Development of Intelligent Reconfigurable Control Algorithms and a Software Design Toolbox for Autonomous Systems

Period of Performance: 05/18/2000 - 11/30/2004


Phase 2 SBIR

Recipient Firm

Scientific Systems Company, Inc.
500 West Cummings Park Array
Woburn, MA 01801
Principal Investigator


The main objectives of the SBIR project are: (1) To explore different theoretical and practical aspects of Autonomous Intelligent Flight Control Systems (AI-FCS); (2) To carry out the design of advanced AI-FCS algorithms; (3) To demonstrate their intelligent control capabilities; and (4) To develop a related software tool in the Open Control Platform (OCP). In Phase I we identified major elements of AI-FCS and introduced related measures of Sensitivity-To-Failures (STF), Achievable Dynamic Performance (ADP), and Control Input Redundancy (CIR). We also evaluated the performance using adaptive multiple model-based Failure Detection and Identification (FDI) and Adaptive Reconfigurable Control (ARC) algorithms on Boeing's Tailless Advanced Fighter Aircraft (TAFA) under control effector failures. In Phase II we will carry out the following tasks: (1) Further study of STF, CIR, ADP and other concepts for failure management; (2) Design robust multi-model AI-FCS algorithms using Model Predictive Control principles; (3) Extend the results to nonlinear TAFA models; (4) Extend the results to other types of failures and battle damage; (5) Implement AI-FCS in OCP; and (6) Demonstrate the autonomous intelligent capabilities through high-fidelity simulations. Boeing Phantom Works will provide technical and commercialization support.