Finite control set model predictive torque control using sliding model control for induction motors
CES Transactions on Electrical Machines and Systems, 2021 Finite control set model predictive torque control (FCS-MPTC) has become increasingly prevalent for induction motors (IM) owing to its simple concept, easy incorporation of constraints and strong flexibility.
Yanqing Zhang +4 more
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Hybrid Data-Enabled Predictive Control: Incorporating Model Knowledge Into the DeePC
IEEE Open Journal of Control SystemsPredictive control can either be data-based (e.g. data-enabled predictive control, or DeePC) or model-based (model predictive control). In this paper we aim to bridge the gap between the two by investigating the case where only a partial model is ...
Jeremy D. Watson
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Model Predictive Control on Integrated-Rooftop Greenhouse Climate Control
Chemical Engineering Transactions, 2023 A novel model predictive control (MPC) framework is proposed to optimize the energy management of integrated rooftop greenhouses and buildings, aiming to reduce control costs and the likelihood of climate violations.
Wei-Han Chen, Fengqi You
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Model predictive control architecture for rotorcraft inverse simulation [PDF]
, 2013 A novel inverse simulation scheme is proposed for applications to rotorcraft dynamic models. The algorithm adopts an architecture that closely resembles that of a model predictive control scheme, where the controlled plant is represented by a high-order ...
AVANZINI, Giulio +5 more
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Data Driven Economic Model Predictive Control
Mathematics, 2018 This manuscript addresses the problem of data driven model based economic model predictive control (MPC) design. To this end, first, a data-driven Lyapunov-based MPC is designed, and shown to be capable of stabilizing a system at an unstable equilibrium ...
Masoud Kheradmandi, Prashant Mhaskar
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Analysis of explicit model predictive control for path-following control. [PDF]
PLoS ONE, 2018 In this paper, explicit Model Predictive Control(MPC) is employed for automated lane-keeping systems. MPC has been regarded as the key to handle such constrained systems.
Junho Lee, Hyuk-Jun Chang
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A Review on Predictive Control Technology for Switched Reluctance Motor System
World Electric Vehicle Journal, 2023 The significance of employing control strategies on a switched reluctance motor (SRM) is that they can reduce vibration noise and torque ripple. With the rapid development of digital system processors, predictive control (PC), as a modern control ...
Yiliang Zhu, Ming Yao, Xiaodong Sun
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Nonparametric nonlinear model predictive control [PDF]
, 2004 Model Predictive Control (MPC) has recently found wide acceptance in industrial applications, but its potential has been much impeded by linear models due to the lack of a similarly accepted nonlinear modeling or databased technique.
Kashiwagi, H, Li, Y.
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APPLICATION OF MODEL PREDICTIVE CONTROL (MPC) TUNING STRATEGY IN MULTIVARIABLE CONTROL OF DISTILLATION COLUMN [PDF]
, 2007 A model predictive control strategy is proposed for multivariable nonlinear control problem in a distillation column. The aim is to provide a solution to nonlinear control problem that is favorable in terms of industrial implementation.
Wahid, A., Ahmad, A., A. Wahid, A. Ahmad
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Identification and predictive control of a multistage evaporator [PDF]
, 2010 A recurrent neural network-based nonlinear model predictive control (NMPC) scheme in parallel with PI control loops is developed for a simulation model of an industrial-scale five-stage evaporator.
Cao, Y. +14 more
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