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Articles 1 - 6 of 6
Full-Text Articles in Automotive Engineering
Radio Direction Finding Using Pseudo-Doppler For Uav-Based Animal Tracking, Anup Karki
Radio Direction Finding Using Pseudo-Doppler For Uav-Based Animal Tracking, Anup Karki
Masters Theses
Radio Direction Finding (RDF) is commonly used for low cost tracking and navigation systems. However, for a low cost application and mobility, the design constraints are highly limited. Pseudo Doppler (PD) can improve RDF capabilities without being cost prohibitive. This work entails the analysis of PD RDF and its potential use for Unmanned Aerial Vehicles (UAV) that are currently employed in wildlife research animal tracking. PD is based on the doppler effect or doppler shift. The doppler effect works like a frequency modulator that increases or decreases the observed frequency depending on whether a signal source is approaching or receding …
A Legal Study On Challenges Confronted By Unmanned Ships, Minhe Li
A Legal Study On Challenges Confronted By Unmanned Ships, Minhe Li
Maritime Safety & Environment Management Dissertations (Dalian)
No abstract provided.
A Design Of Inductive Coupling Wireless Power Transfer System For Electric Vehicle Applications, Sarika Reddy Daida
A Design Of Inductive Coupling Wireless Power Transfer System For Electric Vehicle Applications, Sarika Reddy Daida
Electrical & Computer Engineering Theses & Dissertations
This research focuses on the study of using an inductive-coupled Wireless Power Transfer (WPT) system for electric vehicle charging applications in Medium Voltage DC (MVDC) power networks. Implementing WPT in Electric Vehicles (EVs) can provide a convenient alternative charging option, versus static charging in a station that would take hours. Also, it can prevent the potential of electrocution hazards that might occur due to the usage of physical medium like wires in EV charging. Even though inductive coupling has been applied in some applications of WPT, it is still not efficient enough to transfer high power at the kilowatts level …
Modeling And Control Of Maximum Pressure Rise Rate In Rcci Engines, Aditya Basina
Modeling And Control Of Maximum Pressure Rise Rate In Rcci Engines, Aditya Basina
Dissertations, Master's Theses and Master's Reports
Low Temperature Combustion (LTC) is a combustion strategy that burns fuel at lower temperatures and leaner mixtures in order to achieve high efficiency and near zero NOx emissions. Since the combustion happens at lower temperatures it inhibits the formation of NOx and soot emissions. One such strategy is Reactivity Controlled Compression Ignition (RCCI). One characteristic of RCCI combustion and LTC com- bustion in general is short burn durations which leads to high Pressure Rise Rates (PRR). This limits the operation of these engines to lower loads as at high loads, the Maximum Pressure Rise Rate (MPRR) hinders the use of …
Intelligent Transportation Systems, Hybrid Electric Vehicles, Powertrain Control, Cooperative Adaptive Cruise Control, Model Predictive Control, Hadi Kazemi
Graduate Theses, Dissertations, and Problem Reports
Information obtainable from Intelligent Transportation Systems (ITS) provides the possibility of improving the safety and efficiency of vehicles at different levels. In particular, such information has the potential to be utilized for prediction of driving conditions and traffic flow, which allows us to improve the performance of the control systems in different vehicular applications, such as Hybrid Electric Vehicles (HEVs) powertrain control and Cooperative Adaptive Cruise Control (CACC). In the first part of this work, we study the design of an MPC controller for a Cooperative Adaptive Cruise Control (CACC) system, which is an automated application that provides the drivers …
Effect Of Sensor Errors On Autonomous Steering Control And Application Of Sensor Fusion For Robust Navigation, Shuvodeep Bhattacharjya
Effect Of Sensor Errors On Autonomous Steering Control And Application Of Sensor Fusion For Robust Navigation, Shuvodeep Bhattacharjya
Dissertations, Master's Theses and Master's Reports
Autonomous steering control is one the most important features in autonomous vehicle navigation. The nature and tuning of the controller decides how well the vehicle follows a defined trajectory. A poorly tuned controller can cause the vehicle to oversteer or understeer at turns leading to deviation from a defined path. However, controller performance also depends on the state–feedback system. If the states used for controller input are noisy or has bias / systematic error, the navigation performance of the vehicle is affected irrespective of the control law and controller tuning. In this report, autonomous steering controller analysis is done for …