scholarly journals Correction: Hard real-time closed-loop electrophysiology with the Real-Time eXperiment Interface (RTXI)

2017 ◽  
Vol 13 (7) ◽  
pp. e1005656
Author(s):  
2017 ◽  
Vol 13 (5) ◽  
pp. e1005430 ◽  
Author(s):  
Yogi A. Patel ◽  
Ansel George ◽  
Alan D. Dorval ◽  
John A. White ◽  
David J. Christini ◽  
...  

Author(s):  
Sivakumar Ramalingam ◽  
Hanumath VV Prasad ◽  
Srinivasa Prakash Regalla

The closed loop feedback control system of an Automated Manual Transmission (AMT) electro-pneumatic clutch actuator is used for intelligent real time condition monitoring, enhanced diagnostics and prognostic health management of the dry clutch system, by integrating with the existing gearbox prognostics observer. The real-time sensor data of the clutch actuator piston position is analyzed for monitoring the condition of the clutch system. Original parameters of the new clutch are stored in the Electrically Erasable Programmable Read-only Memory (EEPROM) of the AMT controller and the real-time data is used by the observer for assessing the degradation/wear of the frictional clutch parts. Also, clutch slip during torque transmission is monitored, using the engine speed and the gearbox input shaft speed from Controller Area Network (CAN). Condition monitoring of clutch system provides enhanced prognostic functionality for AMT system which ensures consistent clutch performance, gear shift quality and timely warning for recalibration, repair and/or replacement of the critical wear and tear parts. Also, systematic analysis of the monitored data provides an accurate diagnosis of a developing fault. Thus, with the advanced control systems in place for AMT, a closed loop feedback based condition monitoring system is modelled for improved diagnostics and prognostics of AMT clutch system.


2013 ◽  
Vol 834-836 ◽  
pp. 1074-1080
Author(s):  
Wen Wang Li ◽  
Gao Feng Zheng ◽  
Jian Yi Zheng

Real-time lifetime forecasting has extensive application in the fields of machine system manufacturing and integration, which is a good way to promote the dependability and operation stability. In this paper, a closed loop adaptive forecasting model with feedback channel of state monitoring information is built up for the real-time lifetime forecasting. The difference of working state between prediction and monitoring information is used to evaluate the prediction performance. The dynamic fuzzy neural network introduced into the prediction model, in which the fuzzy rule, membrane function and structure parameters can be adjusted according to the evaluate results. A service lifetime testing experiment of gear case is utilized to validate the prediction model. The proposed model achieved reasonable precision with an error of less than 1 hour between the failure time of experimental results and the forecasting remaining lifetime. The adaptive prediction method can deal with the real-time lifetime forecasting for multiple factors and nonlinear system without specific parameters structure.


2013 ◽  
Vol 278-280 ◽  
pp. 1648-1652
Author(s):  
Tao Wu ◽  
Tian Zhi Cao ◽  
Shan Ying Li

Generator terminal supplement damping control (GTSDC) is an effective method to damp the sub-synchronous resonance. In this paper, the real time closed loop testing technique of GTSDC is studied. The four kind of performance test is discussed. They are characteristic valuation of GTSDC, model contrast of GTSDC and real-time digital simulation (RTDS), GTSDC coordination with the excitation damping control, and robustness analysis of GTSDC. The testing results show that the real time closed loop testing technique of GTSDC is effective and reliable.


2012 ◽  
Vol 233 ◽  
pp. 123-130
Author(s):  
Wei Zhang ◽  
Yu Ming Wang

Dspace HILS platform is used to realize the real-time test of the mill control system.In this platform, a real controller is the part of the control system. DSPACE real-time simulation and computer real-time running control the object model to virtual out a rolling mill, which realizes the mill the real-time closed-loop test of control system.Yanshan University 300 reversible rolling mill as the object of experimental platform is established and verifies the feasibility and validity of the simulation platform.


Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8458
Author(s):  
Paweł Jabłoński ◽  
Joanna Iwaniec ◽  
Michał Jabłoński

ADAS and autonomous technologies in vehicles become more and more complex, which increases development time and expenses. This paper presents a new real-time ADAS multisensory validation system, which can speed up the development and implementation processes while lowering its cost. The proposed test system integrates a high-quality 3D CARLA simulator with a real-time-based automation platform. We present system experimental verifications on several types of sensors and testing system architectures. The first, open-loop experiment explains the real-time capabilities of the system based on the Mobileye 6 camera sensor detections. The second experiment runs a real-time closed-loop test of a lane-keeping algorithm (LKA) based on the Mobileye 6 line detection. The last experiment presents a simulation of Velodyne VLP-16 lidar, which runs a free space detection algorithm. Simulated lidar output is compared with the real lidar performance. We show that the platform generates reproducible results and allows closed-loop operation which, combined with a real-time collection of event information, promises good scalability toward complex ADAS or autonomous functionalities testing.


1999 ◽  
Vol 6 (8) ◽  
Author(s):  
Klaus Havelund ◽  
Kim G. Larsen ◽  
Arne Skou

A real-time system for power-down control in audio/video components<br />is modeled and verified using the real-time model checker UPPAAL. The<br />system is supposed to reside in an audio/video component and control (read from and write to) links to neighbor audio/video components such as TV, VCR and remote–control. In particular, the system is responsible for the powering up and down of the component in between the arrival of data, and in order to do so in a safe way without loss of data, it is essential that no link interrupts are lost. Hence, a component system is a multitasking system with hard real-time requirements, and we present techniques for modeling time consumption in such a multitasked,<br />prioritized system. The work has been carried out in a collaboration between Aalborg University and the audio/video company B&O. By modeling the system, 3 design errors were identified and corrected, and the following verification confirmed the validity of the design but also revealed the necessity for an upper limit of the interrupt frequency. The resulting design has been implemented and it is going to be incorporated as part of a new product line.


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