scholarly journals Real-Time Flow Control of Blade Section Using a Hydraulic Transmission System Based on an H-Inf Controller with LMI Design

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5029
Author(s):  
Tingrui Liu ◽  
Kang Zhao ◽  
Changle Sun ◽  
Jiahao Jia ◽  
Guifang Liu
Keyword(s):  
Flow Control ◽  
Real Time ◽  
Detection System ◽  
Transmission System ◽  
Linear Matrix ◽  
Pitch Motion ◽  
The Real ◽  
Flutter Suppression ◽  
Time Flow ◽  
Blade Section

Vibration and real-time flow control of the 2D blade section of wind turbines with three degrees of freedom (3-DOF), excited by external pitch motion, are investigated based on an H-inf (H∞) controller using linear-matrix-inequality (HIC/LMI) design. The real-time flow control for the purpose of aeroelastic flutter suppression includes not only the driving process of real-time physical equipment, but also the realization of real-time control algorithm in the physical controller. The aeroelastic system combined with pitch motion is controlled by a kind of HIC/LMI algorithm. The real-time external pitch motion is driven by rack-piston cylinder (RPC) using a hydraulic transmission system (HTS). The unsteady aerodynamic loads model is simplified by the HTS system. The HTS is actuated by a proportional-flow valve (PFV) which is controlled by another HIC/LMI algorithm, a novel algorithm for waveform tracking. According to the result of waveform tracking, the input current signal of PFV is realized by the configuration of the controller hardware system and its external circuits. In two types of HIC/LMI algorithms, controller stabilities are affirmed using Lyapunov analyses, and controller values are derived and obtained by using LMI designs. Flutter suppression for divergent and instable displacements is shown, with obvious controlled effects illustrated. An online monitoring experimental platform using hardware-in-the-loop simulation, based on Siemens S7-200 programmable logic controller (PLC) hardware and Kingview detection system, is built to implement pitch motion based on HTS and configure the signal input of PFV in pitch control.

Real-time flow control using neural networks

2000 ◽  
Vol 39 (1) ◽  
pp. 93-101 ◽  
Author(s):  
H.L Chan ◽  
A.B Rad
Keyword(s):  
Neural Networks ◽  
Flow Control ◽  
Real Time ◽  
Time Flow

scholarly journals A Fusion of Multiagent Functionalities for Effective Intrusion Detection System

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Dhanalakshmi Krishnan Sadhasivan ◽  
Kannapiran Balasubramanian
Keyword(s):  
Intrusion Detection ◽  
Real Time ◽  
Intrusion Detection System ◽  
Detection System ◽  
Detection Accuracy ◽  
The Real ◽  
Common Path ◽  
Research Areas ◽  
Water Pipeline ◽  
Active Research

Provision of high security is one of the active research areas in the network applications. The failure in the centralized system based on the attacks provides less protection. Besides, the lack of update of new attacks arrival leads to the minimum accuracy of detection. The major focus of this paper is to improve the detection performance through the adaptive update of attacking information to the database. We propose an Adaptive Rule-Based Multiagent Intrusion Detection System (ARMA-IDS) to detect the anomalies in the real-time datasets such as KDD and SCADA. Besides, the feedback loop provides the necessary update of attacks in the database that leads to the improvement in the detection accuracy. The combination of the rules and responsibilities for multiagents effectively detects the anomaly behavior, misuse of response, or relay reports of gas/water pipeline data in KDD and SCADA, respectively. The comparative analysis of the proposed ARMA-IDS with the various existing path mining methods, namely, random forest, JRip, a combination of AdaBoost/JRip, and common path mining on the SCADA dataset conveys that the effectiveness of the proposed ARMA-IDS in the real-time fault monitoring. Moreover, the proposed ARMA-IDS offers the higher detection rate in the SCADA and KDD cup 1999 datasets.

scholarly journals Sliding wire detection system of electric lock screw tool based on motor characteristics

2021 ◽  
Vol 2137 (1) ◽  
pp. 012009
Author(s):  
Ning Zhang ◽  
Yinxin Yan ◽  
Houcheng Yang ◽  
Zhangsi Yu
Keyword(s):  
Real Time ◽  
Detection System ◽  
Low Cost ◽  
High Sensitivity ◽  
High Accuracy ◽  
Normal Operation ◽  
Automatic Assembly ◽  
The Real ◽  
Current Change ◽  
Real Time Detection

Abstract This paper presents a sliding wire detection system of electric screw locking tool based on the characteristics of motor. The system can judge whether the screw has sliding wire through the current change of motor during normal operation, and realize the real-time detection and alarm of sliding wire. The system has the advantages of high sensitivity, low cost and high accuracy. It can be widely used in automatic assembly and other fields.

Implementation of Driver Fatigue Detection System with PCNN Algorithm Based on FPGA

2013 ◽  
Vol 333-335 ◽  
pp. 1060-1064 ◽  
Author(s):  
Yang Lu ◽  
Chao Gao
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Detection System ◽  
Good Stability ◽  
The Real ◽  
Design And Implementation ◽  
Car Accidents ◽  
Stability And Accuracy ◽  
Eye Closure ◽  
Fatigue Detection

This work presents the design and implementation of drivers fatigue detection system based on FPGA to prevent car accidents. According to the bright pupil phenomenon, which is produced by the retina when the incident lights wavelength is 850 nm, drivers eyes can be detected easily. While acquiring the real-time video of the drivers face by camera, the system accomplishes the detection of drivers eyes by using a simplified PCNN (pulse coupled neural network) and the computation of the PERCLOS (Percentage of Eye Closure) to decide whether the driver is fatigue or not. All the designing and accomplishments of the system are based on the FPGA platform Xilinx Virtex Pro Development Board. During the experiments, the system has the ability of processing 25 frames/sec, which is the speed of collection of the used camera. Also, the fatigue detection system has good stability and accuracy.

Digital Data Streams: Creating Value from the Real-Time Flow of Big Data

2016 ◽  
Vol 58 (3) ◽  
pp. 5-25 ◽  
Author(s):  
Federico Pigni ◽  
Gabriele Piccoli ◽  
Richard Watson
Keyword(s):  
Big Data ◽  
Real Time ◽  
Data Streams ◽  
Digital Data ◽  
The Real ◽  
Time Flow
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