The coupling of electrical and thermal faults may lead to the overlay of operation and control characteristics in the air conditioning system, which results in false diagnosis because of the hidden indicators. However, few studies focus on the system characteristic of electrical and thermal coupling faults. There is few achievements about the decoupling and reconciliation methods, either. In this study, the dual thermal characteristics and dual control characteristics are investigated for the electrical and thermal coupling faults in the air conditioning system. The gamming and reconciliation methods of dual characteristics under coupling faults are developed. Firstly, the dual themal characteristics for the faults of air conditioning system are investigated. The forward-propagation and back-propagation analysis models for faults are constructed. Secondly, “passive remedy” is presented for the feedback control loops responding to the thermal faults. The evaluation criteria and optimal response method using both the cooling capacity remedy and efficiency attenuation are developed. In addition, the “reverse interference” principle of electrical fault in the air conditioning system is investigated. The estimation models for the reverse interference of electrical faults are constructed, which are based on the prediction of fault superposition effects. Finally, the coupling principle of electrical and thermal faults based on dual control characteristics is studied for the air conditioning system. The idea to use the passive remedy capacity of feedback control loops is presented. The decoupling method is developed through estimating the reverse interference. The decision making logics based on “passive-remedy-employed and reverse-interference-elimination” are developed to realize characteristics reconciliation in the air conditioning system.
电气故障与热力故障的耦合会导致空调系统的热力与控制特性叠加、诊断指标被掩盖,但领域内尚缺少二者耦合下的机理与解耦方法,而多特性叠加后的调谐研究也鲜有报道。本研究探索空调系统电气与热力故障耦合下的双向热力特性、双向控制特性,研究空调系统跨循环耦合故障下双向特性的博弈机制与调谐方法。首先,揭示了空调系统故障的双向热力特性,建立了空调系统热力故障的正向传播和逆向迁移分析模型。其次,提出了反馈控制应对热力故障的“被动补偿”机制,确定了空调系统以冷量补偿和效率衰减为准则的故障最优化响应方法。然后,探究了电气故障对空调系统的“反向干扰”机理,建立了基于叠加效应估计的电气故障反向干扰预测模型。最后,理清了基于双向控制特性的空调系统电气与热力故障耦合机理,提出了基于反向干扰估计的解耦方法,结合最优化被动补偿能力的思想,实现了空调系统基于“被动补偿利用-反向干扰消除”的决策型多特性调谐控制。
电气故障与热力故障的耦合会导致空调系统的热力与控制特性叠加、诊断指标被掩盖,但领域内尚缺少二者耦合下的机理与解耦方法,而多特性叠加后的调谐研究也鲜有报道。本研究探索了空调系统电气与热力故障耦合下的双向特性,研究了空调系统跨循环耦合故障下双向特性的博弈机制与调谐方法。首先,项目通过研究获得了空调系统故障的双向热力特性,建立了空调系统热力故障的特性分析实验方法,提取了耦合故障特征。其次,项目通过研究提出了反馈控制应对热力故障的“被动补偿”机制,探究了电气故障对空调系统的“反向干扰”机理,建立了基于叠加效应估计的电气故障反向干扰预测模型。最后,研究理清了基于双向控制特性的空调系统电气与热力故障耦合机理,提出了基于反向干扰估计的解耦方法,结合最优化被动补偿能力的思想,实现了空调系统基于“被动补偿利用-反向干扰消除”的决策型多特性调谐控制。本项目研究达到了预期目标,发表高水平SCI国际期刊论文17篇,其中,1区8篇;另外发表国内期刊论文3篇;参加国际会议4次并作了口头报告,参加国内会议4次;申请发明专利2项;培养博士研究生2名,硕士研究生5名。研究成果获得国内外同行的高度关注。
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数据更新时间:2023-05-31
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