scholarly journals Development of a Real-Time Latching Control Algorithm Based on Wave Force Prediction

2020 ◽  
pp. 1-11
Author(s):  
Liang Li ◽  
Hongdong Wang ◽  
Yan Gao
Keyword(s):  
Real Time ◽  
Control Algorithm ◽  
Wave Force ◽  
Force Prediction ◽  
Latching Control

An Energy-Maximising MPC Solution to the WEC Control Competition

2019 ◽  
Author(s):  
Paolino Tona ◽  
Guillaume Sabiron ◽  
Hoai-Nam Nguyen
Keyword(s):  
Real Time ◽  
Electric Energy ◽  
Estimation Algorithm ◽  
Wave Force ◽  
Irregular Waves ◽  
Wave Excitation ◽  
Force Prediction ◽  
Force Moment ◽  
Excitation Force ◽  
Wave Excitation Force

Abstract The WEC Control Competition is a benchmark devised to compare energy-maximising controllers for wave energy converters, first in simulation, then in real time, using a scale device in a tank test situation. For the first round of the competition, the evaluators have provided a model of a leg of a Wavestar-like device, in the WEC-Sim simulation environment. The evaluation is based on an energy-related criterion computed on six irregular waves. IFPEN’s solution is an energy-maximising model predictive control (MPC), composed of an estimation algorithm for wave excitation force moment, using measurements (or estimations) of float displacement and velocity and PTO moment; an algorithm for short-term wave force prediction from present and past wave excitation force estimates, where no information about wave elevation is used; a real-time compatible MPC algorithm using wave force prediction, which maximises the average produced electric energy, taking into account the nonlinear PTO efficiency law.

scholarly journals An intelligent method for solar flare observation

2012 ◽  
Vol 8 (S294) ◽  
pp. 503-504
Author(s):  
Jia Ben Lin ◽  
Juan Guo ◽  
Yuan Yong Deng
Keyword(s):  
Fine Structure ◽  
Solar Flare ◽  
Real Time ◽  
Structure Data ◽  
Control Algorithm ◽  
Simulation Experiment ◽  
Hard Disk ◽  
Solar Observatory ◽  
Explosive Phase

AbstractTo capture the fine structure of the flare kernel during it's explosive phase, we design a real time flare onset detecting algorithm named Near Saturation Area Threshold(NSAT), And an automatic CCD parameters control algorithm for the observing software. All the data from CCD, 48f/s, could be saved to the hard disk, and the GPS time of the flare onset also be saved in the log. These methods could avoid the data overflow and grab the fine structure data of the flare kernel. The simulation experiment works well and the software will be put into use in Huairou Solar Observatory soon.

scholarly journals Predicting Traffic Dynamics with Driver Response Model for Proactive Variable Speed Limit Control Algorithm

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Huixuan Ye ◽  
Lili Tu ◽  
Jie Fang
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
Control Algorithm ◽  
Field Data ◽  
Speed Limit ◽  
Response Model ◽  
Variable Speed ◽  
Variable Speed Limit ◽  
Driver Response ◽  
Traffic State

Variable Speed Limit (VSL) control contributes to potential crash risk reduction by suggesting a suitable dynamic speed limit to achieve more stable and uniform traffic flow. In recent studies, researchers adopted macroscopic traffic flow models and perform prediction-based optimal VSL control. The response of drivers to the advised VSL is one of the most critical parameters in VSL-controlled speed dynamics modeling, which significantly affects the accuracy of traffic state prediction as well as the control reliability and performance. Nevertheless, the variations of driver responses were not explicitly modeled. Thus, in this research, the authors proposed a dynamic driver response model to formulate how the drivers respond to the advised VSL during various traffic conditions. The model was established and calibrated using field data to quantitatively analyze the dynamics of drivers’ desired speed regarding the advised VSL and current traffic state variables. A proactive VSL control algorithm incorporating the established driver response model was designed and implemented in field-data-based simulation study. The design proactive control algorithm modifies VSL in real-time according to the traffic state prediction results, aiming to reduce potential crash risks over the experiment site. By taking into account the real-time driver response variations, the VSL-controlled traffic state dynamics was more accurately predicted. The experimental results illustrated that the proposed control algorithm effectively reduces the crash probabilities in the traffic network.

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