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Deploying a world wide force that is strategically responsive and dominant at every point on the spectrum of conflict involves the cooperative system development and use of advanced technologies that yield revolutionary capabilities to support the war-fighters needs. This presentation describes an agent based control architecture and prototype implementation developed by ARDEC that enables command and control of multiple unmanned platforms and associated mission packages for collaborative target hand-off/engagement. Current prototypes provide the ability to remotely locate, track and predict the movement of enemy targets on the battlefield using a variety of sensor systems hosted on multiple, non-homogeneous SUAVs and UGVs.

A new approach to MET data extraction is formulated and validated using trajectory simulation data. The projectile dynamics and measurement model are presented. In addition to presenting experimental results of the new MET data extraction methodology and aim-setting optimization for both spin-stabilized and fin-stabilized projectiles, the real-time MET implementation for actual fire control systems based on a componentized decision aid system architecture is also discussed.

related issues include: automation, mission safety, flexible task level control,. multi-manipulator coordination associated with fuzing ammunition in a mobile -resupply vehicle, optimized path planning, a failure tolerant manmachine interface, and a rapid development and prototyping control system environment. These are challenging topics for automated material handing. This paper presents and demonstrates a graphical automated materiel handling approach for the Smart Crane Ammunition Transfer System (SCATS). The Smart Crane Ammunition Transfer System is designed to handle, deliver, and reload missiles/ammunition in the battlefield. This approach facilitates the recycling of resources and speeds up various system development cycles. An intelligent trajectory planner is developed to generate an optimal motion and collision avoidance trajectory for the end-effector and grapple in maneuvering the materiel to its final destination. A Graph Object (GO) is created for each control object. The developed graphical materiel handling system has been successfully tested and demonstrated through on-site experiments. Modern engineering technology is leading to increasingly complex military payloads with even more demanding performance requirements’“. A safer and more efficient advanced smart crane design requires testing and analyzing the environment for predicting and understanding the complex crane response under the simultaneous influence of the hydraulic dynamics, the control system, and the operator’s commands. It also requires the capability to perform materiel identification, obstacle detection and collision avoidance during mission execution.

A reference architecture model of a typical fire control system has been established with the Realtime Object-Oriented Modeling (ROOM) environment, ObjecTime. An external graphics user interface (GUI) has also been developed to communicate with the reference architecture, thus making the reference architecture an ideal tool to test a specific design based on the architecture implementation. The GUI also communicates with an independent ballistics calculation program to send the target parameters and receive the ballistics calculation results. The ObjecTime model, the GUI, and the external ballistics calculation program constitute a demonstration system for the fire control reference architecture.

The Smart Crane Ammunition Transfer System (SCATS) is designed to handle, deliver, and reload missiles/ammunitions in the battlefield. The system objectives are as follow: faster missile reloading, decreased utilization of manpower, increased operator safety, reduced missile/munitions damage, reduced operator skills and training, and increased material flow. In this paper, the smart crane ammunition transfer system is introduced and discussed, including the crane, the hydraulic system, the control system, and the development environment. The emphasis is on the design, analysis, and implementation of the SCATS control system. State-of-the-art engineering techniques, such as robotic control, trajectory generation, sensory processing and task planning, are also addressed as to the way in which they will enhance the SCATS system performance and functionality as applied to the automation of complex material handling and resupply

For a fire control system with a GPS sensor, an inertial measurement unit, and a range laser, two different nonlinear implementations of the target tracking filter, namely the Sigma Eta filter and the square root filter, have been investigated. The filter estimates the position and velocity of a moving target relative to the reticle platform, based on which the reticle commands to engage the target are determined. The Sigma Eta filter is computationally efficient, while the square root filter is inherently robust. The square root filter is proposed to compensate for the numerical instability of the Sigma Eta filter. The performance of these filters is compared through a simulation example.

This paper investigates the application of intelligent control to the XTE spacecraft. Specifically, an intelligent controller, the neural network controller, is studied and designed for the XTE spacecraft. The advantages of intelligent controllers over conventional controllers are analyzed. The simulation results show that the designed intelligent controllers provide a great improvement of the attitude control accuracy under the torque disturbance and achieve an accuracy of 4 arc-sec while the accuracy of the baseline controller is 20 arc- sec and the accuracy requirement is 30 arc-sec (1).

in The rotor Z/N per rev disturbance and the firing disturbance represent major periodic disturbances, whereas wind gusts represent major stochastic disturbances. Compensation for body motion and target motion are also considered as measured disturbances for pointing control. The particular tests reported here were conducted at the Ware Simulation Laboratory, Rock Island Arsenal. The single barrel weapon was mounted in a specially fabricated saddle and placed in the Universal Turret System (UTSI which was originally designed for a gatling gun. The UTS was mounted on the front-end of a helicopter. This frontend was mounted on a six-degree-of-freedom fixed simulator controlled by a hydraulic actuation system. The simulator was capable of creating body motion torques typical of various flight conditions. Objectives for the test were as follows: Demonstrate the lowest possible dispersion with Design and demonstrate linearizing controller, Establish guidelines for successful flight tests, and Evaluate requirements for adaptive control. multiple rounds