Robust Nonlinear Control Designs for Complex Dynamic System

复杂动态系统的鲁棒非线性控制设计

• 批准号: 9360677
• 负责人: Ching-Fang Lin
• 金额: $ 6.49万
• 依托单位: American GNC Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-04-01 至 1995-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9360677&HistoricalAwards=false
• 关键词: Robust; Nonlinear; Control; Designs; Complex

9360677 Lin The nonlinearity and uncertainty inherent in a complex dynamic system have been a great challenge to the autopilot design that is required to have satisfactory performance for all flight conditions in probable engagements. Several advanced robust nonlinear approaches, namely, inversion- based control laws, analytical gain scheduling, and nonlinear servo-regulator are proposed to design a high performance autopilot. The unique features of these approaches include that (1) they incorporate the nonlinear dynamics due to severe kinematic and inertial coupling as well as aerodynamics into the design process; (2) they furnish robust scheme to account for model uncertainties due to aerodynamics and bending motion, etc.; and (3) they provide adaptive mechanism to handle parameter variations of the mass and inertia, etc. Each of these features works to enhance the performance of complex dynamic system. The deliverables include a comprehensive nonlinear design/analysis tool together with detailed documentations and training courses.

小行星9360677 复杂动力学系统固有的非线性和不确定性对自动驾驶仪的设计提出了很大的挑战，要求自动驾驶仪在各种可能的飞行条件下都具有令人满意的性能。 提出了几种先进的鲁棒非线性方法，即基于逆的控制律、解析增益调度和非线性伺服调节器，用于设计高性能的自动驾驶仪。 这些方法的特点是：（1）在设计过程中考虑了由于运动学和惯性耦合引起的非线性动力学以及空气动力学，（2）对由于空气动力学和弯曲运动等引起的模型不确定性提供了鲁棒的解决方案，（3）在设计过程中考虑了由于惯性耦合引起的非线性动力学，（4）在设计过程中考虑了由于惯性耦合引起的非线性动力学。（3）它们提供了自适应机制来处理质量和惯性等参数的变化。这些特性的每一个都有助于提高复杂动态系统的性能。 交付成果包括一个全面的非线性设计/分析工具，以及详细的文档和培训课程。