封閉空間噪聲的智能單元分布控制機(jī)制研究
本文選題:有源結(jié)構(gòu)聲控制 + 封閉空腔; 參考:《東南大學(xué)》2015年博士論文
【摘要】:封閉空間噪聲的有源控制及其工程應(yīng)用問(wèn)題,多年來(lái)一直都是學(xué)界和工程界關(guān)注的一個(gè)研究熱點(diǎn)。由于實(shí)際中的封閉空間內(nèi)大都存在著耦合聲場(chǎng),并且有源控制系統(tǒng)具有分布式特點(diǎn),使得有源控制的整體架構(gòu)變得更為復(fù)雜,而且整體控制效率不高。同時(shí),實(shí)踐中封閉空間內(nèi)的聲場(chǎng)可能會(huì)隨時(shí)發(fā)生改變或者控制器發(fā)生故障,這時(shí)普通的有源系統(tǒng)由于智能性、靈活性不夠,控制效果可能適得其反。因此,研究復(fù)雜整體控制架構(gòu)和智能單元的分布協(xié)調(diào)控制問(wèn)題,并高效地對(duì)腔內(nèi)聲場(chǎng)進(jìn)行降噪就變得尤為重要。本文對(duì)封閉空間內(nèi)噪聲的智能單元分布控制機(jī)制進(jìn)行了研究,將多主體系統(tǒng)MAS分布控制的理論應(yīng)用到封閉空腔有源結(jié)構(gòu)聲控制中。提出由兩個(gè)彈性板構(gòu)成的封閉空腔模型;并對(duì)封閉空腔內(nèi)結(jié)構(gòu)-聲耦合系統(tǒng)進(jìn)行了分析;優(yōu)化了作動(dòng)器控制力的復(fù)強(qiáng)度以及作動(dòng)器的位置參數(shù),并且從全局控制與局部控制兩方面進(jìn)行了比對(duì),給出了傳感器個(gè)數(shù)的一般選擇原則;研究了MAS在封閉空間噪聲有源控制系統(tǒng)的實(shí)現(xiàn),對(duì)噪聲控制Agent智能單元的結(jié)構(gòu)進(jìn)行了分析;并對(duì)MAS中的各個(gè)Agent操作域進(jìn)行了設(shè)計(jì);對(duì)MAS中的Agent單元之間進(jìn)行交互通信在噪聲有源控制系統(tǒng)中的應(yīng)用進(jìn)行了探討,對(duì)基于改進(jìn)合同網(wǎng)協(xié)議的多Agent協(xié)作機(jī)制進(jìn)行了研究;最后給出了基于MAS的封閉空間有源控制系統(tǒng)的Agent單元之間協(xié)作的流程。建立了基于MAS的封閉空間智能單元分布控制的系統(tǒng)框架,并進(jìn)行了仿真。最后,在dSPACE/Simulink平臺(tái)搭建了試驗(yàn)臺(tái)架進(jìn)行了MAS試驗(yàn),表明基于MAS的封閉空間噪聲的智能單元分布控制取得了較佳的控制效果。論文主要研究?jī)?nèi)容和創(chuàng)新點(diǎn)如下:1.以兩塊彈性板組成的矩形封閉空腔結(jié)構(gòu)-聲耦合聲學(xué)模型為研究對(duì)象,采用聲彈性法推導(dǎo)了空腔內(nèi)結(jié)構(gòu)-聲耦合場(chǎng)特性和彈性板表面振動(dòng)的理論模型。建立了以降低腔內(nèi)全局總平均聲勢(shì)能為控制目標(biāo)的二次型函數(shù),并給了最佳次級(jí)力源強(qiáng)度和最大降噪量計(jì)算公式。并對(duì)分別在受激彈性板和輻射彈性板上布置次級(jí)作動(dòng)器的控制仿真結(jié)果進(jìn)行了比較,表明作動(dòng)器的位置布放與初級(jí)激勵(lì)以及腔內(nèi)聲場(chǎng)密切相關(guān),否則容易引起控制溢出問(wèn)題。2.對(duì)多作動(dòng)器對(duì)彈性板結(jié)構(gòu)-聲耦合噪聲場(chǎng)的控制性能和機(jī)理進(jìn)行了研究,針對(duì)兩塊彈性板結(jié)構(gòu),對(duì)作動(dòng)器的控制力的復(fù)強(qiáng)度進(jìn)行了優(yōu)化;首次提出了根據(jù)受激彈性板上聲壓級(jí)分布輪廓的方法對(duì)次級(jí)作動(dòng)器的位置參數(shù)進(jìn)行了優(yōu)化;同時(shí)從全局聲勢(shì)能和局部聲壓級(jí)角度,對(duì)次級(jí)作動(dòng)器的數(shù)量提出了選擇原則,為實(shí)際工程應(yīng)用中作動(dòng)器的選擇提供理論基礎(chǔ)。3.將MAS分布協(xié)同控制策略應(yīng)用到封閉空間噪聲的智能單元分布控制中,由于封閉空間噪聲的有源控制的分布特點(diǎn),與MAS系統(tǒng)有著天生的契合度。首先設(shè)計(jì)了MAS中的噪聲控制Agent,并給出了Agent操作域的多種的設(shè)計(jì)方法。為設(shè)計(jì)基于MAS的封閉空腔噪聲的智能單元分布控制系統(tǒng)框架奠定了基礎(chǔ)。4.研究了MAS間多Agent的協(xié)作,對(duì)MAS的協(xié)作這個(gè)核心問(wèn)題,進(jìn)行了詳細(xì)的分析與設(shè)計(jì),分別設(shè)計(jì)了黑板模型協(xié)作、經(jīng)典合同網(wǎng)協(xié)議協(xié)作和改進(jìn)合同網(wǎng)協(xié)議的協(xié)作方法。將信任機(jī)制以及投標(biāo)篩選策略引入了經(jīng)典合同網(wǎng)協(xié)議,并設(shè)計(jì)了MAS有源控制系統(tǒng)的基于改進(jìn)合同網(wǎng)協(xié)議的協(xié)作流程。5.對(duì)多Agent間的交互通信進(jìn)行了研究,對(duì)KQML原語(yǔ)進(jìn)行了分析與擴(kuò)展,使之適應(yīng)MAS間的通信。并首次將KQML應(yīng)用到封閉空間噪聲的有源控制MAS系統(tǒng),并使用KQML原語(yǔ)編寫(xiě)了MAS間Agent之間的協(xié)作過(guò)程。6.設(shè)計(jì)了噪聲控制器Agent、PZT和傳聲器構(gòu)造的相當(dāng)于智能單元的Agent控制單元,來(lái)對(duì)封閉空腔進(jìn)行有源結(jié)構(gòu)聲控制,并基于改進(jìn)CNP協(xié)議建立了基于MAS的分布控制框架,并進(jìn)行了仿真,結(jié)果表明MAS的分布控制效果明顯。7.在dSPACE及Matlab/Simulink在環(huán)實(shí)時(shí)控制平臺(tái)上搭建了試驗(yàn)臺(tái)架,實(shí)現(xiàn)了基于MAS的封閉空腔智能單元分布控制系統(tǒng),在給定初級(jí)激勵(lì)的相關(guān)參數(shù)的條件下,對(duì)封閉聲腔實(shí)施了雙通道的基于MAS的有源結(jié)構(gòu)聲控制,取得了較好的試驗(yàn)效果,證明了將MAS應(yīng)用到封閉空間智能單元分布控制系統(tǒng)的有效性。
[Abstract]:Active control and engineering application of closed space noise have been a hot topic in the academic and engineering fields for many years. Because most of the closed spaces exist in the closed space, and the active control system has distributed characteristics, the overall structure of the active control system becomes more complex and the whole control is controlled. At the same time, the sound field in the closed space may change at any time in the practice or the controller may fail at any time. At this time, the common active system is intelligent, the flexibility is not enough, and the control effect may be counterproductive. Therefore, the distribution coordination control problem of the complex integral control structure and the intelligent energy unit is studied, and the cavity is highly effective. The noise reduction in the internal sound field is particularly important. This paper studies the intelligent unit distribution control mechanism of the noise in the closed space, and applies the theory of the MAS distribution control of the multi-agent system to the closed cavity active structure sound control. The closed cavity model composed of two elastic plates is proposed and the structure acoustic coupling in the closed cavity is used. The combined system is analyzed, the complex strength of the actuator control force and the position parameters of the actuator are optimized, and the general selection principle of the number of sensors is given from the two aspects of the global control and the local control. The realization of the active control system of the closed space noise and the Agent intelligent unit for the noise control are studied by the MAS. The structure of MAS is analyzed, and each Agent operating domain in MAS is designed. The application of interactive communication between Agent units in MAS is discussed, and the multi Agent cooperative mechanism based on improved contract network protocol is studied. Finally, a closed space active based on MAS is given. The process of cooperation between Agent units of the control system. A system framework of distributed control of the closed space intelligent unit based on MAS is established and simulated. Finally, a test platform is built on the dSPACE/Simulink platform and the MAS test is carried out. It shows that the intelligent unit distribution control of the closed space noise based on MAS has obtained better control. The main contents and innovations of this paper are as follows: 1. the theoretical model of the structure acoustic coupling field and the surface vibration of the elastic plate in the cavity is derived by the acoustic elastic method, which is composed of two elastic plates. The overall mean sound potential energy of the cavity is established to control the overall sound potential energy of the cavity. The two order function of the target is made, and the formula for the optimum secondary force and the maximum noise reduction is given. The comparison of the control simulation results of the secondary actuator arranged on the stimulated elastic plate and the radiant elastic plate is made. The results show that the placement of the actuator and the primary excitation are closely related to the sound field of the cavity, otherwise it is easy to cause control. The control performance and mechanism of the multi actuator on the acoustic coupling noise field of the elastic plate structure are studied by.2.. The complex strength of the control force of the actuator is optimized for two elastic plate structures. The position parameters of the secondary actuator are proposed for the first time on the basis of the profile of the acoustic pressure level distribution wheel on the excited elastic plate. At the same time, the selection principle is put forward for the number of secondary actuators from the global sound potential and the local sound pressure level, which provides a theoretical basis for the selection of actuators in practical engineering applications..3. applies the MAS distribution cooperative control strategy to the intelligent unit distribution control of closed space noise, because the active noise is closed to the closed space. The distribution characteristics of control have a natural fit with the MAS system. First, the noise control Agent in MAS is designed, and a variety of design methods of the Agent operating domain are given. The basis for designing the framework of the intelligent unit distribution control system based on MAS for the closed cavity noise is established..4. has studied the cooperation of multi Agent between MAS and the collaboration of MAS. A detailed analysis and design are carried out. The cooperation method of blackboard model cooperation, classic contract network protocol cooperation and improved contract network protocol are designed respectively. The trust mechanism and tender screening strategy are introduced into the classic contract network protocol, and the cooperative process based on the improved contract network protocol based on the MAS active control system is designed. .5. studies the interactive communication between multiple Agent, analyzes and extends the KQML primitives to adapt to the communication between MAS, and applies KQML to the active control MAS system of closed space noise for the first time, and uses KQML primitives to write a cooperative process between Agent between MAS and.6., which is designed for Agent, PZT and microphone. It is equivalent to the Agent control unit of the intelligent unit to control the active structure of the closed cavity. Based on the improved CNP protocol, a distributed control framework based on MAS is set up, and the simulation results show that the distribution control effect of the MAS is obvious.7. in dSPACE and Matlab/Simulink on the ring real time control platform. A closed cavity intelligent unit distributed control system based on MAS is used. Under the given parameters of primary excitation, a two channel active structure acoustic control based on MAS is implemented on the closed sound cavity, and a better experimental result is obtained. It is proved that the application of MAS to the distributed control system of closed space intelligence unit is effective.
【學(xué)位授予單位】:東南大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2015
【分類號(hào)】:TB53
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