基于自适应逆控制的参量声源控制系统设计与实现

发布时间：2018-07-10 06:28

本文选题：参量声源 + 声音失真　；参考：《电子科技大学》2014年硕士论文

【摘要】：参量声源作为一种新概念声源,它利用声波在空气中传播的非线性效应产生高指向性的可听声。目前参量声源中自解调信号与超声波之间的解析关系还是依赖“Berktay远场解”理论来确定,但“Berktay远场解”考虑非线性效应时只取二阶近似,且没有将散射、吸收等效应考虑进去,因此自解调后的可听声必然存在着声音失真现象。针对参量声源的声音失真现象,本文提出建立参量声源自适应逆控制器,将该逆控制器串联置于参量声源之前,通过对逆控制器的反馈调节减少参量声源的失真。通过MATLAB仿真分析验证该系统的有效性,并在DSP平台实现自适应逆控制算法,同时对实现的算法性能进行实验分析。为了建立参量声源的自适应逆控制器,本文对参量声源的工作原理进行详细的阐述,并建立了参量声源的功能模型,以便于自适应逆控制的仿真验证。然后重点讨论了在自适应逆控制中建立正向模型和逆模型的方法,并根据自适应算法利用自适应滤波器建立参量声源的正向模型和逆模型,验证了所建模型的有效性。在参量声源模型建立的基础上,本文分析了常见的自适应逆控制结构,并重点阐述了X 滤波LMS算法和ε 滤波LMS算法,同时采用ε 滤波LMS算法建立参量声源的自适应逆控制算法,通过Simulink搭建参量声源逆控制模型,分析该自适应逆控制模型的控制精度和跟踪速度,并将此自适应逆控制算法与传统的PID控制算法进行比较分析,证明参量声源的自适应逆控制算法性能优于传统的PID控制算法。最后根据理论和仿真效果分析,在DSP平台上实现了参量声源的自适应逆控制算法。本文给出了系统实现的硬件电路,并对部分重点电路进行详细的分析。同时给出系统实现的软件流程以及部分程序代码,分析自适应逆控制算法实现过程,同时搭建了相关的实验测试平台。测试结果表明,本文所设计的自适应逆控制系统能够有效降低参量声源的声音失真。
[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.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB51;TP273

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