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Showing 1 to 10 of 10 for “"Sliding Mode Observer"”.
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Nonlinear Sliding Mode Observer Applied to Microalgae Growth
<p>Modeling biological processes, such as algae growth, is an area of ongoing research. The ability to understand the multitude of parameters that influence this system provides a platform for better understanding the dynamics of microalgae growth. Empirical modeling efforts look to understand …
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Nonlinear Control and Robust Observer Design for Marine Vehicles
A robust nonlinear observer, utilizing the sliding mode concept, is developed for the dynamic positioning of ships. The observer provides the estimates of linear velocities of the ship and bias from the slowly varying environmental loads. It also filters out wave frequency motion to avoid wear of …
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Sliding Mode Observers for Distributed Parameter Systems: Theory and Applications
… velocity, etc. and their partial derivatives to model these phenomena. However, in the case of distributed parameter systems, it is not always possible to have access to the states of the systems due to technical difficulties such as lack of sensors. Therefore, there is the need for state …
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On-line estimation approaches to fault-tolerant control of uncertain systems
… challenges that are addressed are:(1) On-line model-based fault estimation and compensation as an FTC problem, for systems with large but bounded fault magnitudes and for which the faults can be considered as a special form of dynamic uncertainty.(2) Fault-tolerance in the distributed control …
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Model-based fault detection and diagnosis of selective catalytic reduction systems for diesel engines
… cause emission violation. In this research, two model-based fault detection and isolation algorithms are developed to detect and isolate the dosing fault and the outlet NOx sensor fault for the SCR system. The dosing fault is treated as an actuator additive fault, while the outlet NOx sensor …
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Robust Nonlinear Estimation and Control Applications using Synthetic Jet Actuators
… an extension to a paper by adding the wind gust model to the system while also varying the uncertain synthetic jet actuator parameters using a Monte Carlo method. Next, a robust nonlinear control method is presented, which achieves simultaneous aircraft tracking control and limit cycle …
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SENSORLESS CONTROL OF BRUSHLESS PERMANENT-MAGNET MACHINES FOR POWER TOOL APPLICATION
… initial rotor position error. Also, since most model-based approaches rely on amplitude of back-emf, which is proportional to the rotor speed, these techniques fail in zero and low-speed regions. There is no single sensorless technique suitable for whole speed range therefore suitable sensorless …
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Control of a Single-Phase Grid-Connected Voltage Source Inverter with LCL Filter
… number of sensors in the system, two different observers are implemented to estimate the VSI state variables: (1) the Luenberger observer (LO), and (2) the sliding mode observer (SMO). To balance the system power flow, a new DC-bus voltage droop control method is proposed, that provides fast …
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Non-Linear Robust Observers For Systems With Non-Collocated Sensors And Actuators
… algorithms that are tolerant to significant modeling imprecision and external disturbances. Additional challenges stem from the implementation of the control algorithm such as the availability of the state variables needed for the computation of the control signals, and the adverse effects …
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Control of an autonomous tracked vehicle and arm using a rule-base reduction based fuzzy expert system
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms