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Novel Signal Processing Algorithms to Exploit and Classify Active Sonobuoy…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
44720
Program Year/Program:
1999 / SBIR
Agency Tracking Number:
N992-4250
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
AETC, INC.
8910 University Center Lane Suite 900 San Diego, CA 92122 0101
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1999
Title: Novel Signal Processing Algorithms to Exploit and Classify Active Sonobuoy Returns
Agency / Branch: DOD / NAVY
Contract: N992-4250
Award Amount: $67,022.00
 

Abstract:

Not Available SSCI proposes to develop robust software-enabled intelligent control algorithms and adaptive control design toolkit for rapid controller design and prototyping for autonomous systems operating under highly unpredictable circumstances such as sensor and actuator failures, large external environmental disturbances, parametric uncertainties, and hard and safety constraints on the variables of interest. The proposed approach to solving this problem is based on the framework on Multiple Models, Switching and Tuning and Adaptive Interacting Multiple Observers for fast and accurate Failure Detection and Identification (FDI) in the presence of failures and damages; use of multiple reference models and combined robust and adaptive control for fast and efficient control reconfiguration, and Model Predictive Control (MPC) for handling different constraints. To achieve these objectives the following tasks will be carried out: (i) Failure modeling, sensitivity analysis and achievable performance determination; (ii) Design of multiple reference models and robust stabilizing controllers; (iii) Development of adaptive decentralized FDI observers (iv) Development of robust adaptive re-configurable flight control algorithms; (v) Testing, turning and performance evaluation of the control algorithms on a Boeing's Tailless Advanced Fighter Aircraft (TAFA benchmark example in collaboration with Boeing (vi) Validation of our design using the Game-theoretic approach in collaboration with UC Berkley; (prof. Sastry) (vii) Development of the Control Design software toolkit; (viii) Delivery of the Control Design Toolkit, all test results, associated documentation and final report; The FDI and MPC software modules developed by SSCI will be used as the starting point in the development of the proposed control system design software toolkit. Boeing Phantom Works will provide both technical and commercialization support on all phases of the project.

Principal Investigator:

Kevin Delaney
6194501211

Business Contact:

Small Business Information at Submission:

AETC, INC.
8910 University Center Lane Suite 900 San Diego, CA 92122

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No