Optimal Motion Stabilization Control Of An Electro-Optical Sight System

Development of precision, unmanned mobile tracking and pointing systems subjected to rough vehicular disturbances requires the use of robust, wideband, optimal-adaptive-intelligent motion stabilization control systems. Practical implementation of such theory is impeded by hardware induced constraints such as mechanical resonance, noise, and plant uncertainties. Several techniques for overcoming these hardware constraints have been demonstrated in Lockheed's long term Controls R&D Program for developing advanced mobile tracking and pointing systems. This paper presents the findings of a recent study to determine the applicability of the Linear-Quadratic-Gaussian/Loop-Transfer-Recovery (LQG/LTR) design methodology to the development of wideband gyro stabilization control of mobile electro-optical sight systems. In the presence of high order plant dynamics and uncertainties, LQ control methods are normally confined to low bandwidth loops. The ability of the LQG/LTR methodology to generate robust, wideband, optimal motion stabilization control of plants containing high frequency dynamics and random base motion disturbances is described. An overview of the LQG/LTR design procedure is presented for background knowledge. Use of the LQG/LTR design technique to modify control of an existing gyro stabilized EO sight system is discussed and study findings are reviewed.