基于免疫遺傳PID的輪胎硫化溫度控制的研究
發(fā)布時間：2018-07-28 19:33
【摘要】：硫化是輪胎進行加工的一道工藝,在眾多工藝環(huán)節(jié)中,硫化是一個極其重要的階段。其效果的是否達到工藝要求會直接影響到輪胎的實際使用性能。在硫化參數(shù)中,硫化介質(zhì)溫度最為重要,對其精確控制是硫化程度、硫化均勻度達到工藝要求的前提條件。本文以子午線輪胎的硫化過熱水介質(zhì)為研究對象,針對實際輪胎硫化過程中除氧加熱裝置生產(chǎn)的過熱水溫度波動、控制滯后造成的輸水管道抖動、熱水泵組故障和硫化效果欠佳等現(xiàn)象,分析了補水回水流量變化等因素對其的影響。簡化除氧加熱裝置模型,并結(jié)合假設(shè)條件,以及傳熱規(guī)律和熱平衡理論,建立硫化過熱水溫度控制系統(tǒng)的數(shù)學(xué)模型。本文在參考國內(nèi)外研究現(xiàn)狀的基礎(chǔ)上,分析硫化過熱水溫度控制系統(tǒng)的特性,對于過熱水溫控系統(tǒng)這一非線性復(fù)雜控制對象,常規(guī)PID算法難以實現(xiàn)對過熱水溫度的精確控制,為了克服系統(tǒng)的不確定性和隨機干擾,應(yīng)用PID參數(shù)可變的變參數(shù)PID控制策略,引入非線性函數(shù)。整定的控制器參數(shù)只能對于特定的設(shè)定值變化具有較好的調(diào)節(jié)效果,為了使變參數(shù)PID控制取得更好的效果,本文采用人工免疫算法對該控制器進行優(yōu)化設(shè)計。快速將系統(tǒng)優(yōu)化的解收斂到小區(qū)間內(nèi)的優(yōu)點,優(yōu)化具有較強抗干擾性的變參數(shù)PID。最后通過仿真對采用變參數(shù)PID免疫遺傳算法與采用傳統(tǒng)PID控制器和變參數(shù)PID控制器的硫化過熱水溫度控制系統(tǒng)控制性能進行比較。仿真結(jié)果表明,本文采用的變參數(shù)PID免疫遺傳算法具有精度高、自適應(yīng)性強、魯棒性好的優(yōu)點。
[Abstract]:Vulcanization is a process for tire processing, among which vulcanization is an extremely important stage. Whether the effect meets the process requirements will directly affect the actual performance of the tire. Among the vulcanization parameters, the temperature of vulcanization medium is the most important, and the accurate control of vulcanization degree is the precondition for the uniformity of vulcanization to meet the technological requirements. In this paper, the vulcanized overheated water medium of radial tire is taken as the research object. Aiming at the overhot water temperature fluctuation produced by the deoxygenation heating unit in the actual tire vulcanization process, the jitter of the water pipeline caused by the delay is controlled. The failure of hot water pump group and poor vulcanization effect were analyzed, and the influence of the change of rehydration and backwater flow rate on it was analyzed. The mathematical model of the temperature control system for vulcanized overheated water was established by simplifying the model of the deoxygenation heating device and combining with the hypothetical conditions, the heat transfer law and the theory of heat balance. In this paper, based on the research status at home and abroad, the characteristics of vulcanized overheated water temperature control system are analyzed. For this nonlinear and complex control object, the conventional PID algorithm is difficult to realize the accurate control of the over-hot water temperature. In order to overcome the uncertainty and random disturbance of the system, the variable parameter PID control strategy with variable PID parameters is applied to introduce the nonlinear function. The tuning parameters of the controller can only have a better effect on the change of the specific set value. In order to make the variable parameter PID control obtain better effect, the artificial immune algorithm is used to optimize the controller design in this paper. The system optimization has the advantages of converging the solution of the system optimization to the interval of the system and optimizing the variable parameter PIDs with strong anti-interference. Finally, the control performance of vulcanized overheated water temperature control system using variable parameter PID immune genetic algorithm and traditional PID controller and variable parameter PID controller is compared by simulation. The simulation results show that the variable parameter PID immune genetic algorithm has the advantages of high precision, strong self-adaptability and good robustness.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TQ336.1;TP273
本文編號：2151361
[Abstract]:Vulcanization is a process for tire processing, among which vulcanization is an extremely important stage. Whether the effect meets the process requirements will directly affect the actual performance of the tire. Among the vulcanization parameters, the temperature of vulcanization medium is the most important, and the accurate control of vulcanization degree is the precondition for the uniformity of vulcanization to meet the technological requirements. In this paper, the vulcanized overheated water medium of radial tire is taken as the research object. Aiming at the overhot water temperature fluctuation produced by the deoxygenation heating unit in the actual tire vulcanization process, the jitter of the water pipeline caused by the delay is controlled. The failure of hot water pump group and poor vulcanization effect were analyzed, and the influence of the change of rehydration and backwater flow rate on it was analyzed. The mathematical model of the temperature control system for vulcanized overheated water was established by simplifying the model of the deoxygenation heating device and combining with the hypothetical conditions, the heat transfer law and the theory of heat balance. In this paper, based on the research status at home and abroad, the characteristics of vulcanized overheated water temperature control system are analyzed. For this nonlinear and complex control object, the conventional PID algorithm is difficult to realize the accurate control of the over-hot water temperature. In order to overcome the uncertainty and random disturbance of the system, the variable parameter PID control strategy with variable PID parameters is applied to introduce the nonlinear function. The tuning parameters of the controller can only have a better effect on the change of the specific set value. In order to make the variable parameter PID control obtain better effect, the artificial immune algorithm is used to optimize the controller design in this paper. The system optimization has the advantages of converging the solution of the system optimization to the interval of the system and optimizing the variable parameter PIDs with strong anti-interference. Finally, the control performance of vulcanized overheated water temperature control system using variable parameter PID immune genetic algorithm and traditional PID controller and variable parameter PID controller is compared by simulation. The simulation results show that the variable parameter PID immune genetic algorithm has the advantages of high precision, strong self-adaptability and good robustness.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TQ336.1;TP273
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，本文編號：2151361
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