Stabilization of Nonlinear Systems with Uncertain Equilibrium States with Application to Energy Efficient HVAC Systems

具有不确定平衡状态的非线性系统的稳定及其在节能 HVAC 系统中的应用

• 批准号: 1607023
• 负责人: Se Young Yoon
• 金额: $ 25.76万
• 依托单位: University of New Hampshire
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1607023&HistoricalAwards=false
• 关键词: Stabilization; Nonlinear; Systems; Uncertain; Equilibrium

Compressors are the main driving components of heating, ventilation and air conditioning (HVAC) systems in modern buildings. The performance and efficiency characteristics of these compressors are given by their characteristic curves, which map the steady-state compressor pressure rise as a function of the gas flow-rate. The peak of the characteristic curve not only determines the maximum operating capacity/efficiency of a compressor, but it also marks the inception point for a system instability known as compressor surge. Control methods for surge have been studied extensively in the literature. These controllers would allow HVAC systems to operate safely at their peak efficiency. However, a common limitation of these surge control methods is that they require exact knowledge of the compressor steady-state characteristics, and their effectiveness degrades rapidly when errors are introduced to the characteristic curve. The objective of this research project is to develop the necessary theoretical tools for this and similar situations, and to use the developed theory to design surge controllers for unknown or uncertain compressor characteristic curves. Analytical tools will be developed to maximize the safe operating region of an HVAC system under the developed controllers, and to quantify the maximum level of uncertainty in the characteristic curve that the system can tolerate. Finally, these results will lead to the development of a surge control method that allows HVAC systems to operate safely and continuously at their peak energy efficiency condition, and is robust to variations in external conditions that may affect the steady state characteristics of the system. The main research objective of this project is to develop new control-theoretic methods for the robust stabilization of nonlinear systems with unknown or uncertain equilibrium states. Most methods for the analysis and control of nonlinear systems assume precise knowledge of the equilibrium states. It is however not always possible to obtain this information accurately when complex nonlinear dynamics are involved, due to model uncertainties and/or system chaotic dynamics. The challenges introduced by uncertain equilibrium states are amplified when nonlinear systems are subjected to strict control constraints. For example, uncertainties may introduce a static offset in the control effort, limiting the control available to compensate for unwanted external disturbances. Furthermore, uncertain equilibrium states can reduce the accuracy of modeling assumptions on the controlled plant, adding further uncertainty to the open loop dynamics. These factors can significantly reduce the domain of attraction of the steady states, even if stability is achieved. This research will provide theoretical arguments to demonstrate the validity of methods considered in the literature for the control of chaotic systems with unknown steady states. Furthermore, these control methods will be extended to incorporate new capabilities using robust and optimal control techniques. The proposed research will offer novel control methods for constrained systems with uncertain steady states, and optimization methods to maximize the corresponding domains of attraction. The motivating application of this research is active control of compressor surge to achieve increased energy efficiency of HVAC systems. Application of the developed control methods to the active control of surge with uncertain characteristic curves will demonstrate the industrial relevance of the methods developed in the project.

压缩机是现代建筑中供暖、通风和空调（HVAC）系统的主要驱动部件。 这些压缩机的性能和效率特性由它们的特性曲线给出，该特性曲线将稳态压缩机压力上升绘制为气体流量的函数。特性曲线的峰值不仅决定了压缩机的最大工作容量/效率，而且也标志着称为压缩机喘振的系统不稳定性的起始点。喘振的控制方法在文献中已被广泛研究。这些控制器将允许HVAC系统以最高效率安全运行。然而，这些喘振控制方法的一个共同的局限性是，它们需要压缩机稳态特性的精确知识，并且当特性曲线引入误差时，它们的有效性迅速降低。本研究项目的目标是开发必要的理论工具，这种情况下和类似的情况下，并使用开发的理论来设计喘振控制器的未知或不确定的压缩机特性曲线。将开发分析工具，以最大限度地提高开发的控制器下的HVAC系统的安全运行区域，并量化系统可以容忍的特性曲线中的最大水平的不确定性。最后，这些结果将导致喘振控制方法的发展，允许HVAC系统在其峰值能量效率条件下安全且连续地运行，并且对于可能影响系统稳态特性的外部条件的变化是鲁棒的。本计画的主要研究目标是发展新的控制理论方法，以解决平衡状态未知或不确定的非线性系统的鲁棒镇定问题。大多数分析和控制非线性系统的方法都假定精确的平衡态知识。然而，由于模型不确定性和/或系统混沌动力学，当涉及复杂的非线性动力学时，并不总是能够准确地获得该信息。当非线性系统受到严格的控制约束时，不确定平衡状态所带来的挑战被放大。例如，不确定性可能会在控制工作中引入静态偏移，限制可用于补偿不必要的外部干扰的控制。此外，不确定的平衡状态会降低受控对象建模假设的准确性，从而进一步增加开环动态的不确定性。这些因素可以显着降低域的吸引力的稳定状态，即使实现稳定。本研究将提供理论依据，以证明文献中所考虑的方法的有效性，为未知稳态混沌系统的控制。此外，这些控制方法将得到扩展，以采用稳健和最佳控制技术来纳入新的能力。该研究将为具有不确定稳态的约束系统提供新的控制方法，以及最大化相应吸引域的优化方法。这项研究的激励应用是主动控制压缩机喘振，以实现提高暖通空调系统的能源效率。将所开发的控制方法应用于具有不确定特性曲线的喘振主动控制，将证明该项目中开发的方法的工业相关性。