Design Assistant for Application of System Identification and Adaptive Control to Aircraft Flight Systems.
Small Business Information
Scientific Systems Company,
500 west Cummings Park, Woburn, MA, 01801
Dr. Raman K. Mehra/dr. S.
AbstractOver the last 30 Years, a great deal of research has been done in the fields of on-ine and off-line system Identification (SI) and Adaptive Control (AC). However, applications of these methods in Flight Control practice have not kept pace with the theoretical developments. A need exists for a design guide to assist control system designers in applying various parameter identification and adaptive control algorithms to practical flight control system design problems. The objective of the proposed Phase I and II SBIR effort is to develop not only a design handbook addressing the above applications but also an expert Design Assistant (DA) and Computer Based Training (CBT) package, which will guide the user in the application of SI and AC methods. Specific Phase I technical objective are: 1. Perform State-of-the-Art (SOTA) survey of on-line and off-line SI techniques for linear and nonlinear dynamic systems. 2. Select a set of SI design challenge problems related to aircraft flight testing, self-repairing control design, on-board diagnostics and adaptive flutter suppression. 3. Develop design guidelines and rules for matching SI problems and techniques. 4. Develop top level conceptual designs of the SI Design Assistant (DA) with friendly Human Computer Interface and of the SI Computer Based Training (CBT) software packages. Phase II will involve coding, testing, implementation and delivery to Navy of DA and CBT packages for both Si and AC algorithms. SAIC and Lockheed-Martin will provide technical support during Phases I & II and commercialization support during Phase III.
* information listed above is at the time of submission.