CN201467068U - Intelligent control device of AC linear induction motor - Google Patents
Intelligent control device of AC linear induction motor Download PDFInfo
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- CN201467068U CN201467068U CN2009200941067U CN200920094106U CN201467068U CN 201467068 U CN201467068 U CN 201467068U CN 2009200941067 U CN2009200941067 U CN 2009200941067U CN 200920094106 U CN200920094106 U CN 200920094106U CN 201467068 U CN201467068 U CN 201467068U
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Abstract
The utility model discloses an intelligent control device of an AC linear induction motor. The device comprises a DSPTMS320LF 2407 data signal processor, a D/A converter, a PWM controller, an IGBT inverter, an LIM linear motor and a current detecting unit, wherein the LIM linear motor is controlled by signals output by the DSPTMS320LF 2407 data signal processor through the D/A converter, the PWM controller and the IGBT inverter in sequence, and the current detecting unit is electrically connected with both the DSPTMS320LF 2407 data signal processor and the LIM linear motor respectively. The speed and flux linkage of the LIM linear motor is controlled by a self-regulating fuzzy controller which can regulate the quantitative and scaling factors thereof and the weights of two input variables according to the values of the input variables, thereby achieving the automatic regulation of fuzzy control as well as the function of optimization, and greatly improving the steady-state and dynamic performances of the device; and the speed, the rotor flux linkage and the electromagnetic thrust can be directly observed through observation models, thereby dispensing with sensors.
Description
Technical field
The utility model relates to a kind of control device of motor, particularly a kind of intelligence controlling device of AC linear induction machine.
Background technology
At present, linear motor has been applied to every field, for example the steel pipe conveyer of linear motor driving, conveyer, crane, stamping machine, lathe, various Electrically operated gate, motorized window, electronic weaving loom or the like.For the precision optical machinery manufacture field of linear motor driving, require the dynamic property of control system and steady-state behaviour index very high, adopt traditional control method can not satisfy the system process requirement.
Summary of the invention
The purpose of this utility model is can not satisfy the problem that the precision optical machinery manufacture field requires in order to solve traditional AC linear Control of Induction Motors mode, and provide a kind of intelligence controlling device of AC linear induction machine, this device adopts speed closed loop, the control strategy of rotor flux closed loop, its medium velocity and rotor flux adopt the self-adjusting fuzzy controller, this self-adjusting fuzzy controller can be adjusted the quantizing factor of fuzzy controller according to the size of input variable, the weight of scale factor and two input variables, thereby adjust fuzzy control rule automatically, have optimizational function; Fuzzy speed control has adopted adjusts the self-adjusting fuzzy controller that quantizing factor, scale factor and these two kinds of self-adjusting modes of input variable effect weight combine, the size that changes according to input variable error, error changes the weight of the parameter size of fuzzy controller and error, error variation effect, method of adjustment is calculated simple, is easy to realize online in real time control.
The utility model is by DSP TMS320LF2407 digital signal processor, D/A converter, the PWM controller, the IGBT inverter, the LIM linear electric motors, current detecting unit is formed, the signal that the DSPTMS320LF2407 digital signal processor sends passes through D/A converter successively, PWM controller and IGBT inverter control LIM linear electric motors, current detecting unit is electrically connected with DSPTMS320LF2407 digital signal processor and LIM linear electric motors respectively, current detecting unit detects the size of current of LIM linear electric motors, and numerical value is delivered in the DSP TMS320LF2407 digital signal processor.
Work of the present utility model and detection principle:
According to traditional linear electric motors principle of vector control, adopt the control strategy of speed closed loop, rotor flux closed loop, its medium velocity and rotor flux adopt the self-adjusting fuzzy controller, this adjuster can be adjusted the weight of quantizing factor, scale factor and two input variables of fuzzy controller according to the size of input variable, thereby adjust fuzzy control rule automatically, have optimizational function; Fuzzy speed control has adopted adjusts the self-adjusting fuzzy controller that quantizing factor, scale factor and input variable effect weight these two kinds of self-adjusting modes combine, and the size that changes according to input variable error, error changes the weight of the parameter size of fuzzy controller and error, error variation effect.Above self-regulating method, considered simultaneously each stage sum of errors error of system responses change to and the influence of parameter, and be the nonlinear function of error, compliance with system response process variation characteristic more, method of adjustment is calculated simple, is easy to realize that online in real time controls.
At first linear electric motors speed and the set-point to observation compares, the velocity deviation that is input as motor of the fuzzy speed control of self-adjusting and the variable quantity of deviation, and the output control variables is exactly the set-point of motor electromagnetic thrust through transformation calculations; The electromagnetic push controller is output as the current component of q axle, the deviation that is input as magnetic linkage of the fuzzy rotor flux controller of self-adjusting and the variable quantity of deviation, be output as the current component of d axle, the current component of the current component of q axle and d axle is through the input of conversion as current controller, the pulse duration of PWM controller is adjusted in current controller output, thereby control IGBT inverter is regulated motor speed. wherein, and speed observation, speed control, electromagnetic push observation, the electromagnetic push controller, links such as current controller are all realized by DSP TMS320LF2407 digital signal processor
The beneficial effects of the utility model are:
(1), speed and rotor flux adjuster adopt the self-adjusting fuzzy controller, with traditional PI control system relatively, the steady-state behaviour and the dynamic property of system improve greatly.
(2), speed, rotor flux, electromagnetic push adopts observation model directly to observe, and do not need sensor.
Description of drawings
Fig. 1 is a schematic diagram of the present utility model.
Fig. 2 is a connection diagram of the present utility model.
Embodiment
See also shown in Figure 2, present embodiment is by DSP TMS320LF2407 digital signal processor 1, D/A converter 2, PWM controller 3, IGBT inverter 4, LIM linear electric motors 5, current detecting unit 6 is formed, the signal that DSP TMS320LF2407 digital signal processor 1 sends is successively by D/A converter 2, PWM controller 3 and IGBT inverter 4 control LIM linear electric motors 5, current detecting unit 6 is electrically connected with DSP TMS320LF2407 digital signal processor 1 and LIM linear electric motors 5 respectively, current detecting unit 6 detects the size of current of LIM linear electric motors 5, and numerical value is delivered in the DSP TMS320LF2407 digital signal processor 1.In the present embodiment, the model of LIM linear electric motors 5 is xy1809B-4.5CU2.
See also shown in Figure 1, the work of present embodiment and detect principle:
According to traditional linear electric motors principle of vector control, adopt the control strategy of speed closed loop, rotor flux closed loop, its medium velocity and rotor flux adopt the self-adjusting fuzzy controller, this adjuster can be adjusted the weight of quantizing factor, scale factor and two input variables of fuzzy controller according to the size of input variable, thereby adjust fuzzy control rule automatically, have optimizational function; Fuzzy speed control has adopted adjusts the self-adjusting fuzzy controller that quantizing factor, scale factor and input variable effect weight these two kinds of self-adjusting modes combine, and the size that changes according to input variable error, error changes the weight of the parameter size of fuzzy controller and error, error variation effect.Above self-regulating method, considered simultaneously each stage sum of errors error of system responses change to and the influence of parameter, and be the nonlinear function of error, compliance with system response process variation characteristic more, method of adjustment is calculated simple, is easy to realize that online in real time controls.
At first linear electric motors speed and the set-point to observation compares, the velocity deviation that is input as motor of the fuzzy speed control of self-adjusting and the variable quantity of deviation, and the output control variables is exactly the set-point of motor electromagnetic thrust through transformation calculations; The electromagnetic push controller is output as the current component of q axle, the deviation that is input as magnetic linkage of the fuzzy rotor flux controller of self-adjusting and the variable quantity of deviation, be output as the current component of d axle, the current component of the current component of q axle and d axle is through the input of conversion as current controller, the pulse duration of PWM controller is adjusted in current controller output, thereby control IGBT inverter is regulated motor speed.Links such as wherein, speed observation, speed control, electromagnetic push observation, electromagnetic push controller, current controller are all realized by DSP TMS320LF2407 digital signal processor.
Claims (1)
1. the intelligence controlling device of an AC linear induction machine, it is characterized in that: be by the DSPTMS320LF2407 digital signal processor, D/A converter, the PWM controller, the IGBT inverter, the LIM linear electric motors, current detecting unit is formed, the signal that DSP TMS320LF2407 digital signal processor sends passes through D/A converter successively, PWM controller and IGBT inverter control LIM linear electric motors, current detecting unit is electrically connected with DSP TMS320LF2407 digital signal processor and LIM linear electric motors respectively, current detecting unit detects the size of current of LIM linear electric motors, and numerical value is delivered in the DSP TMS320LF2407 digital signal processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009200941067U CN201467068U (en) | 2009-08-03 | 2009-08-03 | Intelligent control device of AC linear induction motor |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009200941067U CN201467068U (en) | 2009-08-03 | 2009-08-03 | Intelligent control device of AC linear induction motor |
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| CN201467068U true CN201467068U (en) | 2010-05-12 |
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| CN2009200941067U Expired - Fee Related CN201467068U (en) | 2009-08-03 | 2009-08-03 | Intelligent control device of AC linear induction motor |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102004221A (en) * | 2010-08-26 | 2011-04-06 | 沈阳工业大学 | Reciprocal energy feeding test device for actuating mechanism of dual linear induction motors |
| CN102297584A (en) * | 2011-09-27 | 2011-12-28 | 台州学院 | Electrode control system for submerged arc furnace with position inner ring and current outer ring |
| CN103684194A (en) * | 2013-12-12 | 2014-03-26 | 深圳市大族激光科技股份有限公司 | Asynchronous-induction linear motor and method for driving asynchronous-induction linear motor |
| CN104730928A (en) * | 2015-04-14 | 2015-06-24 | 济南大学 | Method for controlling boiler water level of thermal power plant through fuzzy quantization factors |
| RU2637114C1 (en) * | 2016-11-03 | 2017-11-30 | Российская Федерация в лице Министерства промышленности и торговли Российской Федерации (Минпромторг России) | Linear asynchronous motor |
| CN114779619A (en) * | 2022-03-30 | 2022-07-22 | 哈尔滨工业大学 | Self-feedback type piezoelectric drive control method |
-
2009
- 2009-08-03 CN CN2009200941067U patent/CN201467068U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102004221A (en) * | 2010-08-26 | 2011-04-06 | 沈阳工业大学 | Reciprocal energy feeding test device for actuating mechanism of dual linear induction motors |
| CN102297584A (en) * | 2011-09-27 | 2011-12-28 | 台州学院 | Electrode control system for submerged arc furnace with position inner ring and current outer ring |
| CN103684194A (en) * | 2013-12-12 | 2014-03-26 | 深圳市大族激光科技股份有限公司 | Asynchronous-induction linear motor and method for driving asynchronous-induction linear motor |
| CN103684194B (en) * | 2013-12-12 | 2016-09-14 | 大族激光科技产业集团股份有限公司 | Asynchronous induction linear electric motors and the driving method of asynchronous induction linear electric motors |
| CN104730928A (en) * | 2015-04-14 | 2015-06-24 | 济南大学 | Method for controlling boiler water level of thermal power plant through fuzzy quantization factors |
| RU2637114C1 (en) * | 2016-11-03 | 2017-11-30 | Российская Федерация в лице Министерства промышленности и торговли Российской Федерации (Минпромторг России) | Linear asynchronous motor |
| CN114779619A (en) * | 2022-03-30 | 2022-07-22 | 哈尔滨工业大学 | Self-feedback type piezoelectric drive control method |
| CN114779619B (en) * | 2022-03-30 | 2022-11-01 | 哈尔滨工业大学 | Self-feedback type piezoelectric drive control method |
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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: 20100512 Termination date: 20100803 |