【作者】 王飞；

【导师】 林成武；

【作者基本信息】 沈阳工业大学 ， 检测技术及自动化装置， 2005， 硕士

【摘要】 风能是目前世界上最具发展潜力的新能源,世界发达国家都在深入研究和积极开发。随着计算机与自动控制技术的飞速发展,风力发电技术的发展极为迅速,其单机容量从最初的数十千瓦级发展到最近进入市场的兆瓦级机组;控制方式从基本的定桨距失速型控制向变桨距控制直到最新的变速控制发展。目前的研究重点是采用双馈异步发电机的并网运行变速风力发电机组的控制技术。 为了使风电实现价格低廉有效,以及系统运行平稳的优良特性,采用一些高级的控制方法就尤为必要了。在本论文中,所采用的是非线性与自适应控制理论对风机进行控制。基于其动态特性的机械性,所以使用非线性与自适应控制对发电机的励磁电压实现在线调节。通过理论分析与计算机的仿真,可以证明这种方法能够实现平稳性以及对异步转子的跟踪性能。 作为论文的主要部分,着重研究的是模糊控制这一新兴科学在风能控制系统中的应用,己应用模糊逻辑控制技术实现了风能控制系统的跟踪控制器的设计,在设计阶段中采用了风速阶跃响应模型。所提出的风能控制系统的模糊逻辑控制器的性能采用真实数据进行测试,它的鲁棒性和有效性由控制器仿真结果加以证明。 论文的最后一部分,针对模糊控制系统的复杂性与不确定性,本文采用的是李亚普诺夫的稳定性理论,对所设计的模糊控制系统进行了稳定性分析,同时给出了判断系统全局渐稳定的充分条件。更多还原

【Abstract】 Globally enthusiastic research has been focused on the exploitation of wind power as a source of renewable energy. Benefited from the ceaseless development of information technology and control technique, research on grid-connected wind power generation has been in fast progress, with commercial application from several kilowatts up to more than one megawatts per unit, and category of controls from stall type to pitch regulation type up to the state-of-the-art varying speed type.To make wind power systems truly economical and imperative, in this paper we develop a control scheme for wind turbine using nonlinear and adaptive control theory. Based on both mechanical and electrical dynamics, nonlinear and adaptive control algorithms are derived to on-line adjust the excitation winding voltage of the generator. This method is shown to be able to achieve smooth and asymptotic rotor speed tracking, as justified by both analysis and computer simulation.As this paper’s primary part, we mainly study the application of the new rising science-intelligent control technique has been implemented to design the tracking control of the wind energy control system. A wind speed step model was used in the design phase. The performance of the wind energy control system with the proposed fuzzy logic controller is tested using real meteorological data. Its robustness and effectiveness are demonstrated by the simulation results of the controlled system.As this paper’s last part, as wind is an uncontrolled and stochastic source of power because its speed is continuously changing in magnitude and direction, thus make the fuzzy control system much more complicated and uncertain. The controller is design by state feedback for each local model separately. The stability of the whole closed-loop fuzzy system listing the maximum power from the wind energy system and transferring this power to utility. Also proved via the piecewise Lyapunov function.更多还原