作者：
COLEMAN, EWHEFFNER, WHMr. Ernest W. Coleman is a Project Engineer in the Microwave Technology Branch
Radar Division Sensors & Avionics Technology Directorate. of the Naval Air Development Center (NADC). Warminster. Pa. He began his professional career at NADC in 1971 after receiving his B.S. degree in Electrical Engineering from the Tennessee Technological University. He has held several engineering positions in the areas of Design. Development. Simulation and Test & Evaluation of both antenna systems and avionics systems. He did his graduate study in Electromagnetics at Ohio State University and has authored several technical papers and numerous reports. Currently. he is Project Engineer for the development of an Adaptive Array Antenna to be used with future communication systems such as JTIDS. Mr. W. Herbert Heffner
Jr. is Head of the Microwave Technology Branch at NADC Wurminster. Pa. He received his B.S. degree in Electrical Engineering from Drexel University in 1962. and since then has held several design and development engineering positions at NADC and in the Naval Material Command. He attended Ohio State University during 1964 and 1965 receiving his M.S. degree in Electrical Engineering upon completion of his studies. For the past fourteen years he has been involved in the analysis. design development. and evaluation of aircraft antenna systems. radonies. and radar cross-section reduction techniques. In 1976. he was temporarily assigned as Program Element Administrator Surface and Aerospace Target Surveillance. under the Deputy Chief of Naval Material for Development. Naval Material Command. In his four years since returning to NADC. his responsibilities have included developing antennas for future Electronic Warfare and Communication Electronic Counter-Countermeasure applications as well as digital computer antenna analysis techniques and radar camouflage of tactical aircraft.
The Navy is developing an airborne adaptive array antenna for the Joint Tactical Information Distribution System (JTIDS). JTIDS is a Tri-Service multi-channel, multi-function system to provide an advanced communicatio...
The Navy is developing an airborne adaptive array antenna for the Joint Tactical Information Distribution System (JTIDS). JTIDS is a Tri-Service multi-channel, multi-function system to provide an advanced communication, navigation, and identification (CNI) capability for a wide variety of uses. JTIDS terminals perform multiple digital voice/data functions and relative navigation as well as the standard TACAN and IFF transponder functions. The system uses a low-duty cycle, spread-spectrum waveform and advanced coding techniques to provide secure, jam-resistant, and low probability of exploitation CNI functions. Among the important factors which determine the ultimate utility of a JTIDS terminal is the performance of the antenna system. Inadequate antenna performance could seriously degrade and possibly even negate the primary platform mission. Recent advances in antenna and data processing techndogiea promise to provide JTIDS with adequate gain and pattern coverage as well as substantial AJ (Anti-Jam) margin to complement JTIDS signal processing. The desired improvement in AJ protection can be achieved by capitalizing on the spatial filtering properties of adaptive array antennas. This paper presents the “trade-offs” which must be addressed in the design of an adaptive array antenna for airborne JTIDS terminals and the design philosophy currently in development by the Navy.
A description will be given of a process consisting of two connected vertical stand-pipes. This physical process is rather simple in the details of its construction, but the relationship between the flows into and out...
A description will be given of a process consisting of two connected vertical stand-pipes. This physical process is rather simple in the details of its construction, but the relationship between the flows into and out of the standpipes and the levels is nonlinear and complicated. A nonlinear mathematical model will be derived to describe the dynamical behaviour of this system. A control structure with nonlinear multi loop feedforward and linear single loop feedback control will be analyzed and discussed. Simulation and implementation with an experimental laboratory set-up are used to illustrate and demonstrate the behaviour of process with the proposed control structure.
Control and Tracking Techniques for Switched Reluctance Machinesprovides detailed and practical instructions for implementing drive and control techniques for switched reluctance machines (SRMs), which can be immediat...
详细信息
ISBN:
(数字)9783031867279
ISBN:
(纸本)9783031867262;9783031867293
Control and Tracking Techniques for Switched Reluctance Machines
provides detailed and practical instructions for implementing drive and control techniques for switched reluctance machines (SRMs), which can be immediately applied in real-world projects. It presents the latest innovations in control techniques for SRMs, which are essential for the efficiency and sustainability of modern electrical systems. The book includes case studies and practical examples that enhance the understanding of concepts and their application in real scenarios, making the content accessible to both students and experienced professionals. It emphasizes techniques that optimize SRM performance and promote the sustainability of electrical systems, a topic of increasing importance in engineering. With a focus on the current and future needs of the energy sector, this authoritative guide is a key reference for practicing engineers, researchers, and practitioners in the renewable energy industry.
Presents the latest innovations in control techniques for switched reluctance machines;
Emphasizes techniques and innovation with a focus on sustainability;
Offers case studies and a practical approach allowing immediate technology applications in real-world projects.
Simulation-based methods for statistical inference have evolved dramatically over the past 50 years, keeping pace with technological advancements. The field is undergoing a new revolution as it embraces the representa...
Simulation-based methods for statistical inference have evolved dramatically over the past 50 years, keeping pace with technological advancements. The field is undergoing a new revolution as it embraces the representational capacity of neural networks, optimization libraries, and graphics processing units for learning complex mappings between data and inferential targets. The resulting tools are amortized, in the sense that, after an initial setup cost, they allow rapid inference through fast feed-forward operations. In this article we review recent progress in the context of point estimation, approximate Bayesian inference, summary-statistic construction, and likelihood approximation. We also cover software and include a simple illustration to showcase the wide array of tools available for amortized inference and the benefits they offer over Markov chain Monte Carlo methods. The article concludes with an overview of relevant topics and an outlook on future research directions.
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