inverse Map/102

5.4 Experimental Investigation/103

5.4.1 2-DOF Concurrent Characterization/104

References/107

CHAPTER 6 A Back-EMF Method for Multi-DOF Motion Detection/109

6.1 Back-EMF for Multi-DOF Motion Sensing/109

6.1.1 EMF Model in a Single EM-PM pair/111

6.1.2 Back-EMF with Multiple EM-PM pairs/112

6.2 Implementation of Back-EMF Method on a PMSM/114

6.2.1 Mechanical and Magnetic Structure of the PMSM/115

6.2.2 Numerical Solutions for the MFL Model/116

6.2.3 Experiment and Discussion/118

6.2.4 Parameter Estimation of the PMSM with back-EMF Method/120

References/122

PART III CONTROL METHODS

CHAPTER 7 Direct Field-Feedback Ccontrol/125

7.1 Traditional Orientation Control Method for Spherical Motors/125

7.1.1 PD Control Law and Stability Analysis/126

7.1.2 Comments on Implementation of Traditional Control Methods/127

7.2 Direct Field-Feedback Control/128

7.2.1 Determination of Bijective Domain/129

7.2.2 DFC Control Law and Control Parameter Determination/129

7.2.3 DFC with Multi-sensors/130

7.3 Numerical 1-DOF Illustrative Example/131

7.3.1 Sensor Design and Bijective Domain Identification/131

7.3.2 Field-based Control Law/133

7.3.3 Numerical Illustrations of Multiple Bijective Domains/135

7.4 Experimental Investigation of DFC for 3-DOF PMSM/135

7.4.1 System Description/135

7.4.2 Sensor Design and Bijective Domains/138

7.4.3 Bijective domain/139

7.4.4 TCV Computation Using Artifi Neural Network (ANN)/142

7.4.5 Experimental Investigation/142

References/150

CHAPTER 8 A Two-mode PMSM for Haptic Applications/151

8.1 Description of the PMSM Haptic Device/151

8.1.1 Two-mode configuration Design for 6-DOF Manipulation/153

8.1.2 Numerical Model for Magnetic Field/Torque Computation/154

8.1.3 Field-based TCV Estimation/155

8.2 Snap-Fit Simulation/156

8.2.1 Snap-Fit Performance Analyses/158

8.2.2 Snap-Fit Haptic Application/159

References/164

内容摘要
This book introduces and illustrates modeling, sensing, and control methods for analyzing, designing, and developing spherical motors. It systematically presents modelsfor establishing the relationships among the magnetic fields position/orientation and force/torque, while also providing time-efficient solutions to assist researchers and engineers in studying and developing these motors. In order to take full advantage of spherical motors’ compact structure in practical applications, sensing and control methods that utilize their magnetic fields and eliminate the need to install external sensors for feedback are proposed. Further, the book investigates for the first time spherical motors’force/torque manipulation capability, and proposes algorithms enabling the ball-joint-like end-effector for haptic use based on these motors’hybrid position/force actuation modes. While systematically presenting approaches to their design, sensing and control, the book also provides many examples illustrating the implementation issues readers may encounter.

主编推荐
Rapid advances of intelligent machines for amsrt manufacturing equipment,driverless vehicles,robotics,and medical industries continue to motivate new designs and app;ocations of multi-degree-of-freedom(DOF) actuators capable of complex motion and precise force/torque manipulations to complete tasks that have never been automated before.Extensive efforts to develop novel actuators with compact designs and designs and dexterous manipulations can be found in both academic research and indusrial development.Unlike multi-DOF systems with designs based on bulky serial/parallel combinations cf single-axis spin motors and transmission mechanisms,spherical motors/actuators are direct-drive and can achieve multi-DOF rotational motions in a single ball joint,because of these attractive features,along with the structural simplicity and the capability to achieve quick singularity-free motion,spherical motors are expected to play a significant role in the developmet of intelligent machines.