CN201674449U - Switched reluctance motor - Google Patents
Switched reluctance motor Download PDFInfo
- Publication number
- CN201674449U CN201674449U CN2010201846325U CN201020184632U CN201674449U CN 201674449 U CN201674449 U CN 201674449U CN 2010201846325 U CN2010201846325 U CN 2010201846325U CN 201020184632 U CN201020184632 U CN 201020184632U CN 201674449 U CN201674449 U CN 201674449U
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- China
- Prior art keywords
- switched reluctance
- controller
- genetic algorithm
- current sensor
- reluctance machines
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
Abstract
The utility model discloses a switched reluctance motor, which is characterized by comprising a switched reluctance electric motor optimized and controlled via genetic algorithm, a power converter, a controller, a position sensor and a current sensor. An output end of the controller is connected with an input end of the power converter, the power converter is respectively connected with the current sensor and the switched reluctance electric motor optimized and controlled via genetic algorithm, the switched reluctance electric motor optimized and controlled via genetic algorithm is connected with the position sensor, the current sensor and the position sensor are further connected with the controller to feed back information to the controller, and the position sensor is an angular displacement sensor. The switched reluctance motor has the advantages of fine speed adjustment performance, simple and firm structure, high efficiency, low cost and wider application.
Description
Technical field
The utility model belongs to electrical engineering and electronic technology field, relates to a kind of switched reluctance machines.
Background technology
For a long time, Chinese scholars has been carried out a large amount of research to the emulation and the control thereof of SR motor model, yet the body optimal design of SR motor is lacked enough attention, relate to lessly, do not form complete SR motor body optimizing design scheme and development platform as yet.Therefore, utilize genetic algorithm that the SR motor body is optimized design and have important theory value and realistic meaning.
The utility model content
The utility model is with a wide range of applications with its strong competitor who adjusts good, simple in structure firm, characteristics become ac variable frequency speed regulation, the brshless DC motor system such as efficient is high, cost is low of performance.
The utility model is to solve the problems of the technologies described above the technical scheme that is adopted to be:
A kind of switched reluctance machines is characterized in that, comprises switched reluctance machines, power inverter, controller, position transducer and the current sensor of genetic algorithm optimization control.The output of described controller connects the input of power inverter, the output of described power inverter connects the switched reluctance machines of current sensor and genetic algorithm optimization control respectively, the output of the switched reluctance machines of described genetic algorithm optimization control links to each other with position transducer, the output of described current sensor and position transducer links to each other with controller, gives controller with feedback information.
Described position transducer is an angular displacement sensor.
The beneficial effects of the utility model have:
The utility model global optimization performance is good, at alternating current machine, has obtained successful application in the body optimal design of motors such as brshless DC motor, has obtained good effect.Can effective energy savings.
Description of drawings
Fig. 1 is the general structure schematic diagram of the utility model embodiment 1.
Embodiment
The utility model is described in further detail below in conjunction with the drawings and specific embodiments.
Embodiment 1:
As shown in Figure 1, switched reluctance machines comprises switched reluctance machines, power inverter, controller, angular displacement sensor and the current sensor of genetic algorithm optimization control.The output of described controller connects the input of power inverter, the output of described power inverter connects the switched reluctance machines of current sensor and genetic algorithm optimization control respectively, the output of the switched reluctance machines of described genetic algorithm optimization control links to each other with angular displacement sensor, the output of described current sensor and angular displacement sensor links to each other with controller, gives controller with feedback information.
The switched reluctance machines of described genetic algorithm optimization control is parts of realizing energy converting between mechanical; Described power inverter is the passage of energy delivery, provides running required energy by it to the switched reluctance machines of genetic algorithm optimization control; Described controller is the maincenter of system, the feedback information of integrated treatment speed command, feedback speed signal and current sensor, position transducer, the operating state of main switching device in the power controlling converter, thus the control winding current reaches the purpose of controlling motor torque and rotating speed; Described position transducer sends the rotor position information that obtains to controller, to be switched on or switched off corresponding phase winding in the suitable moment; Described current sensor mainly is the adjusting that is used for realizing rotating speed, makes main switch element avoid the damage of overcurrent.
This device operation principle is as follows: provide running required energy by power inverter to the switched reluctance machines of genetic algorithm optimization control, by the powered by direct current that obtains after storage battery or the AC rectification, also can be with the discouraged telegram in reply of the magnetic field energy source in the switched reluctance machines of genetic algorithm optimization control.The feedback information of the instruction of controller synthesis processing speed, feedback speed signal and current sensor, angular displacement sensor, the operating state of main switch device in the power controlling converter, thus the control winding current reaches the purpose of controlling motor torque and rotating speed.Change the conducting order of each phase winding of motor, i.e. the may command motor steering.Winding current is deferred to inductance decline district, and motor can be realized braking or generator operation.Angular displacement sensor can be known the instantaneous position of motor at the running rotor at any time, and controller is switched on or switched off corresponding phase winding by the rotor position information that obtains from angular displacement sensor in good time, measures rotating speed simultaneously, realizes speed closed loop control.When motor runs on the copped wave working method, need be by regulating the adjusting that realizes rotating speed around the amplitude of organizing electric current mutually, also in order to make main switch element exempt from the damage of overcurrent, this just sends controller to by current sensor and handles simultaneously.
Claims (2)
1. a switched reluctance machines is characterized in that, comprises the switched reluctance machines of genetic algorithm optimization control, power inverter, controller, position transducer and current sensor; The output of described controller connects the input of power inverter, the output of described power inverter connects the switched reluctance machines of current sensor and genetic algorithm optimization control respectively, the output of the switched reluctance machines of described genetic algorithm optimization control links to each other with position transducer, the output of described current sensor and position transducer links to each other with controller again, gives controller with feedback information.
2. a kind of switched reluctance machines as claimed in claim 1 is characterized in that, described position transducer is an angular displacement sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010201846325U CN201674449U (en) | 2010-05-11 | 2010-05-11 | Switched reluctance motor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010201846325U CN201674449U (en) | 2010-05-11 | 2010-05-11 | Switched reluctance motor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201674449U true CN201674449U (en) | 2010-12-15 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010201846325U Expired - Fee Related CN201674449U (en) | 2010-05-11 | 2010-05-11 | Switched reluctance motor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN201674449U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103414407A (en) * | 2013-04-25 | 2013-11-27 | 宋社民 | A switched reluctance motor control system apparatus and control method thereof |
| CN108900132A (en) * | 2018-06-29 | 2018-11-27 | 南京理工大学 | Switch reluctance motor control method based on genetic algorithm and torque partition function |
| CN111973063A (en) * | 2020-07-10 | 2020-11-24 | 湖南工程学院 | Floor furniture waxing device |
-
2010
- 2010-05-11 CN CN2010201846325U patent/CN201674449U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103414407A (en) * | 2013-04-25 | 2013-11-27 | 宋社民 | A switched reluctance motor control system apparatus and control method thereof |
| CN108900132A (en) * | 2018-06-29 | 2018-11-27 | 南京理工大学 | Switch reluctance motor control method based on genetic algorithm and torque partition function |
| CN111973063A (en) * | 2020-07-10 | 2020-11-24 | 湖南工程学院 | Floor furniture waxing device |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20101215 Termination date: 20110511 |