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Path tracking control of self-driving vehicles based on GA-PSO-MPC [PDF]
Journal of Hebei University of Science and TechnologyAiming at the difficulty in selecting the weight matrix of model predictive control (MPC) algorithm in the path tracking control of self-driving vehicles, which leads to low control accuracy and low operating efficiency of the controller, a genetic ...
Zizhe WANG +4 more
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Real-time Control Method for Urban Drainage Systems Based on Coupled Unscented Kalman Filter [PDF]
长江科学院院报[Objective] Model Predictive Control （MPC） has been increasingly applied to the coordinated regulation of sluices and pumps in urban drainage systems to maximize the utilization of existing storage capacity and mitigate waterlogging risks.
CHEN Yang, WANG Zhu-qiao, GUO Yu-chao
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Model Predictive Direct Power Control for Virtual-Flux-Based VSR With Optimal Switching Sequence
IEEE Access, 2022 Three-phase voltage-source rectifier (VSR) has been widely used in energy, industry and other fields in the past few years. Model predictive control with optimal switching sequence (OSS-MPC) has further reduced output current THD and ripples with a ...
Han Shi +4 more
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Model Predictive Control of Doubly Fed Induction Motors Based on Fuzzy Logic
MachinesModel predictive control (MPC) has become an attractive solution for doubly fed induction motors (DFIMs) due to its fast dynamic response and multi-variable constraint handling capability.
Xueyan Wang +4 more
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Application of Model Predictive Control to BESS for Microgrid Control
Energies, 2015 Battery energy storage systems (BESSs) have been widely used for microgrid control. Generally, BESS control systems are based on proportional-integral (PI) control techniques with the outer and inner control loops based on PI regulators.
Thai-Thanh Nguyen +2 more
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Energies, 2020 In the paper a comparative study of the two control structures based on MPC (Model Predictive Control) for an electrical drive system with an induction motor are presented.
Karol Wróbel +2 more
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E-MPC: Edge-assisted Model Predictive Control
CoRRModel predictive control (MPC) has become the de facto standard action space for local planning and learning-based control in many continuous robotic control tasks, including autonomous driving. MPC solves a long-horizon cost optimization as a series of short-horizon optimizations based on a global planner-supplied reference path. The primary challenge
Yuan-Yao Lou +3 more
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Data-Driven vs Machine Learning MPC: A Comparative Study in Robust Control Systems
Sir Syed University Research Journal of Engineering and TechnologyThis study systematically compares Data-Driven Model Predictive Control (DD-MPC) and Machine Learning-based MPC (ML-MPC) for controlling systems with unknown dynamics under stochastic disturbances.
Chandar Kumar +4 more
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Prediction Horizon-varying Model Predictive Control (MPC)for Autonomous Vehicle Control
ElectronicsAbstract The prediction horizon is a key parameter in model predictive control (MPC), related to the effectiveness and stability of model predictive control. In vehicle control, the selection of prediction horizon is influenced by factors such as speed, path curvature, and target point density.
Chen, Zhenbin +4 more
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Energies, 2019 Variable switching frequency in the finite control set model predictive control (FCS-MPC) method causes a negative impact on the converter efficiency and the design of the output filters.
Hyeong-Jun Yoo +2 more
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