HONEYWELL CC-TAIX01底板, CC-TAIX01使用過(guò)程
在使用過(guò)程中存在操作畫(huà)面與DCS操作畫(huà)面不一致、無(wú)法查看控制邏輯、SOE報(bào)警等問(wèn)題，與現(xiàn)場(chǎng)偏差較大，無(wú)法滿(mǎn)足多人同時(shí)培訓(xùn)的需求。為了提升仿真機(jī)培訓(xùn)效果， 2020年客戶(hù)提出改造需求， 和利時(shí)集團(tuán)旗下北京和利時(shí)工業(yè)軟件有限公司（以下簡(jiǎn)稱(chēng)“工軟公司”）為客戶(hù)提供定制化軟件解決方案，為1000MW機(jī)組電廠(chǎng)的順利實(shí)施和現(xiàn)場(chǎng)實(shí)施人員的模擬操作應(yīng)用奠定堅(jiān)實(shí)的基礎(chǔ)。HONEYWELL CC-TAIX01
項(xiàng)目同步建設(shè)脫硫、脫硝、電除塵等先進(jìn)環(huán)保設(shè)施，汽機(jī)采用一次中間再熱、單軸四缸四排汽、沖動(dòng)凝汽式、八級(jí)回?zé)岢槠姆绞剑瑫r(shí)鍋爐為超超臨界參數(shù)變壓直流爐，采用對(duì)沖燃燒方式、固態(tài)排渣、單爐膛、一次中間再熱等先進(jìn)技術(shù)，可有效降低項(xiàng)目能耗。
和利時(shí)仿真畫(huà)面
2.項(xiàng)目實(shí)施情況
工軟公司仿真系統(tǒng)依托以能量、質(zhì)量、動(dòng)量守恒原理為核心建立的流網(wǎng)算法，采用“機(jī)理數(shù)學(xué)伯努利模型+虛擬DPU”技術(shù)，使之與和利時(shí)MACS系列DCS控制系統(tǒng)有機(jī)結(jié)合，具備操作培訓(xùn)、熱控培訓(xùn)、事故演練、控制驗(yàn)證與優(yōu)化、工藝學(xué)習(xí)與優(yōu)化等功能，真實(shí)地模擬現(xiàn)場(chǎng)環(huán)境并正確反映有關(guān)環(huán)境參數(shù)對(duì)機(jī)組運(yùn)行帶來(lái)的影響，為1000MW機(jī)組電廠(chǎng)的順利實(shí)施和現(xiàn)場(chǎng)實(shí)施人員的模擬操作應(yīng)用奠定堅(jiān)實(shí)的基礎(chǔ)。具備如下功能：HONEYWELL CC-TAIX01底板
n 工藝仿真：汽機(jī)、鍋爐、電氣、脫硫脫硝、精處理
n 事故評(píng)分：正常操作、事故處理、自動(dòng)評(píng)分仿真
n 分組功能：可整體演練，亦可分組培訓(xùn)
n 硬手操：盤(pán)臺(tái)硬手操、畫(huà)面軟手操
n 熱工培訓(xùn)：工程組態(tài)、PID整定
由于采用虛擬DPU技術(shù)，仿真機(jī)與現(xiàn)場(chǎng)操作畫(huà)面及邏輯高度一致，仿真系統(tǒng)框架與實(shí)際現(xiàn)場(chǎng)數(shù)據(jù)對(duì)照關(guān)系如下圖所示：
immature. Many classical control theories and concepts need to be further extended to the analysis and design of fuzzy control system:
1) In terms of analytical structure analysis, the structure analysis of TS fuzzy controller needs to be extended to more general cases and MIMO controller; The limit structure theory of general Mamdani and TS fuzzy controllers needs further discussion; At the same time, the analytical theory of fuzzy control for complex systems needs to be further deepened. For example, hierarchical fuzzy control system can solve the dimension disaster of multivariable fuzzy controller, and has been proved to be a universal controller [72]. Therefore, it is necessary to analyze the structure of this kind of controller.
2) The results of fuzzy control stability analysis are still lacking. The current methods are somewhat limited. More general stability criteria, especially the easy to understand and widely used methods based on the analytical structure of fuzzy controller,
