Comprehensive Review on Model Predictive Control Applied to Power Electronics

2020 ◽  
Vol 13 (5) ◽  
pp. 632-640
Author(s):  
Mahetab Alam ◽  
Shahbaz Ahmad ◽  
M. Anas Anees ◽  
Mohd. Tariq ◽  
Abdul Azeem
Keyword(s):  
Model Predictive Control ◽  
Prediction Model ◽  
Cost Function ◽  
Power Electronics ◽  
Predictive Control ◽  
Optimization Algorithm ◽  
Power Converters ◽  
Research Community ◽  
Comprehensive Review

Model Predictive Control (MPC) in the field of power electronics has recently gained a lot of interest in the research community. Even though the computations are very complex in MPC algorithm, the availability of powerful processors has helped this approach to acquire a notable place in the area of control. They can take into account the nonlinearities and constraints very precisely. Having these advantages, they are found to be very attractive for controlling power converters and drives. This paper presents the review of growth and applications of MPC applied to power converters and drives. Some of the key elements like prediction model and its discretization, cost function, weighing factor and optimization algorithm are highlighted in this paper.

scholarly journals A Novel Simplified Implementation of Finite-Set Model Predictive Control for Power Converters

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Jose J. Silva ◽  
Jose R. Espinoza ◽  
Jaime A. Rohten ◽  
Esteban S. Pulido ◽  
Felipe A. Villarroel ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Power Converters ◽  
Finite Set

scholarly journals An Adaptive RBF-NMPC Architecture for Trajectory Tracking Control of Underwater Vehicles

Machines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 105
Author(s):  
Zhenzhong Chu ◽  
Da Wang ◽  
Fei Meng
Keyword(s):  
Model Predictive Control ◽  
Prediction Model ◽  
Real Time ◽  
Predictive Control ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Working Environment ◽  
Gray Wolf ◽  
Trajectory Tracking Control ◽  
System Output

An adaptive control algorithm based on the RBF neural network (RBFNN) and nonlinear model predictive control (NMPC) is discussed for underwater vehicle trajectory tracking control. Firstly, in the off-line phase, the improved adaptive Levenberg–Marquardt-error surface compensation (IALM-ESC) algorithm is used to establish the RBFNN prediction model. In the real-time control phase, using the characteristic that the system output will change with the external environment interference, the network parameters are adjusted by using the error between the system output and the network prediction output to adapt to the complex and uncertain working environment. This provides an accurate and real-time prediction model for model predictive control (MPC). For optimization, an improved adaptive gray wolf optimization (AGWO) algorithm is proposed to obtain the trajectory tracking control law. Finally, the tracking control performance of the proposed algorithm is verified by simulation. The simulation results show that the proposed RBF-NMPC can not only achieve the same level of real-time performance as the linear model predictive control (LMPC) but also has a superior anti-interference ability. Compared with LMPC, the tracking performance of RBF-NMPC is improved by at least 43% and 25% in the case of no interference and interference, respectively.

scholarly journals On Modeling and Constrained Model Predictive Control of Open Irrigation Canals

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Lihui Cen ◽  
Ziqiang Wu ◽  
Xiaofang Chen ◽  
Yanggui Zou ◽  
Shaohui Zhang
Keyword(s):  
Model Predictive Control ◽  
Prediction Model ◽  
Predictive Control ◽  
Hyperbolic Partial Differential Equations ◽  
Irrigation Canal ◽  
Irrigation Canals ◽  
Optimal Control Algorithms ◽  
Saint Venant Equations ◽  
Constrained Model ◽  
Constrained Model Predictive Control

This paper proposes a model predictive control of open irrigation canals with constraints. The Saint-Venant equations are widely used in hydraulics to model an open canal. As a set of hyperbolic partial differential equations, they are not solved explicitly and difficult to design optimal control algorithms. In this work, a prediction model of an open canal is developed by discretizing the Saint-Venant equations in both space and time. Based on the prediction model, a constrained model predictive control was firstly investigated for the case of one single-pool canal and then generalized to the case of a cascaded canal with multipools. The hydraulic software SICC was used to simulate the canal and test the algorithms with application to a real-world irrigation canal of Yehe irrigation area located in Hebei province.

State of the Art of Finite Control Set Model Predictive Control in Power Electronics

2013 ◽  
Vol 9 (2) ◽  
pp. 1003-1016 ◽  
Author(s):  
Jose Rodriguez ◽  
Marian P. Kazmierkowski ◽  
Jose R. Espinoza ◽  
Pericle Zanchetta ◽  
Haitham Abu-Rub ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Power Electronics ◽  
Predictive Control ◽  
State Of The Art ◽  
Finite Control ◽  
Control Set

scholarly journals Total Harmonic Distortion Oriented Finite Control Set Model Predictive Control for Single-Phase Inverters

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3467 ◽  
Author(s):  
Po Li ◽  
Ruiyu Li ◽  
Haifeng Feng
Keyword(s):  
Model Predictive Control ◽  
Cost Function ◽  
Predictive Control ◽  
Single Phase ◽  
Tracking Error ◽  
Harmonic Distortion ◽  
Total Harmonic Distortion ◽  
Finite Control ◽  
Control Set ◽  
The Cost

Inverters are commonly controlled to generate AC current and Total Harmonic Distortion (THD) is the core index in judging the control effect. In this paper, a THD oriented Finite Control Set Model Predictive Control (FCS MPC) scheme is proposed for the single-phase inverter, where a optimization problem is solved to obtain the switching law for realization. Different from the traditional cost function, which focuses on the instantaneous deviation of amplitude between predictive current and its reference, we redesign a cost function that is the linear combination of the current fundamental tracking error, instantaneous THD value and DC component in one fundamental cycle (for 50 Hz, it is 0.02 s). Iterative method is developed for rapid calculation of this cost function. By choosing a switching state from a FCS to minimize the cost function, a FCS MPC is finally constructed. Simulation results in Matlab/Simulink and experimental results on rapid control prototype platform show the effect of this method. Analyses illustrate that, by choosing suitable weight of the cost function, the performance of this THD oriented FCS MPC method is better than the traditional one.

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