Robust Nonlinear Control Designs for Complex Dynamic System

9360677林复杂动态系统固有的非线性和不确定性一直是自动驾驶仪设计的一个巨大挑战，自动驾驶仪要求在可能的交战中在所有飞行条件下都具有令人满意的性能。为了设计高性能的自动驾驶仪，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。这些方法的独特之处包括：(1)它们将由于严重的运动和惯性耦合以及空气动力学引起的非线性动力学纳入设计过程；(2)它们提供了稳健的方案来考虑由于空气动力学和弯曲运动等引起的模型不确定性；(3)它们提供了自适应机制来处理质量和惯量等参数的变化。这些特性都有助于提高复杂动力学系统的性能。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件和培训课程。

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.