Organizational maintenance manual [microform] : turret for combat engineer vehicle, M728 (2350-00-795-1797).

"September 1980"--Vol. 3, pt. 3.

Realistic coherent phantom track generation by a group of electronic combat aerial vehicles

We consider the problem of generating a realistic coherent phantom track by a group of ECAVs (Electronic Combat Aerial Vehicles) to deceive a radar network. The phantom track considered is the trajectory of a missile guided by proportional navigation. Sufficient conditions for the existence of feasible ECAV trajectories to generate the phantom track is presented. The line-of-sight guidance law is used to control the ECAVs for practical implementation. A performance index is developed to assess the performance of the ECAVS. Simulation results for single and multiple ECAVs generating the coherent phantom track are presented.

Operator's manual : armored combat earthmover (ACE), M9 (2350-00-808-7100).

"June 1992."

Hand receipt covering contents of components of end item (COEI), basic issue items (BII), and additional authorization list (AAL) for armored combat earthmover (ACE), M9 (NSN 2350-00-808-7100).

"June 1992."

Direct support, general support, and depot maintenance repair parts and special tool lists for hull, tank, combat, full-tracked : 152-mm gun-launcher, M60A1E2 W/E (2350-930-3590), tank combat, full-tracked ... vehicle, combat engineer, full-tracked ....

"February 1970."

Hand receipt covering contents of components of end item (COEI), basic issue items (BII), and additional authorization list (AAL) for armored combat earthmover (ACE), M9 (NSN 2350-00-808-7100).

"October 1990."

Operator's manual : armored combat earthmover (ACE), M9 (2350-00-808-7100).

"October 1990."

Direct support and general support maintenance manual. turret for combat engineer vehicle, M728 (2350-00-795-1797).

Includes index.

Organizational maintenance : combat engineer vehicle, full-tracked, M728 (2350-00-795-1797) (hull).

"February 1981."

Operator's manual : launcher and M60A1 tank chassis, transporting, for bridge, armored-vehicle-launched, scissoring type, class 60, 5420-00-889-2020.

"30 August 1985."

Operator's manual : fighting vehicle, infantry, M2 (2350-01-048-5920) and fighting vehicle, cavalry, M3 (2350-01-049-2659) hull.

Includes index.

Organizational, direct support, and general support maintenance manual : launcher, M48A5 tank chassis, transporting, for bridge, armored-vehicle-launched, scissoring type, class 60 (NSN 5420-01-076-6096).

"October 1981."

Forced landing technologies for unmanned aerial vehicles : towards safer operations

While using unmanned systems in combat is not new, what will be new in the foreseeable future is how such systems are used and integrated in the civilian space. The potential use of Unmanned Aerial Vehicles in civil and commercial applications is becoming a fact, and is receiving considerable attention by industry and the research community. The majority of Unmanned Aerial Vehicles performing civilian tasks are restricted to flying only in segregated space, and not within the National Airspace. The areas that UAVs are restricted to flying in are typically not above populated areas, which in turn are the areas most useful for civilian applications. The reasoning behind the current restrictions is mainly due to the fact that current UAV technologies are not able to demonstrate an Equivalent Level of Safety to manned aircraft, particularly in the case of an engine failure which would require an emergency or forced landing. This chapter will preset and guide the reader through a number of developments that would facilitate the integration of UAVs into the National Airspace. Algorithms for UAV Sense-and-Avoid and Force Landings are recognized as two major enabling technologies that will allow the integration of UAVs in the civilian airspace. The following sections will describe some of the techniques that are currently being tested at the Australian Research Centre for Aerospace Automation (ARCAA), which places emphasis on the detection of candidate landing sites using computer vision, the planning of the descent path trajectory for the UAV, and the decision making process behind the selection of the final landing site.

Unit commitment in power systems with plug-in hybrid electric vehicles

With the continued development of renewable energy generation technologies and increasing pressure to combat the global effects of greenhouse warming, plug-in hybrid electric vehicles (PHEVs) have received worldwide attention, finding applications in North America and Europe. When a large number of PHEVs are introduced into a power system, there will be extensive impacts on power system planning and operation, as well as on electricity market development. It is therefore necessary to properly control PHEV charging and discharging behaviors. Given this background, a new unit commitment model and its solution method that takes into account the optimal PHEV charging and discharging controls is presented in this paper. A 10-unit and 24-hour unit commitment (UC) problem is employed to demonstrate the feasibility and efficiency of the developed method, and the impacts of the wide applications of PHEVs on the operating costs and the emission of the power system are studied. Case studies are also carried out to investigate the impacts of different PHEV penetration levels and different PHEV charging modes on the results of the UC problem. A 100-unit system is employed for further analysis on the impacts of PHEVs on the UC problem in a larger system application. Simulation results demonstrate that the employment of optimized PHEV charging and discharging modes is very helpful for smoothing the load curve profile and enhancing the ability of the power system to accommodate more PHEVs. Furthermore, an optimal Vehicle to Grid (V2G) discharging control provides economic and efficient backups and spinning reserves for the secure and economic operation of the power system