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A Segmentation Model of ECU Excitation Signal Based on Characteristic Parameters

Xingjian Zheng, Bo Wang, Yongqi Ge
2021 Sensors  
According to the basic structure and working principle of the excitation signal sensors of a diesel engine electronic control unit (ECU), a segmentation model of an ECU excitation signal based on characteristic  ...  In the ESCP-SM, the ECU excitation signal is divided into several parts, and each part has its characteristic parameters model.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21124165 fatcat:nxa4lrnqyvgjpogmtwuzo4mpv4

Compensation of sub-harmonic vibrations during engine idle by variable fuel injection control

Andreas Walter, Mustafa Murt, Uwe Kiencke, Stephen Jones, Thomas Winkler
2008 IFAC Proceedings Volumes  
The enhanced control system is based on conventional PID-control strategies with improved fuel injection scheduling.  ...  The basic task of idle speed control systems is to maintain a defined setpoint of rotational engine speed independent from engine operating conditions (e.g. load disturbances).  ...  Thus, a large angular speed filter segment ∆ϕ sf effects a long delay in the updating of the mean engine speed in the engine ECU.  ... 
doi:10.3182/20080706-5-kr-1001.01599 fatcat:dlirpzr4jzhdllyuwmegiboap4

Human–Machine Interaction in Driving Assistant Systems for Semi-autonomous Driving Vehicles

Heung-Gu Lee, Dong-Hyun Kang, Deok-Hwan Kim
2021 Electronics  
A 1D convolutional neural network model based on multimodal bio-signals is used and applied to control semi-autonomous vehicles.  ...  four scenarios and eight emotions through bio-signal data.  ...  The driving assistance system consists of an HMI, an ECU, and a controller. The HMI is based on the driver's bio-signals, and the situation recognition result is classified through the 1D CNN model.  ... 
doi:10.3390/electronics10192405 fatcat:vidsxseysvhxxoyyynko3mjs7q

Iterative decremented step-size scanning-based MPPT algorithms for photovoltaic systems

Faizal Arya Samman, Abd. Azis Rahmansyah, Syafaruddin
2017 2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)  
A photovoltaic system coupled with a DC/DC converter is modeled in SPICE for verification and simulation purposes.  ...  The change of partial shading conditions is a main problem in photovoltaic systems. Power curves of the systems will contain some local maximum power points, beside a global maximum power point.  ...  The solar modules is modelled in SPICE and each panel can be excited with changeable solar polar irradiance in W/m 2 .  ... 
doi:10.1109/iciteed.2017.8250463 fatcat:qmhka2ioejccrow63vxpdbwlv4

StretchfMRI: a new technique to quantify the contribution of the reticular formation to long-latency responses via fMRI [article]

Andrea Zonnino, Andria J. Farrens, David Ress, Fabrizio Sergi
2019 bioRxiv   pre-print
Moreover, via a single-subject pilot experiment, we show that the occurrence of an LLR in a flexor and extensor muscle modulates neural activity in distinct regions of the brainstem.  ...  LLRs, elicited by applying precisely controlled perturbations, can act as a reliable stimulus to measure LLR-related brainstem function using fMRI with high signal-to-noise ratio.In this paper, we present  ...  We acknowledge support from the University of Delaware Research Foundation grant no. 16A01402, from ACCEL NIGMS IDeA grant no. U54-GM104941, and from startup funds by the University of Delaware.  ... 
doi:10.1101/582692 fatcat:t4ferfbp6jbs5h6fhcjcr3ipni

Peak Bracketing and Decremented Window-Size Scanning-Based MPPT Algorithms for Photovoltaic Systems

Faizal Arya Samman, Abdul Azis Rahmansyah, Syafaruddin
2018 International Journal of Innovative Computing, Information and Control  
This paper presents a peak bracketing algorithm and a decremented windowssize scanning-based algorithm to trace a maximum power operation point of a solar array in photovoltaic systems.  ...  This problem appears due to the existence of partial shadows or non uniform solar irradiance on the photovoltaic panel surfaces.  ...  The authors gratefully acknowledge the Ministry of Research, Technology and Higher Education of the Republic of Indonesia for funding our research work under the scheme of "Post-Graduated Colleagium Research  ... 
doi:10.24507/ijicic.14.03.1015 fatcat:52rayrvqijao3la4j5biw2gcfi

Experimental Automatic Calibration of a Semi-Active Suspension Controller via Bayesian Optimization [article]

Gianluca Savaia, Youngil Sohn, Simone Formentin, Giulio Panzani, Matteo Corno, Sergio M. Savaresi
2020 arXiv   pre-print
In this paper, we propose a purely data-based tuning method enabling the automatic calibration of the parameters of a proprietary suspension controller by relying on little experimental time and exploiting  ...  The effectiveness of the proposed approach is assessed on a commercial multi-body simulator as well as on a real car.  ...  The classification of the most significant parameters follow a novel approach based on Gaussian Process Regression.  ... 
arXiv:2010.10831v1 fatcat:i54oow2fpzh2rgwmpwbqh3xpva

Research on the Characteristics of Operating Non-Uniformity of a High-Pressure Common-Rail Diesel Engine Based on Crankshaft Segment Signals

Yuhua Wang, Guiyong Wang, Guozhong Yao, Lizhong Shen
2021 IEEE Access  
Due to the periodic variation characteristics of the excitation moment acting on the crankshaft system, the crankshaft instantaneous angular speed and crankshaft segment signal periodic variations.  ...  to what extent engine nonuniformity control based on crankshaft segment signal can be reliably applied FIGURE 1 . 1 Crankshaft signal panel.  ... 
doi:10.1109/access.2021.3075963 fatcat:hggdbcprrnbzjpl55djikdf4qi

Identifying Traffic Context Using Driving Stress: A Longitudinal Preliminary Case Study

Olga Vl. Bitkina, Jungyoon Kim, Jangwoon Park, Jaehyun Park, Hyun K. Kim
2019 Sensors  
Both models were based on the application of EDA features with the logistic regression analysis. City driving turned out to be more stressful than highway driving.  ...  To classify the levels of driving stress (low vs. high), two separate models were developed by incorporating the statistical features of the EDA signals, one for traffic conditions and the other for road  ...  Table 6 . 6 Model based on different types of road segments.  ... 
doi:10.3390/s19092152 fatcat:qhnrpzjgajaddpbd75imd6vsaq

On applying the knock sensor for injector calibration

Konrad Christ, Kristine Back, Thomas Kieweler, Uwe Kiencke, Fernando Puente León
2014 International Journal of Engine Research  
Based on the findings of the signal analysis, a method is presented for detecting the beginning and the end of injection by applying the theory of the change-point problem.  ...  Since the sound signals are highly nonstationary and contain various transients, a time-frequency analysis is applied.  ...  Declaration of conflicting interests The authors declare that there is no conflict of interest.  ... 
doi:10.1177/1468087413500059 fatcat:vwu5paiunza3focvthpy6bt3ee

Excitation Signal Design for Generating Optimal Training Data for Complex Dynamic Systems

Edward Winward, Zhijia Yang, Byron Mason, Mark Cary
2021 IEEE Access  
However, the second approach based on informative potential leads to a more generalised model and reduces the development time by a factor of four.  ...  This is a significant result that shows the importance of choosing an appropriate excitation signal.  ...  The T 10−90 time for the VVT system was measured to be <1s using a step response test, this was used to segment the transient into one second sections, for a total of 120 segments.  ... 
doi:10.1109/access.2021.3138166 fatcat:bhqpv7em75anppcskyfnhbtov4

Development and Validation of a Vibration-Based Virtual Sensor for Real-Time Monitoring NOx Emissions of a Diesel Engine

Muhammad Yousaf Iqbal, Tie Wang, Guoxing Li, Senxiang Li, Guicheng Hu, Tiantian Yang, Fengshou Gu, Mohammed Al-Nehari
2022 Machines  
A principal component regression (PCR) model for NOx prediction was established based on the reconstructed in-cylinder pressure.  ...  A novel vibration-based virtual NOx sensor is developed based on these critical relationships for real-time NOx monitoring.  ...  Acknowledgments: Thank Tie Wang, Guoxing Li, Chaoliang He, Chong Wang and Junhui Fan from Taiyuan University of Technology for their help in modelling and testing.  ... 
doi:10.3390/machines10070594 fatcat:gobkir7abva3pgzfq3dvb6ywx4

Chaos theory-based time series analysis of in-cylinder pressure and its application in combustion control of SI engines

Huanyu DI, Yahui ZHANG, Tielong SHEN
2020 Journal of Thermal Science and Technology  
Then based on a near chaos dynamic model, combustion timing has been predicted successfully (Lee et al., 2009) .  ...  For example, a wind power time series has been analyzed by chaos theory, and a kernel function prediction model based on the chaos analysis is introduced (Ouyang et al., 2016).  ...  ., Visual analysis of nonlinear dynamical systems: chaos, fractals, self-similarity and the limits of prediction, Systems, Vol.4, No.4 (2016), 37.  ... 
doi:10.1299/jtst.2020jtst0001 fatcat:6qosbxvgavcebda6lksd4eezsq

A novel time-based surface EMG measure for quantifying hypertonia in paretic arm muscles during daily activities after hemiparetic stroke [article]

M. Hongchul Sohn, Jasjit Deol, Julius P. A. Dewald
2022 medRxiv   pre-print
time segment continuously tracked in a sliding window fashion.  ...  the magnitude-based sEMG measures that suffer from signal non-stationarity.  ...  In addition, to model the sporadic motor unit firing patterns with varying statistical characteristics, we employed the model developed by Konstantin et al., [57] , where parameters were modified for  ... 
doi:10.1101/2022.01.06.22268857 fatcat:5tl6ujqchnds7o36tkm7guvjsu

Adaptation to suppression of visual information during catching

F Lacquaniti, C Maioli
1989 Journal of Neuroscience  
This seems to suggest that the parameters of the responses are adjusted based on an internal model of the dynamic interaction between the falling ball and the limb.  ...  This model is initially constructed from a priori knowledge on impact parameters and is subsequently updated on the basis of the kinesthetic and cutaneous information obtained during the first trial.  ...  This seems to suggest that the parameters of the responses are adjusted based on an internal model of the dynamic interaction between the falling ball and the limb.  ... 
doi:10.1523/jneurosci.09-01-00149.1989 pmid:2913201 fatcat:e7kt7t7fnjba5l67wpqf4sjpta
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