CN106504740A - A kind of reduction method and its device - Google Patents
A kind of reduction method and its device Download PDFInfo
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- CN106504740A CN106504740A CN201611050719.1A CN201611050719A CN106504740A CN 106504740 A CN106504740 A CN 106504740A CN 201611050719 A CN201611050719 A CN 201611050719A CN 106504740 A CN106504740 A CN 106504740A
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- signal
- error
- noise signal
- noise
- reference signal
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/10—Applications
- G10K2210/125—Transformers
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- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
- Circuit For Audible Band Transducer (AREA)
Abstract
The invention discloses a kind of reduction method, including periodically gathering current error noise signal;Error noise signal is current primary noise signal and secondary noise signal sum;Using error noise signal as the reference signal of Repetitive controller internal model, Repetitive controller is carried out to reference signal, secondary signal is obtained;Secondary signal is carried out electro acoustic conversion process, secondary noise signal is sent.The present invention error noise signal is processed using Repetitive controller mode, obtain secondary noise signal, it is not necessary to consider weight coefficient iteration and constringency performance the problems such as, algorithm is simple, it is easy to accomplish.The invention also discloses a kind of active noise reducing device, is realized using said method, it may have above-mentioned advantage, be will not be described here.
Description
Technical field
The present invention relates to noise management technique field, more particularly to a kind of reduction method and its device.
Background technology
Transformer noise is widely present in around the productive life of people, widely studied at this stage Active noise control using skill
Art can efficiently control transformer low frequency noise.Active noise control using refers to that artificially generation secondary noise goes to offset original noise
A kind of method, the ultimate principle of Active noise control using is, according to the sound wave of two row same frequencys, opposite in phase, destructive to occur
Interfere.
Current reduction method be typically all using based on minimum mean square error criterion, criterion of least squares etc. from
Adaptive algorithm, but noise reduction system needs to take into account stability, weight coefficient iteration and convergence rate when from adaptive algorithm
Deng factors, algorithm complexity is high.
Therefore, how to provide a kind of reduction method being easily achieved and its device is that those skilled in the art need at present
Problem to be solved.
Content of the invention
It is an object of the invention to provide a kind of reduction method and its device, using Repetitive controller mode to error noise
Signal is processed, and obtains secondary noise signal, and algorithm is simple, it is easy to accomplish.
For solving above-mentioned technical problem, the invention provides a kind of reduction method, including:
Current error noise signal is periodically gathered;The error noise signal be current primary noise signal with secondary
Level noise signal sum;
Using the error noise signal as the reference signal of Repetitive controller internal model, the reference signal is carried out repeating to control
System, obtains secondary signal;
The secondary signal is carried out electro acoustic conversion process, secondary noise signal is sent.
Preferably, described Repetitive controller is carried out to the reference signal, the process for obtaining secondary signal is specially:
Bring reference signal e (z) into repetition internal model control relational expression, obtain the total error signal e in this cycle0
Z (), wherein, the repetition internal model control relational expression is specially:
e0(z)=e (z)+e (z) Q (z) z-N;
Q (z) is predetermined constant,T0For the cycle of fundamental frequency signal in the reference signal, TsFor described with reference to letter
Number sampling period, N is positive integer;
The total error signal is carried out reverse process, the bias contribution signal after obtaining reversely;
Low-pass filtering treatment is carried out to the bias contribution signal, the secondary signal is obtained.
For solving above-mentioned technical problem, present invention also offers a kind of active noise reducing device, including:
Error pick-up, for periodically gathering current error noise signal;The error noise signal is current
Primary noise signal and secondary noise signal sum;
Controller, believes as the reference signal of Repetitive controller internal model to the reference for using the error noise signal
Number Repetitive controller is carried out, obtain secondary signal;
Speaker, for the secondary signal is carried out electro acoustic conversion process, sends secondary noise signal.
Preferably, the controller includes:
Repetitive controller, for bringing reference signal e (z) into repetition internal model control relational expression, obtains in this cycle
Total error signal e0Z (), wherein, the repetition internal model control relational expression is specially:e0(z)=e (z)+e (z) Q (z) z-N;Q
Z () is predetermined constant,T0For the cycle of fundamental frequency signal in the reference signal, TsSampling week for the reference signal
Phase, N are positive integer;
Multiplier, the bias contribution signal for the total error signal is carried out reverse process, after obtaining reversely;
Wave filter, for carrying out low-pass filtering treatment to the bias contribution signal, obtains the secondary signal.
Preferably, the error pick-up is mike.
Preferably, also include:
Work(between the controller and the speaker, being connected respectively is located at the controller and the speaker
Rate amplifier, for being amplified process to the secondary signal, and sends to the speaker.
The invention provides a kind of reduction method, periodic Acquisition Error noise signal, and the mistake to collecting
Difference noise signal is controlled process by the way of Repetitive controller, obtains secondary noise signal to offset primary noise signal
(noise signal that noise source sends);Repeated control algolithm is compared with adaptive algorithm, it is not necessary to consider the iteration of weight coefficient
And the problems such as constringency performance, algorithm is simple, it is easy to accomplish.Present invention also offers a kind of active noise reducing device, using above-mentioned
Method is realized, it may have above-mentioned advantage, be will not be described here.
Description of the drawings
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below will be to institute in prior art and embodiment
The accompanying drawing for using is needed to be briefly described, it should be apparent that, drawings in the following description are only some enforcements of the present invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, can be being obtained according to these accompanying drawings
Obtain other accompanying drawings.
A kind of flow chart of the process of reduction method that Fig. 1 is provided for the present invention;
The schematic diagram of Repetitive controller in a kind of reduction method that Fig. 2 is provided for the present invention;
A kind of structural representation of active noise reducing device that Fig. 3 is provided for the present invention.
Specific embodiment
The core of the present invention is to provide a kind of reduction method and its device, using Repetitive controller mode to error noise
Signal is processed, and obtains secondary noise signal, and algorithm is simple, it is easy to accomplish.
Purpose, technical scheme and advantage for making the embodiment of the present invention is clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, to the embodiment of the present invention in technical scheme be clearly and completely described, it is clear that described embodiment is
The a part of embodiment of the present invention, rather than whole embodiments.Embodiment in based on the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
The invention provides a kind of reduction method, shown in Figure 1, a kind of active drop that Fig. 1 is provided for the present invention
The flow chart of the process of method for de-noising;The method includes:
Step s101:Current error noise signal is periodically gathered;Error noise signal is believed for current primary noise
Number with secondary noise signal sum;
Step s102:Using error noise signal as the reference signal of Repetitive controller internal model, reference signal is repeated
Control, obtains secondary signal;
Step s103:Secondary signal is carried out electro acoustic conversion process, secondary noise signal is sent.
It is understood that above-mentioned noise reduction process is carried out for periodicity, i.e., each cycle can carry out step s101~
103 operation, wherein, the present invention is not construed as limiting to the time span of each cycle.
Specifically, shown in Figure 2, the signal of Repetitive controller in a kind of reduction method that Fig. 2 is provided for the present invention
Figure;Repetitive controller is carried out to reference signal, the process for obtaining secondary signal is specially:
Step s201:Bring reference signal e (z) into repetition internal model control relational expression, obtain the total error letter in this cycle
Number e0Z (), wherein, repeats internal model control relational expression and is specially:
e0(z)=e (z)+e (z) Q (z) z-N;
Q (z) is predetermined constant,T0For the cycle of fundamental frequency signal in reference signal, TsSampling for reference signal
Cycle, N are positive integer;
Step s202:Total error signal in this cycle is carried out reverse process, the bias contribution signal after obtaining reversely;
Step s203:Low-pass filtering treatment is carried out to bias contribution signal, secondary signal is obtained.
It is understood that Repetitive controller be a kind of by past control deviation be added to together with present control deviation by
A kind of control mode on control object, with the high gain characteristics to fundamental frequency and its frequency-doubled signal, can realize to error noise
The steady-state response of zero tracking error when signal is tracked is stability good.The method answers used for this invention being upper one week
The total error signal that phase obtains and the error noise signal summation for currently gathering.
It should be noted that as shown in Figure 2, during Repetitive controller, only using error noise signal as repeating to control
The reference signal of internal model processed carries out Repetitive controller, and the input of Repetitive controller block mold is still primary noise signal, is output as
Secondary noise signal;It is an advantage of the invention that primary noise signal need not be actually entered to Repetitive controller block mold, and
It is by carrying out Repetitive controller to error signal so that the input and output of Repetitive controller block mold are the state that cancels out each other,
So that the secondary noise of output can offset primary noise signal.
Wherein, the transmission function of Repetitive controller internal model is:
Understood according to experiment, be infinity when Q (z)=1 to the open-loop gain of fundamental frequency and its frequency-doubled signal, but now locate
In critical stable state, therefore Q (z) generally takes the constant less than 1, for example, can use 0.95, to ensure to repeat internal model stability, when
So, Q (z) here also can use other values for being not more than 1, and the present invention is not construed as limiting to this.
The transmission function of Repetitive controller block mold is:
It is understood that H (z) levels off to infinity in theory, so the transmission function of Repetitive controller block mold connects
- 1 is bordering on, the secondary noise signal of output is represented and approximately can be cancelled out each other as input primary noise signal, so as to realize
The purpose of the present invention.
The invention provides a kind of reduction method, periodic Acquisition Error noise signal, and the mistake to collecting
Difference noise signal is controlled process by the way of Repetitive controller, obtains secondary noise signal to offset primary noise signal
(noise signal that noise source sends);Repeated control algolithm is compared with adaptive algorithm, it is not necessary to consider the iteration of weight coefficient
And the problems such as constringency performance, algorithm is simple, it is easy to accomplish.
Present invention also offers a kind of active noise reducing device, shown in Figure 3, Fig. 3 for the present invention provide a kind of active
The structural representation of denoising device.The device includes:
Error pick-up 11, for periodically gathering current error noise signal;Error noise signal is current first
Level noise signal and secondary noise signal sum;
Controller 12, is carried out as the reference signal of Repetitive controller internal model to reference signal for using error noise signal
Repetitive controller, obtains secondary signal;
Speaker 13, for secondary signal is carried out electro acoustic conversion process, sends secondary noise signal.
Wherein, controller 12 includes:
Repetitive controller, for bringing reference signal e (z) into repetition internal model control relational expression, obtains total in this cycle
Error signal e0Z (), wherein, repeats internal model control relational expression and is specially:e0(z)=e (z)+e (z) Q (z) z-N;Q (z) is default
Constant,T0For the cycle of fundamental frequency signal in reference signal, TsFor the sampling period of reference signal, N is positive integer;
Multiplier, the bias contribution letter for the total error signal in this cycle is carried out reverse process, after obtaining reversely
Number;
Wave filter, for carrying out low-pass filtering treatment to bias contribution signal, obtains secondary signal.
It is understood that arranging multiplication factor in multiplier, for being multiplied with total error signal, the multiplication factor is general
For -1, the bias contribution signal for making to obtain after multiplication is identical with total error signal frequency, amplitude is identical, opposite in phase.Filter
Ripple device is used for filtering the high-frequency signal interference in bias contribution signal, that is, filter spike, can adopt step low-pass numerical filtering
Device, the cut-off frequency of wave filter can be 1800Hz, and the transmission function of wave filter can be:
Certainly, the concrete of preferred version, the concrete numerical value for not limiting multiplication factor of the invention and wave filter these are only
Type, cut-off frequency and transmission function.
Specifically, error pick-up 11 is mike.
Preferably, the device also includes:
Power amplifier between controller 12 and speaker 13, being connected respectively is located at controller 12 and speaker 13
14, for being amplified process to secondary signal, and send to speaker 13.
It is understood that it is all not big enough to typically result in secondary signal, be not enough to diffuse to a larger scope come with
Noise is offset, therefore needs to be amplified process to the secondary signal for generating, and certainly, amplification can be decided in its sole discretion, this
Bright this is not construed as limiting.
In addition, the present invention adopts Repetitive controller principle, therefore continuous collecting primary noise signal is not needed, but only initial
Cycle gather a primary noise signal, therefore can only step-up error sensor 11, compare current active noise reducing device,
The number of devices in device is reduced, cost has been saved.
The invention provides a kind of active noise reducing device, periodic Acquisition Error noise signal, and the mistake to collecting
Difference noise signal is controlled process by the way of Repetitive controller, obtains secondary noise signal to offset primary noise signal
(noise signal that noise source sends);Repeated control algolithm is compared with adaptive algorithm, it is not necessary to consider the iteration of weight coefficient
And the problems such as constringency performance, algorithm is simple, it is easy to accomplish.
It should be noted that in this manual, term " including ", "comprising" or its any other variant are intended to
Nonexcludability includes, so that a series of process, method, article or equipment including key elements not only includes that those will
Element, but also other key elements including being not expressly set out, or also include for this process, method, article or equipment
Intrinsic key element.In the absence of more restrictions, the key element for being limited by sentence "including a ...", it is not excluded that
Also there is other identical element in process, method, article or equipment including the key element.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or using the present invention.
Multiple modifications of these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized without departing from the spirit or scope of the present invention in other embodiments.Therefore, the present invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope for causing.
Claims (6)
1. a kind of reduction method, it is characterised in that include:
Current error noise signal is periodically gathered;The error noise signal is made an uproar with secondary for current primary noise signal
Acoustical signal sum;
Using the error noise signal as the reference signal of Repetitive controller internal model, Repetitive controller is carried out to the reference signal,
Obtain secondary signal;
The secondary signal is carried out electro acoustic conversion process, secondary noise signal is sent.
2. method according to claim 1, it is characterised in that described Repetitive controller is carried out to the reference signal, obtain
The process of secondary signal is specially:
Bring reference signal e (z) into repetition internal model control relational expression, obtain the total error signal e in this cycle0(z), its
In, the repetition internal model control relational expression is specially:
e0(z)=e (z)+e (z) Q (z) z-N;
Q (z) is predetermined constant,T0For the cycle of fundamental frequency signal in the reference signal, TsFor the reference signal
Sampling period, N are positive integer;
The total error signal is carried out reverse process, the bias contribution signal after obtaining reversely;
Low-pass filtering treatment is carried out to the bias contribution signal, the secondary signal is obtained.
3. a kind of active noise reducing device, it is characterised in that include:
Error pick-up, for periodically gathering current error noise signal;The error noise signal is current primary
Noise signal and secondary noise signal sum;
Controller, enters as the reference signal of Repetitive controller internal model to the reference signal for using the error noise signal
Row Repetitive controller, obtains secondary signal;
Speaker, for the secondary signal is carried out electro acoustic conversion process, sends secondary noise signal.
4. device according to claim 3, it is characterised in that the controller includes:
Repetitive controller, for bringing reference signal e (z) into repetition internal model control relational expression, obtains total in this cycle
Error signal e0Z (), wherein, the repetition internal model control relational expression is specially:e0(z)=e (z)+e (z) Q (z) z-N;Q (z) is
Predetermined constant,T0For the cycle of fundamental frequency signal in the reference signal, TsFor the sampling period of the reference signal, N
For positive integer;
Multiplier, the bias contribution signal for the total error signal is carried out reverse process, after obtaining reversely;
Wave filter, for carrying out low-pass filtering treatment to the bias contribution signal, obtains the secondary signal.
5. device according to claim 3, it is characterised in that the error pick-up is mike.
6. device according to claim 3, it is characterised in that also include:
It is located at power between the controller and the speaker, being connected respectively with the controller and the speaker to put
Big device, for being amplified process to the secondary signal, and sends to the speaker.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108877762A (en) * | 2018-05-16 | 2018-11-23 | 南京大学 | A kind of multi-channel Active Noise radiation control system error microphone lays method |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102882211A (en) * | 2012-10-15 | 2013-01-16 | 北京京仪椿树整流器有限责任公司 | Self-adaptive repetitive control method for active power filter |
CN104538018A (en) * | 2014-12-25 | 2015-04-22 | 东南大学 | Acoustic control method of active structure of sealed cavity |
CN104821166A (en) * | 2015-01-10 | 2015-08-05 | 哈尔滨工业大学(威海) | Active noise control method based on particle swarm optimization algorithm |
CN105489212A (en) * | 2014-09-17 | 2016-04-13 | 中兴通讯股份有限公司 | Downlink active noise reduction device and method, and mobile terminal |
CN103474060B (en) * | 2013-09-06 | 2016-04-13 | 深圳供电局有限公司 | A kind of power equipment Noise Active suppressing method based on internal model control |
-
2016
- 2016-11-24 CN CN201611050719.1A patent/CN106504740A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102882211A (en) * | 2012-10-15 | 2013-01-16 | 北京京仪椿树整流器有限责任公司 | Self-adaptive repetitive control method for active power filter |
CN103474060B (en) * | 2013-09-06 | 2016-04-13 | 深圳供电局有限公司 | A kind of power equipment Noise Active suppressing method based on internal model control |
CN105489212A (en) * | 2014-09-17 | 2016-04-13 | 中兴通讯股份有限公司 | Downlink active noise reduction device and method, and mobile terminal |
CN104538018A (en) * | 2014-12-25 | 2015-04-22 | 东南大学 | Acoustic control method of active structure of sealed cavity |
CN104821166A (en) * | 2015-01-10 | 2015-08-05 | 哈尔滨工业大学(威海) | Active noise control method based on particle swarm optimization algorithm |
Non-Patent Citations (1)
Title |
---|
刘新菊等: "鲁棒重复控制在有源噪声控制系统中的应用", 《北京信息科技大学学报》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108877762A (en) * | 2018-05-16 | 2018-11-23 | 南京大学 | A kind of multi-channel Active Noise radiation control system error microphone lays method |
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