本文選題：參量聲源 + 聲音失真��； 參考：《電子科技大學(xué)》2014年碩士論文

【摘要】：參量聲源作為一種新概念聲源,它利用聲波在空氣中傳播的非線性效應(yīng)產(chǎn)生高指向性的可聽聲。目前參量聲源中自解調(diào)信號(hào)與超聲波之間的解析關(guān)系還是依賴“Berktay遠(yuǎn)場(chǎng)解”理論來確定,但“Berktay遠(yuǎn)場(chǎng)解”考慮非線性效應(yīng)時(shí)只取二階近似,且沒有將散射、吸收等效應(yīng)考慮進(jìn)去,因此自解調(diào)后的可聽聲必然存在著聲音失真現(xiàn)象。針對(duì)參量聲源的聲音失真現(xiàn)象,本文提出建立參量聲源自適應(yīng)逆控制器,將該逆控制器串聯(lián)置于參量聲源之前,通過對(duì)逆控制器的反饋調(diào)節(jié)減少參量聲源的失真。通過MATLAB仿真分析驗(yàn)證該系統(tǒng)的有效性,并在DSP平臺(tái)實(shí)現(xiàn)自適應(yīng)逆控制算法,同時(shí)對(duì)實(shí)現(xiàn)的算法性能進(jìn)行實(shí)驗(yàn)分析。為了建立參量聲源的自適應(yīng)逆控制器,本文對(duì)參量聲源的工作原理進(jìn)行詳細(xì)的闡述,并建立了參量聲源的功能模型,以便于自適應(yīng)逆控制的仿真驗(yàn)證。然后重點(diǎn)討論了在自適應(yīng)逆控制中建立正向模型和逆模型的方法,并根據(jù)自適應(yīng)算法利用自適應(yīng)濾波器建立參量聲源的正向模型和逆模型,驗(yàn)證了所建模型的有效性。在參量聲源模型建立的基礎(chǔ)上,本文分析了常見的自適應(yīng)逆控制結(jié)構(gòu),并重點(diǎn)闡述了X 濾波LMS算法和ε 濾波LMS算法,同時(shí)采用ε 濾波LMS算法建立參量聲源的自適應(yīng)逆控制算法,通過Simulink搭建參量聲源逆控制模型,分析該自適應(yīng)逆控制模型的控制精度和跟蹤速度,并將此自適應(yīng)逆控制算法與傳統(tǒng)的PID控制算法進(jìn)行比較分析,證明參量聲源的自適應(yīng)逆控制算法性能優(yōu)于傳統(tǒng)的PID控制算法。最后根據(jù)理論和仿真效果分析,在DSP平臺(tái)上實(shí)現(xiàn)了參量聲源的自適應(yīng)逆控制算法。本文給出了系統(tǒng)實(shí)現(xiàn)的硬件電路,并對(duì)部分重點(diǎn)電路進(jìn)行詳細(xì)的分析。同時(shí)給出系統(tǒng)實(shí)現(xiàn)的軟件流程以及部分程序代碼,分析自適應(yīng)逆控制算法實(shí)現(xiàn)過程,同時(shí)搭建了相關(guān)的實(shí)驗(yàn)測(cè)試平臺(tái)。測(cè)試結(jié)果表明,本文所設(shè)計(jì)的自適應(yīng)逆控制系統(tǒng)能夠有效降低參量聲源的聲音失真。
[Abstract]:As a new concept sound source, parametric sound source makes use of the nonlinear effect of sound wave propagation in air to produce high directivity audible sound. At present, the analytical relationship between the self-demodulated signal and the ultrasonic wave in the parametric sound source is determined by the "Berktay far-field solution" theory, but the "Berktay far-field solution" only takes the second-order approximation when considering the nonlinear effect and does not scatter. Absorption and other effects are taken into account, so the audible sound must be distorted after demodulation. Aiming at the sound distortion of the parametric sound source, an adaptive inverse controller for parametric sound source is proposed in this paper. The inverse controller is placed in series before the parametric sound source, and the distortion of the parametric sound source is reduced by feedback adjustment of the inverse controller. The effectiveness of the system is verified by MATLAB simulation, and the adaptive inverse control algorithm is implemented on DSP platform, and the performance of the algorithm is analyzed experimentally. In order to establish the adaptive inverse controller of parametric sound source, the working principle of parametric sound source is described in detail, and the functional model of parametric sound source is established to facilitate the simulation verification of adaptive inverse control. Then, the method of establishing forward model and inverse model in adaptive inverse control is discussed, and the forward model and inverse model of parametric sound source are established by using adaptive filter according to the adaptive algorithm, and the validity of the model is verified. Based on the establishment of parametric sound source model, the common adaptive inverse control structure is analyzed in this paper, and the X filter LMS algorithm and 蔚 filter LMS algorithm are emphasized. At the same time, the adaptive inverse control algorithm of parametric sound source is established by 蔚 filter LMS algorithm. The control accuracy and tracking speed of the adaptive inverse control model are analyzed by Simulink. By comparing the adaptive inverse control algorithm with the traditional pid control algorithm, it is proved that the performance of the adaptive inverse control algorithm of parametric sound source is better than that of the traditional pid control algorithm. Finally, the adaptive inverse control algorithm of parametric sound source is implemented on DSP platform according to the theory and simulation results. The hardware circuit of the system is given in this paper, and some key circuits are analyzed in detail. At the same time, the software flow and some program codes of the system are given, the realization process of adaptive inverse control algorithm is analyzed, and the related experimental test platform is built. The test results show that the adaptive inverse control system designed in this paper can effectively reduce the sound distortion of the parametric sound source.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TB51;TP273

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本文編號(hào)：2112434