本文關(guān)鍵詞：基于流體故障知識島的液壓系統(tǒng)容錯技術(shù)研究　出處：《重慶大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 液壓系統(tǒng) 液壓容錯 流體故障知識島 流體信息感知

【摘要】：隨著現(xiàn)代化工業(yè)的持續(xù)發(fā)展和科學(xué)技術(shù)的不斷進(jìn)步，流體傳動、模糊控制和相關(guān)的容錯理論得到了廣泛的應(yīng)用，并往往處于控制和動力傳輸?shù)闹匾诵牡匚�。同時液壓系統(tǒng)正朝著大規(guī)模以及復(fù)雜化的方向發(fā)展，這些系統(tǒng)的高可靠性和安全性也顯得越來越重要。毫無疑問，，液壓系統(tǒng)的容錯控制問題研究具有重大的應(yīng)用價值。 當(dāng)前，國內(nèi)外有諸多專家學(xué)者對控制系統(tǒng)的容錯研究已經(jīng)建立了較為成熟的理論體系，其中大部分研究內(nèi)容集中在控制系統(tǒng)容錯策略和容錯控制器的設(shè)計，針對液壓系統(tǒng)領(lǐng)域也主要是對電控級進(jìn)行容錯控制器設(shè)計，面向液壓系統(tǒng)功率級容錯的研究相對較少。因此，本文針對傳統(tǒng)的硬件冗余容錯和解析容錯方法存在的不足，提出基于流體故障知識島的液壓系統(tǒng)容錯技術(shù)這一創(chuàng)新理念。通過對流體中多種異常信息進(jìn)行直接的感知、處理運(yùn)算和判斷，將結(jié)果直接用于驅(qū)動液壓容錯單元執(zhí)行容錯任務(wù)。這樣和傳統(tǒng)容錯方法相比，信息流通路徑更短，信息處理實時性強(qiáng)，更重要的是實現(xiàn)了液壓系統(tǒng)功率級容錯，同時還能大大簡化系統(tǒng)的結(jié)構(gòu)。 本文首先對常見液壓故障表現(xiàn)形式的故障機(jī)理進(jìn)行歸納和總結(jié)，這是進(jìn)行流體故障知識島容錯技術(shù)研究必要的前提。在此基礎(chǔ)上，本文以流體故障知識島壓力流量復(fù)合控制模塊為例進(jìn)行了原理性設(shè)計，并對其中的壓力控制單元和流量控制單元做了穩(wěn)態(tài)和動態(tài)特性分析。最后利用仿真工具AMESim對自行設(shè)計的流體故障知識島壓力感知控制模塊進(jìn)行仿真計算分析，并在全液壓自動鉆機(jī)平臺上進(jìn)行了試驗測試，對壓力感知控制模塊的實際容錯控制性能進(jìn)行了研究。仿真與試驗的結(jié)果表明，本文提出的基于流體故障知識島的新型液壓容錯技術(shù)切實提高了實際液壓系統(tǒng)的可靠性和安全性，具有重要的實際應(yīng)用價值。
[Abstract]:With the continuous development of modern industry and the progress of science and technology, fluid transmission, fuzzy control and related fault-tolerant theory have been widely used. And often in the control and power transmission of an important core position. At the same time, hydraulic systems are moving towards the direction of large-scale and complex, the high reliability and security of these systems is becoming more and more important. The research on fault tolerant control of hydraulic system has great application value. At present, many experts and scholars at home and abroad have established a more mature theoretical system for the fault tolerance of control systems, most of which focus on the design of fault-tolerant strategies and fault-tolerant controllers of control systems. Aiming at the hydraulic system field, the fault tolerant controller is mainly designed for the electronic control level, so the research of fault tolerance for the power level of the hydraulic system is relatively few. This paper aims at the shortcomings of the traditional hardware redundancy fault-tolerant and analytic fault-tolerant methods. This paper puts forward the innovative idea of fault tolerant technology of hydraulic system based on fluid fault knowledge island. By directly perceiving, processing and judging a variety of abnormal information in fluid. The result is directly used to drive hydraulic fault-tolerant unit to perform fault-tolerant task. Compared with the traditional fault-tolerant method, the information flow path is shorter, the information processing is real-time, and more importantly, the fault tolerance of hydraulic system power level is realized. At the same time, the structure of the system can be greatly simplified. In this paper, the fault mechanism of common hydraulic fault representation form is summarized, which is the necessary premise of fault tolerance technology of fluid fault knowledge island. On this basis. In this paper, the fluid fault knowledge island pressure and flow control module is used as an example to carry out the principle design. The steady and dynamic characteristics of the pressure control unit and the flow control unit are analyzed. Finally, the pressure sensing control module of the fluid fault knowledge island is simulated by using the simulation tool AMESim. Computational analysis. The experiment is carried out on the platform of the hydraulic automatic drilling rig, and the actual fault-tolerant control performance of the pressure sensing control module is studied. The results of simulation and test show that. A new hydraulic fault tolerant technique based on fluid fault knowledge island proposed in this paper improves the reliability and safety of practical hydraulic system and has important practical application value.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TH137

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