本文選題：風(fēng)電葉片 + 后固化　； 參考：《山東理工大學(xué)》2016年碩士論文

【摘要】：后固化是風(fēng)電葉片生產(chǎn)制造過(guò)程中的關(guān)鍵環(huán)節(jié)之一,該過(guò)程中葉片型腔內(nèi)部的恒溫控制效果將直接影響到產(chǎn)品的最終質(zhì)量。目前后固化常用的電阻絲加熱方式由于不具備吸熱特性,因此溫度變化具有非線性、時(shí)滯性而很難進(jìn)行恒溫控制,極易造成葉片損傷。因此本文提出了循環(huán)水加熱的溫度控制模式,采用自適應(yīng)模糊PID控制技術(shù)實(shí)現(xiàn)型腔內(nèi)部恒溫控制,并針對(duì)目前溫控系統(tǒng)存在的智能程度低、監(jiān)控效果差等問(wèn)題,研發(fā)了一整套風(fēng)電葉片型腔后固化恒溫控制系統(tǒng),具體研究成果如下:首先,建立了基于水加熱的總體溫度控制方案。根據(jù)水加熱器的特性,控制系統(tǒng)采用S7-200PLC控制可控硅導(dǎo)通角的溫控方案。根據(jù)現(xiàn)場(chǎng)生產(chǎn)條件,組建了基于Zigbee技術(shù)的溫度采集無(wú)線傳感網(wǎng)絡(luò),開(kāi)發(fā)了相應(yīng)的無(wú)線傳輸模塊和傳感器硬件電路并編寫(xiě)了協(xié)議程序和數(shù)據(jù)采集程序;采用數(shù)字濾波技術(shù)保障了溫度信號(hào)采集的準(zhǔn)確性;基于Delphi軟件設(shè)計(jì)了測(cè)試界面。測(cè)試結(jié)果表明,無(wú)線傳感器網(wǎng)絡(luò)進(jìn)行數(shù)據(jù)采集具有較高的穩(wěn)定性和準(zhǔn)確性。其次,將模糊控制理論與PID控制技術(shù)相結(jié)合,開(kāi)發(fā)了用于葉片型腔內(nèi)恒溫控制的自適應(yīng)模糊PID控制算法。該算法通過(guò)采集的葉片型腔內(nèi)部溫度,在規(guī)定的采樣周期內(nèi),計(jì)算出內(nèi)部溫度實(shí)測(cè)值與設(shè)定值的偏差和偏差變化率,將比較值送入模糊控制器進(jìn)行運(yùn)算,在線調(diào)用模糊控制規(guī)則對(duì)PID參數(shù)進(jìn)行修改,計(jì)算得出PLC輸出端的電流值,自適應(yīng)調(diào)節(jié)水加熱器輸出功率,保證風(fēng)電葉片后固化型腔內(nèi)部溫度穩(wěn)定。仿真結(jié)果表明,該控制算法具有良好的動(dòng)態(tài)特性。試驗(yàn)結(jié)果表明,該算法控制下的后固化溫度誤差基本穩(wěn)定在±2°C,完全能滿足葉片生產(chǎn)需要。最后,基于MCGS組態(tài)軟件,開(kāi)發(fā)了友好的上位機(jī)人機(jī)監(jiān)控界面,包括主界面和各個(gè)子界面,實(shí)現(xiàn)了當(dāng)前運(yùn)行狀態(tài)的實(shí)時(shí)顯示、數(shù)據(jù)存儲(chǔ)及報(bào)警功能,并完成了與下位機(jī)的PPI通信,保證了整個(gè)后固化過(guò)程的順利進(jìn)行。
[Abstract]:Post-curing is one of the key links in the manufacturing process of wind turbine blade. The effect of constant temperature control in the blade cavity will directly affect the final quality of the product. At present, the common heating method of resistive wire after curing is not endothermic, so the temperature change is nonlinear and time-delay, so it is difficult to control the temperature of resistor wire, so it is easy to cause blade damage. Therefore, the temperature control mode of circulating water heating is put forward in this paper. The adaptive fuzzy PID control technology is used to realize the constant temperature control in the cavity, and the current temperature control system has some problems such as low intelligence, poor monitoring effect and so on. A set of wind turbine blade cavity solidification constant temperature control system is developed. The specific research results are as follows: firstly, the overall temperature control scheme based on water heating is established. According to the characteristics of water heater, the temperature control scheme of S7-200PLC is used to control the turn-on angle of SCR. According to the field production conditions, the temperature acquisition wireless sensor network based on Zigbee technology is established, the corresponding wireless transmission module and sensor hardware circuit are developed, and the protocol program and data acquisition program are compiled. The accuracy of temperature signal acquisition is guaranteed by digital filtering technology, and the test interface is designed based on Delphi software. The test results show that data acquisition in wireless sensor networks has high stability and accuracy. Secondly, combining fuzzy control theory with PID control technology, an adaptive fuzzy PID control algorithm for blade cavity temperature control is developed. By collecting the internal temperature of the blade cavity, the deviation and the rate of deviation between the measured and set values of the internal temperature are calculated in the specified sampling period, and the comparison value is sent to the fuzzy controller for operation. The parameters of PID are modified by using fuzzy control rule on line, the current value of PLC output end is calculated, the output power of water heater is adjusted adaptively, and the internal temperature of solidified cavity after wind turbine blade is guaranteed to be stable. Simulation results show that the control algorithm has good dynamic characteristics. The experimental results show that the error of post-curing temperature under the control of this algorithm is basically stable at 鹵2 擄C, which can completely meet the needs of blade production. Finally, based on the MCGS configuration software, a friendly man-machine monitoring interface is developed, including the main interface and each sub-interface. The real-time display, data storage and alarm function of the current running state are realized, and the PPI communication with the lower computer is completed. The whole post curing process is guaranteed to proceed smoothly.
【學(xué)位授予單位】：山東理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類(lèi)號(hào)】：TP273;TM305

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