two-level model predictive control
Digital Simulation of Predictive Current Control of Inverter with Future Reference Consideration using MATLAB
... current control of two level voltage source inverter (VSI) designed in a discretized model using model predictive control (MPC) ...discretized model is quite large ...
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More electric aircraft starter generator system with utilization of hybrid modulated model predictive control
... and voltage respectively. A surface mounted PMM is joined to a two level Active Front-End (AFE) rectifier. The PMM drives the aircraft engine using electrical power from the grounds or auxilliary power ...
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HIGH PERFORMANCE ALGORITHMS FOR THE CONTROL OF BUCK DC-DC CONVERTERS
... paper, two control methods are presented for controlling the DC-DC ...proposed control algorithms are tailored to buck DC-DC converter, so as to optimize the performance of the ...a model ...
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Investigation of Model Predictive Control (MPC) for Steam Generator Level Control in Nuclear Power Plants
... arbitrary two-input, single-output linear controllers can be adequately mapped into a set of specific control ...into two linear rule tables that are used as the limits of NFLC control ...are ...
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Control of a direct matrix converter with modulated model predictive control
... modulated model predictive control (M2PC) which has been proposed for a cascaded H-bridge converter [20-22], active front-end rectifier [23], two level inverter [24], three phase ...
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Modulated model predictive control for a 7 level cascaded h bridge back to back converter
... factor control at the grid and provide an acceptable attenuation of the current ...of two H-bridges and a medium frequency isolated DC/DC converter as shown in ...the control capability in different ...
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Model predictive controller (MPC) for a MIMO process
... Model Predictive Controller (MPC) is one of the advanced methodology in current control engineering which has become the attractive strategy that deals with linear/non-linear dynamic behavior of the ...
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Model predictive control design for industrial applications
... regulatory level based on PID controllers is able to maintain the process variables about the given set point ...presents two solutions to solve the optimisation problem: either the optimal ...
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Linear and Nonlinear Model Predictive Control of Quadruple Tank Process
... where, i is the flow distribution to lower and diagonal upper tank, A i is the cross-section area, a i is the outlet hole cross section and h i is the water level, in tank i respectively. The voltage applied to ...
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Model Predictive Control of Salinity and Water Level in a Hypothetical Polder Ditch: Is it Possible to Use the Discretized Linearized Physical Equations for Optimization
... Polders are low-lying and artificially drained areas that are surrounded by dikes. Weirs or sluices are used in polders to connect water courses or ditches in polders (Xu et al., 2010). To avoid dike failures, keeping ...
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Is nonlinear model predictive control with fuzzy predictive model proper for managing the blood glucose level in typeI diabetes?
... nonlinear model predictive controller (NMPC) is introduced in Section ...Nonlinear model pre- dictive control is composed of two ...One model is called plant, which is diabetic ...
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Modulated predictive control for indirect matrix converter
... State Model Predictive Control (MPC) has been recently applied to several converter topologies as it can provide many advantages over other MPC ...multi-target control capability and ...
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Modelling and control of PEMFC based on support vector machine
... the model predictive controller based on the support vector machine (SVM) model for the air flow control of the ...The model predictive control (MPC) strategy requires the ...
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Model predictive control of forming processes
... In the two-dimensional model a plane strain situation is assumed. For the sheet element type 11 is used (Figure A.2a). These are rectangular plane strain elements which are fully integrated (Q4). This means ...
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Nested Distributed Model Predictive Control
... local control problem is then to regulate the uncertain, constrained LTI system (6) which is subject to bounded additive disturbances, and the direct application of a robust MPC technique will (under suitable ...
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Modulated model predictive control with optimized overmodulation
... vectors, two active vectors and the zero vector, that will result in zero tracking ...predicted model response is interpreted as an affine transformation, ...space model is differentiable and that ...
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Robust yaw stability control of hybrid electric vehicles
... Stability control systems that prevent automotive vehicle from skidding and spinning out are often referred to as yaw stability control systems [2]. Yaw stability of hybrid electric vehicle in a cornering ...
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Model based predictive control of depth of anaesthesia
... mode control (infinite horizon): begin with MPC with a terminal constraint set, switch then to a stabilizing linear controller when the region of attraction of the linear controller is reached (Weber et ...a ...
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Model Predictive Control for a Recover Water Process
... with an asynchronous motor which is controlled in frequency using an inverter piloted by a PWM signal which converts the output of the LMPC controller in frequency. In input to LMPC the pressure error is provided. More ...
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Model Predictive Control for Deferrable Loads Scheduling
... a model predictive algorithm for decentralized deferrable load control in the context of uncertain predictions about both future loads and future renewable ...load control problem” studied in ...
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