CN109747575A - A kind of multi-mode in-vehicle sound quality optimization system based on order optimization - Google Patents
A kind of multi-mode in-vehicle sound quality optimization system based on order optimization Download PDFInfo
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Abstract
The invention discloses a kind of multi-mode in-vehicle sound quality optimization system based on order optimization, including voice collection device, sound quality mode selector, residual coefficient determining device, engine speed sensor, order control device and secondary sound source export transposition；Former noise signal collected is input to the residual coefficient that residual coefficient determining device determines order control device by voice collection device, engine speed sensor connects order control device, and engine speed sensor acquires engine current rotating speed signal n, control order corresponding to the sound quality mode exported according to engine current rotating speed signal n and sound quality mode selector obtains engine noise signal, final output signal is obtained after the residual coefficient β exported in conjunction with residual coefficient determining device, and final output signal is passed through into secondary sound source output device, realize the personalized optimization design of in-vehicle sound quality, optimize in-vehicle sound quality, improve the riding experience of driver.
Description
Technical field
The invention belongs to automobile vibration and field of noise more particularly to a kind of multi-mode car sound product based on order optimization
Matter optimization system.
Background technique
Studies have shown that internal car noise is mainly derived from the noise of engine during automobile is run at a low speed in, start
Machine noise is to the contribution angle value highest of internal car noise, and engine noise has low-frequency range, periodic feature, and engine
The crest frequency of noise mainly appears at order frequency.
Sound quality reflects people to the subjective feeling of sound, and up to the present, researcher proposes influence sound product in succession
The psychoacoustic parameter of matter, comprising: loudness, sharpness, roughness, shake degree etc..
Sound quality evaluation model illustrates human auditory system impression and the relationship before sound quality objective parameter, closes mostly at present
Linear relationship in the foundation of sound quality evaluation model, mostly by establishing sound quality agitation degree score and sound quality objective parameter
It obtains.This linear sound quality evaluation model can not reflect human auditory system impression and sound quality objective parameter well
Relationship.And single sound quality model can not meet the needs of driver likes characteristic and personalization.
Active noise controlling (ANC) is artificially, purposefully to generate a secondary acoustical signal in specified region to go to control
The method for making primary acoustical signal.According to two sound wave destructive interference conditions, if using artificial additional secondary sound source generate with
Primary sound source magnitudes of acoustic waves is equal, opposite in phase sound wave, then in space coherence's superposition will occur for two sound waves, is formed and is eliminated the noise
" dead zone ", to achieve the purpose that noise reduction.
Traditional active noise control system (ANC) mainly the sound pressure level of noise is controlled, but sound pressure level without
The different auditory perception for surely improving human ear of the control of method, and can not control effectively to each frequency band of noise.
Summary of the invention
The present invention is insufficient according to prior art and defect, proposes a kind of multi-mode car sound product based on order optimization
Matter optimization system, it is therefore intended that equalize control thought using active noise, optimized for the order noise of engine, together
When three kinds of sound quality modes of setting carry out different sound quality optimizations, reduce the complexity of control system, improve sound quality
The precision of evaluation model also meets driver for the individual demand of sound quality.
In order to solve the above-mentioned technical problem, The technical solution adopted by the invention is as follows:
A kind of multi-mode in-vehicle sound quality optimization system based on order optimization, voice collection device, the choosing of sound quality mode
Select device, residual coefficient determining device, engine speed sensor, order control device and secondary sound source output transposition.
The voice collection device connects residual coefficient determining device, original noise signal x (k) collected is input to surplus
Remaining coefficient processing device；The residual coefficient determining device includes Signal Pretreatment including sequentially connection residual coefficient determining device
Unit, order regulation multisample generation unit, sound sample storage unit, psychologic acoustics objective parameter computing unit, sound quality GA-
The optimal sample selecting unit of BP evaluation model, sound quality and residual coefficient output unit etc..
The sound quality mode selector be include sound quality mode selecting unit, for exporting sound quality mode, sound
Quality mode includes comfort type, sports type and power type, defeated to order regulation multisample generation unit and order control device
Sound quality mode out；
The Signal Pretreatment unit is filtered denoising to the former noise signal x (k) of input and obtains noise signal
x'(k)；
The order regulation multisample generation unit carries out order optimal control to noise signal x ' (k), obtains each noise
Signal Ji(k) and each noise signal Ji(k) order acoustic pressure regulated quantity；
The sound sample storage unit, by each noise signal Ji(k) and its each order acoustic pressure regulated quantity is stored；
The psychologic acoustics objective parameter computing unit is to noise signal Ji(k) calculating of psychologic acoustics objective parameter is carried out,
Obtain noise signal Ji(k) loudness, roughness and sharpness；
The sound quality GA-BP evaluation unit is according to noise signal Ji(k) loudness, roughness and sharpness, utilize GA-
BP algorithm constructs evaluation model and obtains the sound quality score value SQ of each noise signal by the evaluation model constructedi；
The optimal sample selecting unit of sound quality, to each noise signal Ji(k) sound quality score value SQiCompared
Compared with the selection highest sample of sound quality score value exports its each order acoustic pressure regulated quantity；
The residual coefficient output unit obtains corresponding sound quality control unit by each order acoustic pressure regulated quantity
Residual coefficient vector β m, and export；
The engine speed sensor connects control unit, the engine speed sensing by harmonic signal generator
Device acquires engine current rotating speed signal n, and described control unit receives the sound quality mode of sound quality mode selecting unit output
Obtain the residual coefficient vector β m of corresponding control order and the output of residual coefficient determining device；It will control order and gain coefficient
β is input to FXLMS-ANE algorithm；To engine noise signal xm' (k) obtain final output signal after being handled, and will most
Whole output signal is input to secondary sound source output device, is exported.
Further, engine noise signal x is obtainedm' (k) process are as follows: will control order and engine current rotating speed letter
Number n is input to the engine noise signal x that each order is obtained in engine noise signal modelm' (k), m is to adjust order,
Single order noise:
Second-order noise:
Three rank noises:
Wherein, x'(k) it is engine noise signal, A1For an order vibration amplitude, n is present engine revolving speed, when k is
Between signal；
Further, the process of final output signal is obtained are as follows:
To engine noise signal xm' after (k) compensate calculating, enter LMS algorithm as initial reference signal,
The secondary noise signal y that weight processing obtains each order is carried out to initial reference signal in LMS algorithmi(k), then to secondary noise
Signal yi(k) pass through gain coefficient (1- βm) calculate and then it is secondary compensate calculatings, m is adjusting order,
Further, the order optimal control detailed process is: the sound quality exported by sound quality mode selecting unit
Mode obtains corresponding control order, adjusts the acoustic pressure regulated quantity that noise signal x ' (k) respectively controls order, obtains each noise signal
Ji(k), wherein i is noise serial number；
Further, the order acoustic pressure regulated quantity are as follows: the seven kinds of sides+9db ,+6db ,+3db ,+0db, -3db, -6db, -9db
Formula；
Further, the method for selecting control order and active control system residual coefficient vector are as follows: pass through sound product
Matter mode selecting unit selection sound quality mode is commented to obtain the control order of corresponding sound quality mode by what is constructed
Valence model, by noise signal Ji(k) evaluation model is inputted as sample, by the sound quality score of evaluation model output sample
SQi, according to sound quality score SQiOptimal sound quality sample and the corresponding order acoustic pressure regulated quantity of optimal sound quality sample are selected,
And corresponding residual coefficient vector β m is obtained by each order acoustic pressure regulated quantity；
Beneficial effects of the present invention:
The present invention is by building different sound quality evaluation models, including comfort type, sports type, under power type Three models
Sound quality model, obtain the adjusting order under each mode, by the adjusting method to each order sound pressure level, obtain each order
Acoustic pressure regulated quantity realizes the control to different order noises in conjunction with FXLMS-ANE control system, to realize for not
Like with driver and design different sound quality modes, the impression of vehicle sound quality can also be greatly improved.
Detailed description of the invention
Fig. 1 is FXLMS-ANE control system block diagram；
Fig. 2 is GA-BP sound quality evaluation model work flow diagram；
Fig. 3 is order optimization output figure；
Fig. 4 is FXLMS-ANE control system block diagram；
Fig. 5 is system block diagram.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, the specific embodiments are only for explaining the present invention, not
For limiting the present invention.
As shown in Figure 1, a kind of multi-mode in-vehicle sound quality optimization system based on order optimization, including sound collection dress
It sets, sound quality mode selector, residual coefficient determining device, order control device, secondary sound source output device；Sound collection
Device is microphone and connection residual coefficient determining device, obtains original noise x (k) at driver's human ear for acquiring,
Original noise signal x (k) collected is input to residual coefficient determining device；Residual coefficient determining device includes Signal Pretreatment
Unit, sound quality mode selecting unit, order regulation multisample generation unit, sound sample storage unit, the objective ginseng of psychologic acoustics
Number computing unit, sound quality GA-BP evaluation model, the optimal sample selecting unit of sound quality, residual coefficient output unit etc. is sequentially
Connection；Wherein Signal Pretreatment unit receive original noise signal x (k), Signal Pretreatment unit using wavelet decomposition with combine
Except white noise and interference signal；Exporting stable noise signal x ' (k) later is sample sound.
Such as Fig. 3, order regulation multisample generation unit is by receiving the sound quality call by pattern of sound quality mode selecting unit
To corresponding adjusting order, to carry out order optimal control to noise signal x ' (k), each noise signal J is obtainedi(k) and
Each noise signal Ji(k) specifically order acoustic pressure regulated quantity is arranged in order acoustic pressure regulated quantity are as follows:+9db ,+6db ,+3db ,+
0db,-3db,-6db,-9db；
As shown in the table, following order is included but are not limited to
| Second order | +9db | +6db | +3db | +0db | -3db | -6db | -9db |
| Three ranks | +9db | +6db | +3db | +0db | -3db | -6db | -9db |
| Quadravalence | +9db | +6db | +3db | +0db | -3db | -6db | -9db |
| Five ranks | +9db | +6db | +3db | +0db | -3db | -6db | -9db |
| Six ranks | +9db | +6db | +3db | +0db | -3db | -6db | -9db |
By the way that each order noise sound is adjusted respectively as shown in upper table, simultaneously to the noise of each order
Progress+9db ,+6db ,+3db+0db, the acoustic pressure of -3db, -6db, seven kinds of modes of -9db are adjusted, total to obtain L7A sound sample
This (L- adjust order number) and by the sample sound J after adjustingi(k) it exports.
Storage unit stores noise signal Ji(k) and its order acoustic pressure regulated quantity；
The sample sound signal J that psychologic acoustics objective parameter computing unit stores storage uniti(k) carry out sound product respectively
Matter objective parameter calculates, and obtains the loudness value L of each sample soundi, roughness value Ri, sharp angle value Si, and it is directed respectively into sound
Among quality GA-BP evaluation unit；
Such as Fig. 2, sound quality GA-BP evaluation unit is according to noise signal Ji(k) loudness, roughness and sharpness utilize
GA-BP algorithm construction evaluation model, by the evaluation model constructed, by noise signal Ji(k) as sample input evaluation mould
Type, by the sound quality score SQ of evaluation model output samplei。
The optimal sample selecting unit of sound quality is according to each sample Ji(k) sound quality score SQiSelect optimal sound quality sample with
And the corresponding order acoustic pressure regulated quantity of optimal sound quality sample；
Residual coefficient output unit obtains corresponding residue according to the corresponding order acoustic pressure regulated quantity of optimal sound quality sample
Coefficient vector β m；
The sound quality mode and remaining control order and gain coefficient vector β m that sound quality mode selecting unit is obtained
It is input in order control device.
The order control device uses the sound quality active control unit using FXLMS-ANE as algorithm；
Engine speed sensor acquires engine current rotating speed signal n, and control order and engine current rotating speed are believed
Number n is input to the engine noise signal x that each order is obtained in engine noise signal modelm' (k), it is specific as follows:
Single order noise:
Second-order noise:
Three rank noises:
Wherein, xm' (k) be engine noise signal, A1For an order vibration amplitude, A2For two order vibration amplitudes, A3For
Three order vibration amplitudes, n are present engine revolving speed, and k is time signal.
By engine noise signal after estimation function s'(z) compensation, i.e., by xm' (k) s'(z) it is used as initial reference
Signal input LMS algorithm is calculated, wherein s'(z) be secondary channel transmission function s (z) approximate evaluation value, s (z) can be with
It is measured by experiment, in order to solve the problems, such as signal time delay.
Then processing is weighted to initial reference signal and obtains the secondary noise signal y of the orderi(k), i.e.,
yi(k)=xm'(k)·s'(z)·Wi, (4)
Wherein, WiFor the output weight of each order LMS algorithm transversal filter；
Finally to secondary noise signal yi(k) after gain coefficient (1- β) processing, then estimation function s'(z is carried out) it mends
It repays, obtains final output signal i.e. yi(k) (1- β) s'(z), it is defeated that final output signal is input to sound play device progress
Out.
Further explanation about FXLMS-ANE control system:
Traditional FXLMS control system:
Controller weight vector iterative formula are as follows:
W (k+1)=- 2 μ e (k) r (k) of w (k)； (5)
R (k)=x'(k) * s (z)； (6)
Wherein, w (k) is FXLMS controller weight vector, x'(k) it is original noise, μ is the step-length of filter, s (z)
For secondary channel transmission function, e (k) is the error signal that microphone pick arrives；
E (k)=d (k)+y (k)=d (k)+rT(k)W(k)； (7)
D (k)=x'(k) * P (z)； (8)
Wherein, y (k) is the secondary noise signal exported by FXLMS filter, and P (z) is primary channel transmission function, d
It (k) is the noise signal that error sensor locations are transmitted to by primary channel,
FXLMS-ANE control system:
Actual error signal is replaced to be used as controller weight vector iteration with one empty error signal e ' (k):
E'(k)=d (k)-β y (k)； (9)
And there is actual error signal:
E (k)=d (k)-(1- β) y (k)； (10)
After algorithmic stability convergence, there is d (k) ≈ y (k), to obtain practical residual error signal:
E (k)=β d (k)； (11)
β is the residual coefficient of ANE controller
The size of residual coefficient β will change the size of actual error signal, adjust correspondence to realize and adjust residual coefficient β
The actual error signal of order.
Above embodiments are merely to illustrate design philosophy and feature of the invention, and its object is to make technology in the art
Personnel can understand the content of the present invention and implement it accordingly, and protection scope of the present invention is not limited to the above embodiments.So it is all according to
It is within the scope of the present invention according to equivalent variations made by disclosed principle, mentality of designing or modification.
Claims (8)
1. it is a kind of based on order optimization multi-mode in-vehicle sound quality optimization system, which is characterized in that including voice collection device,
Sound quality mode selector, residual coefficient determining device, engine speed sensor, order control device and secondary sound source are defeated
Transposition out；Original noise signal x (k) collected is input in residual coefficient determining device by the voice collection device, described
Residual coefficient determining device includes sequentially connected Signal Pretreatment unit, order regulation multisample generation unit, and sound sample is deposited
Storage unit, psychologic acoustics objective parameter computing unit, sound quality GA-BP evaluation unit, the optimal sample selecting unit of sound quality and
Residual coefficient output unit.
The sound quality mode selector be include sound quality mode selecting unit, for exporting sound quality mode, to order
It adjusts multisample generation unit and order control device exports sound quality mode；
The Signal Pretreatment unit is filtered denoising to the former noise signal x (k) of input and obtains noise signal x '
(k)；
The order regulation multisample unit determines control order according to sound quality mode, to carry out to noise signal x ' (k)
Order optimal control obtains each noise signal Ji(k) and each noise signal Ji(k) each order acoustic pressure regulated quantity corresponding to；
The storage unit stores noise signal Ji(k) and its each order acoustic pressure regulated quantity；
Each noise signal J of the psychologic acoustics objective parameter computing unit to storage uniti(k) the objective ginseng of psychologic acoustics is done
Number calculates, comprising: loudness Li, sharpness Si, roughness Ri；
The sound quality GA-BP evaluation unit is according to noise signal Ji(k) loudness Li, roughness RiWith sharpness Si, utilize GA-
BP algorithm constructs evaluation model and obtains each noise signal J by the evaluation model constructedi(k) sound quality score SQi；
The optimal sample selecting unit of the sound quality is according to each noise signal Ji(k) sound quality score SQi, selection sound product
Matter highest scoring sample, and export its each order acoustic pressure regulated quantity；
The residual coefficient output unit is obtained by each order acoustic pressure regulated quantity of the optimal sample selecting unit output of sound quality
To corresponding residual coefficient βmVector, and it is output to order control device；
The order control device includes sound quality active control unit；
The engine speed sensor connects sound quality active control unit, and engine speed sensor acquisition engine is worked as
Preceding tach signal n, according to corresponding to engine current rotating speed signal n and the sound quality mode of sound quality mode selecting unit output
Control order obtain engine noise signal xm' (k), m is to adjust order, in conjunction with residual coefficient βmAfter vector is handled
Final output signal is obtained, and final output signal is input to secondary sound source output device, is exported.
2. a kind of multi-mode in-vehicle sound quality optimization system based on order optimization according to claim 1, feature exist
In the mistake of the order optimal control of the order control unit is known as: the sound quality exported according to sound quality mode selecting unit
Mode adjusts the adjusting order of noise signal x ' (k) under the sound quality mode, sets order acoustic pressure regulated quantity, respectively made an uproar
Acoustical signal Ji(k), and to each noise signal Ji(k) it is evaluated to obtain Optimal order acoustic pressure regulated quantity, to obtain residual coefficient
Vector βm, wherein i is noise serial number.
3. a kind of multi-mode in-vehicle sound quality optimization system based on order optimization according to claim 2, feature exist
In order regulation multisample generation unit exports sound quality mode according to sound quality mode selecting unit and obtains corresponding adjusting rank
It is secondary；The order acoustic pressure regulated quantity are as follows:+9db ,+6db ,+3db ,+0db, -3db, -6db, -9db.
4. a kind of multi-mode in-vehicle sound quality optimization system based on order optimization according to claim 1, feature exist
In the method for the control order and residual coefficient vector β m for selecting sound quality control unit are as follows: selected by sound quality mode
The sound quality mode for selecting unit output determines control order under different mode；And by constructed evaluation model, by noise
Signal Ji(k) evaluation model is inputted as sample, by the sound quality score SQ of evaluation model output samplei, obtained according to sound quality
Divide SQiOptimal sound quality sample and order acoustic pressure regulated quantity are selected, corresponding residual coefficient vector β is obtainedm。
5. a kind of multi-mode in-vehicle sound quality optimization system based on order optimization according to claim 1, feature exist
In the acquisition engine noise signal xm' (k) process are as follows: receive sound quality selecting unit output sound quality call by pattern
Control order and engine current rotating speed signal n under to associative mode are input in engine noise signal model and obtain each rank
Secondary engine noise signal xm’(k)。
6. a kind of multi-mode in-vehicle sound quality optimization system based on order optimization according to claim 5, feature exist
In the engine noise signal model indicates are as follows:
Single order noise:
Second-order noise:
Three rank noises:
Wherein, x'(k) it is engine noise signal, A1For an order vibration amplitude, A2For two order vibration amplitudes, A3For three ranks
Secondary vibration amplitude, n are present engine revolving speed, and k is time signal.
7. a kind of multi-mode in-vehicle sound quality optimization system based on order optimization according to claim 5, feature exist
In obtaining the process of final output signal are as follows:
In the controller, to engine noise signal xm' after (k) compensate calculating, enter LMS as initial reference signal and calculate
Method carries out the secondary noise signal y that weight processing obtains each order to initial reference signal in LMS algorithmi(k), then to secondary
Grade noise signal yi(k) pass through residual coefficient (1- βm) calculate and then it is secondary compensate calculating after be transmitted to as output signal
Secondary sound source output device, wherein m is to adjust order.
8. a kind of multi-mode in-vehicle sound quality optimization system based on order optimization according to claim 1, feature exist
In the sound quality mode includes comfort type, sports type and power type.
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| CN111751119A (en) * | 2020-06-10 | 2020-10-09 | 中国第一汽车股份有限公司 | Automobile acceleration sound quality evaluation method based on sound order frequency characteristics |
| CN112304632A (en) * | 2020-07-08 | 2021-02-02 | 重庆长安汽车股份有限公司 | Transient modulation evaluation method for describing human ear perception |
| CN111951775A (en) * | 2020-07-09 | 2020-11-17 | 江苏大学 | In-vehicle sound quality optimization system and optimization method |
| CN112461357A (en) * | 2020-11-20 | 2021-03-09 | 东风汽车集团有限公司 | Evaluation method for engine semitone |
| CN112461357B (en) * | 2020-11-20 | 2022-03-01 | 东风汽车集团有限公司 | Evaluation method for engine semitone |
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