Browse Topic: Unmanned underwater and surface vehicles

Items (35)
Study on a Fuzzy Q-Learning Approach Using the Driver Priori Knowledge for Intelligent Vehicles’ Autonomous Navigation and Control2018-01-10844/3/2018
The functional elements of decision making system are fuzzy, adaptive and self-learning for intelligent ground vehicles. As is well-known, operating environment of unmanned ground vehicles (UGVs) is complex, unknown and time-changing. And on the other hand, exact dynamic model of the vehicle is relatively difficult to gain. However, the changing of special dynamic parameters and the man-made driving laws of velocities and running direction are easily available. Therefore, this paper attempts to provide an approach based on fuzzy Q-learning algorithm for studying autonomous navigation and control system’s design, which aims to make unmanned vehicles adaptive and robust under complex and time-changing environment. The presented approach utilizes the drivers’ empirical knowledge for. Fuzzy inference system introduces the human beings’ successful experiences into the system, and Q-learning mainly pays more attention to the interaction between the robot and the environment and thus keeps on learning until achieving the goal. Through this method, autonomous navigation and control system can be designed accordingly. This paper used a type of the nonholonomic robotic system for the computational experiments so as to verify the algorithm, which only considers necessary candidate conclusions. The final simulation results show the validity of the designed algorithm. The presented algorithm is not dependent on the dynamic model, and is designed in terms of the special model parameters. Therefore, the mentioned approach has strong versatility and transplantable, which can be easily used for penetration maneuver strategies and autonomous maneuver of other type of intelligent vehicles such as unmanned aerial vehicles (UAVs) or autonomous underwater vehicles (AUVs).
Chang, LiangBai, JieHuang, Liangbo
The goal of this work was to develop algorithms and software to generate a path that takes into account the direction of waves and wind as much as possible in order to mitigate potential damage to an autonomous underwater vehicle. A risk-based path planning algorithm to analyze real-world sensory data is combined with an enhanced sea surface model to generate a safe path.
Autonomous Underwater Vehicles (AUVs) are becoming increasingly important for military surveillance and mine detection. Most AUVs are battery powered and have limited lifetimes of a few days to a few weeks. This greatly limits the distance that AUVs can travel underwater. Using a series of submerged AUV charging stations, AUVs could travel a limited distance to the next charging station, recharge its batteries, and continue to the next charging station, thus traveling great distances in a relatively short time, similar to the Old West “Pony Express.”
Experimental Performance Results from a Carbon Dioxide/Oxygen Breathing Diesel Engine9416999/1/1994
Non-air-breathing diesel engine systems have, and continue to be developed for underwater applications. When the engine is operated in such an environment the intake oxidant mixture consists of a combination of oxygen and recycled exhaust gas. The latter will contain combustion gaseous products and may also include additional inert diluents. Since its initial conception in the late nineteenth century, a major problem encountered in the operation of the recycle diesel engine has been the detrimental effect of the recirculated exhaust carbon dioxide upon the engine's performance. To avoid this problem exhaust gas scrubbing systems have been developed to remove the carbon dioxide from the exhaust gases. In addition, inert gases such as argon and helium have been added to the non-air mixture to improve its thermodynamic and transport properties and hence engine performance. These efforts have resulted in the evolution of increasingly complex systems and somewhat negated the attractiveness of the conceptual simplicity of the recycle diesel. However, initial engine test results conducted as part of a collaborative research project started in the late 1980s1, 2 and 3 indicated that the pernicious effects of carbon dioxide has perhaps been overemphasised in the extant technical literature. Thus, it was decided to ascertain the operating envelopes of both a DI and IDI non-air diesel engine within which acceptable performance could be obtained using purely carbon dioxide and oxygen mixtures. The rationale behind these investigations being that simpler and, therefore, more attractive underwater diesel engine systems may be possible. In this paper the main experimental results that have been obtained from tests on a multi-cylinder DI diesel engine configured to operate on oxygen and carbon dioxide atmospheres are presented. The results from the EDI tests can be found in references 2 and 3.
Hawley, J. G.Reader, G. T.
Development of an IDI Diesel Engine Test Facility for Use with Non-Conventional Atmospheres9290598/3/1992
It has been known for nearly a century that by recycling the exhaust gas and adding renewal oxygen for combustion, it is possible to operate a standard diesel engine in air restricted conditions. However in order to operate under these conditions, such as found in underwater vessels, exhaust gas management systems are required to process the combustion products. The characteristics of recycled working fluids and the effective disposal of the exhaust gases leads to conflicting system operational requirements. In order to operate the whole system as a compact and efficient power unit, a compromise needs to be found between the performance of the engine with the recycled exhaust and the physical size and efficiency of the exhaust processing system. Previous research using non-conventional or contaminated atmospheres for underwater vehicles power systems, pollution control and mine engineering has mainly used three methods of supplying the intake atmosphere. The first uses a normal air intake with the contaminate gas being added at or near the manifold. The second method incorporates the complete recycling process with an oxygen and moderating fluid topping up system. The last system uses a gasometer, filled with the artificial atmosphere, to supply the engine. In an attempt to ameliorate the problems of these techniques and provide realistic and accurate data, the University of Calgary has developed an experimental test facility specifically for non-conventional diesel engine operation. The facility enables engine performance data to be acquired whatever the composition and state of the intake working fluid. In the future this data can then be used to design a practical exhaust gas management system. This paper describes the experimental test facility, built around an IDI diesel engine, which allows precise control, monitoring and mixing of the non-air working fluids entering the engine.
Potter, I. J.Reader, G. T.Zheng, M.Gustafson, R. W.
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