SBIR/STTR Research Award

Robust and Adaptive Algorithms for Backlash and Friction Compensation in Precision Weapon Pointing Systems

Award identifier 01dcca3ca80316047b376f3931638534158878fea970d2bfbac24ba4416445edAwarding agency Department of Defense · Army

Award amount

$99,991

Program and phase

SBIR · Phase I

Award year

1997

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
SCIENTIFIC SYSTEMS COMPANY, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
C12TQVKF5413
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Future weapon platforms will require highly precise pointing and tracking capabilities in the presence of unpredictable terrain motions, unmodeled gun barrel flexure, nonlinear and time-varying parasitics such as backlash, friction. saturation and recoil shocks etc. It is thus necessary to develop controllers that achieve rapid and precise tracking capabilities in presence of all these hard nonlinearities and unmodeled dynamics. The proposed effort will be directed towards developing controllers and analyzing the possible improvements in performance that can be achieved for the gun turret system using the following three approaches: (a) Robust Adaptive Nonlinear Control (RANC), (b) Nonlinear Model Predictive Control (NMPC) and (c) Nonlinear Robust Servo Control (NRSC). The key advantages of these approaches are: RANC - using this approach one can directly and non-conservatively incorporate the qualitative knowledge of the structure of the nonlinearities (such as backlash) into the design, even without accurate knowledge of the model parameters; NMPC - in this framework it is possible to handle the known nonlinearities, constraints in states and inputs (e.g. saturation, limit on rate of variations etc.) and time variations of the system; NRSC - this approach provides a methodology' for control design to achieve accurate tracking in the presence or significant modeling uncertainty. Specific Phase I tasks are: (1) Modeling of the system nonlinearities and the overall system dynamics, (2) Robust Adaptive Nonlinear Control. design, (3) Nonlinear Model Predictive Control design, (4) Nonlinear Robust Servo Control design, and (5) Testing and comparison of these three approaches on a simulated model of the gun turret system. Prof. S. Sastry from UC Berkeley and Dr. S. Jain from Polytechnic University Brooklyn will serve as consultants on the project. The commercial applications of this technology are enormous and exist in areas such as the production of optical instruments and devices. electronics industry, high precision machine tools, and other computer controlled machinery such as robotic manipulators.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

464 SBIR/STTR records share this UEI (1983–2025). Reported award amounts total $186,567,405. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Energy, Department of Health and Human Services, Department of Homeland Security

Agency intelligence

Department of Defense

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