CN109036810A - A kind of transformer active noise denoising device and control method - Google Patents
A kind of transformer active noise denoising device and control method Download PDFInfo
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- CN109036810A CN109036810A CN201811086533.0A CN201811086533A CN109036810A CN 109036810 A CN109036810 A CN 109036810A CN 201811086533 A CN201811086533 A CN 201811086533A CN 109036810 A CN109036810 A CN 109036810A
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- noise
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
- H01F27/00—Details of transformers or inductances, in general
- H01F27/33—Arrangements for noise damping
Abstract
The present invention relates to a kind of transformer active noise denoising device and control methods, the technical problem that inhibition accuracy existing in the prior art is low, effect is poor, intelligence is low is mainly solved, the present invention includes Noise Acquisition device, controller, the filter positioned at controller front end and the secondary noise source of distribution setting by using denoising device；The filter is digital tuning filter；The Noise Acquisition device includes primary noise sensor and error pick-up, the primary noise sensor and error pick-up pass through wireless communication unit respectively and connect with controller, and the error pick-up is for detecting secondary noise source signal and primary noise signal feedback to controller；The denoising device further includes the wireless communication unit connecting with denoising device, and the technical solution for the mobile controlling terminal connecting with wireless communication unit, preferably resolves the problem, be can be used in transformer active noise noise reduction.
Description
The application be on 04 18th, 2017, application No. is 201710251150.3, entitled one kind the applying date
The divisional application of the Chinese patent application of transformer active noise denoising device and control method.
Technical field
The present invention relates to transformer noise reduction field, it is related specifically to a kind of transformer active noise denoising device and control
Method.
Background technique
With the increase of China's economic development and power demand, large-capacity power transformer gos deep into load center, causes to become
Nearby noise slightly increases in power station, seriously affects the normal life of nearby residents.It is necessary to adopt for electric system and transformer manufacturing
Take scientific and reasonable measure, the noise of control transformer especially outdoor transformer.The low frequency characteristic of transformer noise makes tradition
Passive noise reduction technology effect it is unobvious and at high cost.Active noise suppression technology is used, the basic principle is that using secondary
Grade noise source is cancelled out each other with former noise source, has reached the purpose for reducing noise.
Existing active noise suppressor mainly inhibits transformer noise using the second noise source of control, deposits
In the not high disadvantage of intelligence degree.Therefore the transformer active noise noise reduction that a kind of intelligence degree is high, monitors on-line is provided
Device and control method are with regard to necessary.
Summary of the invention
That the technical problem to be solved by the present invention is to intelligence degrees existing in the prior art is low, accuracy is low asks
Topic.A kind of new transformer active noise denoising device is provided, which has intelligence degree
It is high, accuracy is high, the characteristics of capable of monitoring on-line.
In order to solve the above technical problems, the technical solution adopted is as follows:
A kind of transformer active noise denoising device, the denoising device include Noise Acquisition device, controller, are located at
The filter of controller front end and the secondary noise source of distribution setting；The controller passes through D/A conversion module, power amplifier list
Member is connect with secondary noise source；The filter is digital tuning filter, and the digital tuning filter includes fixed electricity
Sense, capacitance tuning unit, the capacitance tuning unit include 8 output branches, and digital tuning filter further includes and capacitor tune
The capacitor C1-C8 that 8 branches of humorous unit are separately connected, the capacitance tuning unit are also connect with controller；The Noise Acquisition
Device includes primary noise sensor and error pick-up, and the primary noise sensor and error pick-up pass through nothing respectively
Line communication unit is connect with controller, and the error pick-up is for detecting secondary noise source signal and primary noise
Signal is fed back to controller；The denoising device further includes the wireless communication unit connecting with denoising device, and with it is wireless
The mobile controlling terminal of communication unit connection.
The working principle of the invention:, can be more accurately to transformer noise by the secondary noise source of distribution setting
Carry out comprehensive noise suppressed.Primary noise sensor, error pick-up and control are used for by setting wireless communication unit
The connection of device.By using digital tuning filter, the AF panel needs of low-loss, frequency range are capable of providing, it can be further
Increase the accuracy of active noise suppressor.By the way that the mobile controlling terminal connecting with wireless communication unit is arranged, can solve
Certainly intelligent monitoring and demand for control.
In above-mentioned technical proposal, for optimization, further, the wireless communication unit includes wireless transmitting unit, with nothing
The corresponding radio receiving unit of line transmitting unit parameter.
Further, the wireless transmitting unit and radio receiving unit include GPS/WIFI two-band communication unit.
The present invention also provides a kind of control methods based on transformer active noise denoising device, comprising:
(1) primary noise sensor acquisition transformer noise signal x (n), the x after noise is taken out using morphology mode
' (n) is inputted as controller reference signal；
(2) controller calculates secondary signal y (n) for driving secondary noise source；
(3) error pick-up acquires transformer noise and secondary noise source noise simultaneously, by improving particle filter method
Error signal e (n) feedback arrives controller；
(4) controller changes secondary signal y (n) by adaptive algorithm, and secondary noise source output noise is made to make an uproar with primary
Sound source noise amplitude is identical, frequency is identical, opposite in phase.
Control method provided by the invention mainly by being acquired to transformer noise, is then input to controller, controls
Device processed by control output signal secondary noise source is controlled, secondary noise source result from transformer noise frequency it is identical,
Amplitude is identical, opposite in phase voice signal is for offsetting transformer noise.Meanwhile error pick-up acquires secondary noise source
Output and transformer noise carry out feedback processing to the two, optimize iteration by improving grain wavelet algorithm, and then to control
The reference signal of device processed optimizes, and controls controller output signal, changes the noise output in secondary noise source, and then at any time
Transformer noise variation is tracked, offsets transformer noise in real time, achievees the purpose that inhibit active noise.
In above scheme, further include: in improvement particle filter method in the step (3) for optimization
(a) transformer noise and secondary noise source noise are acquired by primary noise sensor, if transformer noise parameter
Error with secondary noise source noise parameter is target, establishes state transition model and observing and nursing:
xk=f (xk-1,uk)
zk=h (xk-vk)
By first-order autoregressive equation as state shift module: xk=Axk-1+uk；
(b) the kth moment, according to the particle collection of step (1) the state transition equation evolution last momentAnd
Acquire current time particle collection
(c) target area determined by each particle is calculatedParticle is measured by BShi Coefficient Algorithm
Model HiWith object module H0Between similitude:
The observation probability of particle is calculated according to BShi coefficient:
(d) particle weight is calculated according to particle observation probabilityIt calculates particle and normalizes weight
(e) dbjective state is estimated according to least-mean-square-error criterion
Wherein, xkFor dbjective state, zkFor observation, uk、vkThe respectively process noise of the zero-mean in independent ventilation portion
And observation noise, σ are gaussian density standard deviation, A is state-transition matrix.
Further, the control method further includes using method for resampling:Again it adopts
One group of particle of sample
Return step (c).
Further, the step (e) further includes judging particle sample value size, weakens particle large sample value.
Further, adaptive algorithm is FxLMS algorithm in the step (4).
The present invention completes data iteration and optimization by BShi Coefficient Algorithm, and BShi Coefficient Algorithm measures target and candidate regions
Similitude between characteristic of field model, the BShi coefficient peak value in analytic explanation region so that particle wave track algorithm be used for
The variation of track transformer noise, meanwhile, sample degeneracy, further uses the vigor of the method remuneration particle of resampling in order to prevent.
Wherein, controller uses adaptive algorithm by reference to the algorithm of signal control output signal, it is preferable that FxLMS algorithm effect
Add.On the other hand, it in order to eliminate interference of the big noise signal for algorithm, is handled, is changed by the peak clipping to big sample of signal value
Kind interference resistance.
Beneficial effects of the present invention:
Effect one increases accuracy and effect that active noise inhibits；
Effect two, improves ease of use；
Effect three, improves anti-interference ability.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1, active noise suppressor schematic diagram.
Fig. 2, active noise suppressor control method flow diagram.
Fig. 3, digital tuning filter schematic.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to this hair
It is bright to be further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, not
For limiting the present invention.
The present embodiment provides a kind of transformer active noise denoising device, such as Fig. 1, the denoising device includes that noise is adopted
Acquisition means, controller, the filter positioned at controller front end and the secondary noise source of distribution setting；The controller passes through
D/A conversion module, power amplifier unit and secondary noise source connect；Such as Fig. 3, the filter is digital tuning filter, the number
Word tuned filter includes fixed inductance, capacitance tuning unit, and the capacitance tuning unit includes 8 output branches, and number is adjusted
Humorous filter further includes the capacitor C1-C8 being separately connected with 8 branches of capacitance tuning unit, the capacitance tuning unit also with
Controller connection；The Noise Acquisition device includes primary noise sensor and error pick-up, the primary noise sensor
And error pick-up passes through wireless communication unit respectively and connect with controller, the error pick-up is for detecting secondary noise
Source signal and primary noise signal are fed back to controller；The denoising device further includes the nothing connecting with denoising device
Line communication unit, and the mobile controlling terminal being connect with wireless communication unit.
The workflow of the present embodiment: it by the secondary noise source of distribution setting, can more accurately make an uproar to transformer
Sound carries out comprehensive noise suppressed.Primary noise sensor, error pick-up and control are used for by setting wireless communication unit
The connection of device processed.By using digital tuning filter, the AF panel needs of low-loss, frequency range are capable of providing, it can be into one
Step increases the accuracy of active noise suppressor.It, can by the way that the mobile controlling terminal connecting with wireless communication unit is arranged
Solve intelligent monitoring and demand for control.
Preferably, the wireless communication unit includes wireless transmitting unit, corresponding with wireless transmitting unit parameter wireless
Receiving unit.
For the stability and applicability for improving wireless communication mode, it is preferable that the wireless transmitting unit and wireless receiving
Unit includes GPS/WIFI two-band communication unit.
The present embodiment also provides a kind of control method based on transformer active noise denoising device, such as Fig. 2, comprising:
(1) primary noise sensor acquisition transformer noise signal x (n), the x after noise is taken out using morphology mode
' (n) is inputted as controller reference signal；
(2) controller calculates secondary signal y (n) for driving secondary noise source；
(3) error pick-up acquires transformer noise and secondary noise source noise simultaneously, by improving particle filter method
Error signal e (n) feedback arrives controller；
(4) controller changes secondary signal y (n) by adaptive algorithm, and secondary noise source output noise is made to make an uproar with primary
Sound source noise amplitude is identical, frequency is identical, opposite in phase, and adaptive algorithm is FxLMS algorithm.
It is improved in particle filter method in the step (3) and includes:
(a) transformer noise and secondary noise source noise are acquired by primary noise sensor, if transformer noise parameter
Error with secondary noise source noise parameter is target, establishes state transition model and observing and nursing:
xk=f (xk-1,uk)
zk=h (xk-vk)
By first-order autoregressive equation as state shift module: xk=Axk-1+uk；
(b) the kth moment, according to the particle collection of step (1) the state transition equation evolution last momentAnd
Acquire current time particle collection
(c) target area determined by each particle is calculatedParticle is measured by BShi Coefficient Algorithm
Model HiWith object module H0Between similitude:
The observation probability of particle is calculated according to BShi coefficient:
(d) particle weight is calculated according to particle observation probabilityIt calculates particle and normalizes weight
(e) dbjective state is estimated according to least-mean-square-error criterionJudge particle sample value size, cuts
Weak particle large sample value；
(f) method for resampling is used:One group of particle of resampling
Return step (c).
Wherein, xkFor dbjective state, zkFor observation, uk、vkThe respectively process noise of the zero-mean in independent ventilation portion
And observation noise, σ are gaussian density standard deviation, A is state-transition matrix.
Although the illustrative specific embodiment of the present invention is described above, in order to the skill of the art
Art personnel are it will be appreciated that the present invention, but the present invention is not limited only to the range of specific embodiment, to the common of the art
For technical staff, as long as long as various change the attached claims limit and determine spirit and scope of the invention in,
All are using the innovation and creation of present inventive concept in the column of protection.
Claims (10)
1. a kind of transformer active noise denoising device, including Noise Acquisition device, controller, filter, secondary noise source, institute
It states filter and is located at the controller front end, the secondary noise source distribution setting.
2. a kind of transformer active noise reducing device according to claim 1, further includes the channel radio connecting with denoising device
Unit is interrogated, the wireless communication unit includes wireless transmitting unit, radio receiving unit corresponding with wireless transmitting unit parameter.
3. a kind of transformer active noise reducing device according to claim 2, wherein the wireless transmitting unit with wirelessly connect
Receiving unit includes GPS/WIFI two-band communication unit.
4. a kind of transformer active noise reducing device according to claim 1, wherein the controller passes through D/A modulus of conversion
Block, power amplifier unit and secondary noise source connect.
5. a kind of transformer active noise reducing device according to claim 1, wherein the filter is digital tuning filtering
Device, the digital tuning filter include fixed inductance, capacitance tuning unit.
6. according to claim, a kind of transformer active noise reducing device described in 5, wherein the capacitance tuning unit includes 8
Export branch.
7. a kind of transformer active noise reducing device according to claim 6, wherein the digital tuning filter further includes
The capacitor C1-C8 being separately connected with 8 output branches of the capacitance tuning unit.
8. a kind of transformer active noise reducing device according to claim 5, wherein the capacitance tuning unit also with control
Device connection.
9. a kind of transformer active noise reducing device according to claim 1, wherein the Noise Acquisition device includes primary
Noise transducer and error pick-up, the primary noise sensor and error pick-up pass through wireless communication unit and control respectively
Device connection processed, the error pick-up is for detecting secondary noise source signal and primary noise signal feedback to control
Device.
10. a kind of transformer active noise reducing device according to claim 2, further includes the shifting connecting with wireless communication unit
Dynamic controlling terminal.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811086533.0A CN109036810B (en) | 2017-04-18 | 2017-04-18 | Transformer active noise reduction device and control method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710251150.3A CN106910606B (en) | 2017-04-18 | 2017-04-18 | A kind of transformer active noise denoising device and control method |
| CN201811086533.0A CN109036810B (en) | 2017-04-18 | 2017-04-18 | Transformer active noise reduction device and control method |
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| CN201710251150.3A Division CN106910606B (en) | 2017-04-18 | 2017-04-18 | A kind of transformer active noise denoising device and control method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113189420A (en) * | 2021-04-14 | 2021-07-30 | 北京中大科慧科技发展有限公司 | Power distribution detection device for data center |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108828946B (en) * | 2018-07-06 | 2021-04-27 | 合肥工业大学 | Self-adaptive control method for damping and noise reduction of rocket fairing |
| CN114252797B (en) * | 2021-12-17 | 2023-03-10 | 华中科技大学 | Uncertainty estimation-based lithium battery remaining service life prediction method |
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| CN101819766A (en) * | 2010-01-15 | 2010-09-01 | 浙江万里学院 | Multi-channel active noise control method for abating noises |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN109036810B (en) | 2020-12-29 |
| CN106910606A (en) | 2017-06-30 |
| CN106910606B (en) | 2019-02-15 |
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