面向风电系统的饱和约束下时滞Hamiltonian系统的分析与综合

现代风电机组的复杂性使得控制系统在其中发挥着日益重要的作用。风电系统中广泛存在的执行器、传感器饱和以及时滞等因素，严重影响系统的稳定性和可靠性。本项目以风电系统控制为背景，从中提炼出饱和约束时滞系统的控制这一前沿问题，基于Hamiltonian能量理论，研究其稳定性和控制器设计问题。通过分析执行器和传感器饱和、时滞、不确定同时作用下系统的动态特性，建立系统的Hamiltonian分析与控制的理论方法。解决系统的耗散性、全局/半全局镇定、状态估计、鲁棒自适应观测器设计、输出反馈等问题；将所得结果应用于风电系统控制中，提出基于Hamiltonian能量的饱和约束风电系统的鲁棒控制设计方案，并在风电模拟实验平台上进行验证。本项目将提出饱和约束系统新的分析和设计方法，丰富饱和约束系统的控制理论，同时为提高风电系统运行的稳定性和可靠性提供技术支撑。

The complexity of modern wind turbines necessitates the implementation of advanced control strategy and enables their control systems to play increasingly more important roles. It is known, however, that actuator/sensor saturation and time delays, as widely found in wind power systems, degrade seriously the system’s stability, performance and reliability. Motivated by the wind power generation systems control, this project aims to investigate the stability and control design of time-delay Hamiltonian systems subject to saturation constraints. We adopt a unique approach that exploits the key concepts and techniques of the Hamiltonian energy theory. By analyzing the dynamic characteristics of the system under actuator/sensor saturation constraints, together with the consideration of delay and uncertainty, we develop a framework with theory and methods for nonlinear Hamiltonian system analysis and control, which includes dissipative analysis, global/half global stabilization, state estimation, robust adaptive observer design, output feedback design, etc. As an integral part of this project, we also endeavor to apply the theoretical developments to wind power systems, by developing an energy-based nonlinear control design scheme for wind power systems subject to delay and saturation, which in turn will be validated on the wind power simulation and experimental platform in our lab. The research results of this project will contribute to novel analysis and design methods and enrich the theory of Hamiltonian control systems with saturation constraints and time delays. For its direct and practical relevance, the project will also provide a strong technical basis for the stability and reliability of wind power systems.