Laser-based Faraday effect polarimetry for real-time feedback control of plasma parameters on EAST
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This paper examines a method for real-time control of non-inductively sustained scenarios in NSTX-U by using TRANSP,a time-dependent integrated modeling code for prediction and interpretive analysis of tokamak experimental data, as asimulator. The actuators considered for control in this work are the six neutral beam sources and the plasma boundaryshape. To understand the response of the plasma current, stored energy, and central safety factor to these actuatorsand to enable systematic design of control algorithms, simulations were run in which the actuators were modulated anda linearized dynamic response model was generated. A multi-variable model-based control scheme that accounts for thecoupling and slow dynamics of the system while mitigating the effect of actuator limitations was designed andsimulated. Simulations show that modest changes in the outer gap and heating power can improve the response time ofthe system, reject perturbations, and track target values of the controlled values.
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In this work, a synchronous model for grid-connected and islanded microgrids is presented. The grid-connected model is based on the premise that the reference frame is synchronized with the AC bus. The quadrature component of the AC bus voltage can be cancelled, which allows to express output power as a linear equation for nominal values in the AC bus amplitude voltage. The model for the islanded microgrid is developed by integrating all the inverter dynamics using a state-space model for the load currents. This model is presented in a comprehensive way such that it could be scalable to any number of inverter-based generators using inductor–capacitor–inductor (LCL) output filters. The use of these models allows designers to assess microgrid stability and robustness using modern control methods such as eigenvalue analysis and singular value diagrams. Both models were tested and validated in an experimental setup to demonstrate their accuracy in describing microgrid dynamics. In addition, three scenarios are presented: non-controlled model, Linear-Quadratic Integrator (LQI) power control, and Power-Voltage (PQ/Vdq) droop–boost controller. Experimental results demonstrate the effectiveness of the control strategies and the accuracy of the models to describe microgrid dynamics.
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A hydraulic valve actuation assembly may include a housing, a piston, a supply control valve, a closing control valve, and an opening control valve. The housing may define a first fluid chamber, a second fluid chamber, and a third fluid chamber. The piston may be axially secured to an engine valve and located within the first, second and third fluid chambers. The supply control valve may control a hydraulic fluid supply to the piston. The closing control valve may be located between the supply control valve and the second fluid chamber and may control fluid flow from the second fluid chamber to the supply control valve. The opening control valve may be located between the supply control valve and the second fluid chamber and may control fluid flow from the supply control valve to the second fluid chamber.
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Abstract not provided.