Gaussian Mixture Model Clustering-Based Knock Threshold Learning in Automotive Engines

Shen, Xun; Zhang, Yahui; Sata, Kota; Shen, Tielong

doi:10.1109/tmech.2020.3000732

Cited by 44 publications

(19 citation statements)

References 33 publications

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“…Theorem 1. The proposed NLESO given in (16) for the intake manifold pressure loop dynamics (15) have the following two properties:…”

Section: Convergence Analysis Of Nleso For the Intake Manifold Pressurementioning

confidence: 99%

“…From the perspective of system theory, Shen, Wu and Zhang applied the optimal control strategy based on multi-valued logic to the control of internal combustion (IC) engines [12,13] and hybrid electric vehicles (HEVs) [14]. In addition, for some related works on optimization, and advanced control strategies for IC engines, please refer to [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Nonlinear Active Disturbance Rejection Control of VGT-EGR System in Diesel Engines

Zhang

et al. 2020

Energies

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In this paper, a nonlinear active disturbance rejection control (NLADRC) strategy based on nonlinear extended state observer (NLESO) is proposed to solve the unmodeled dynamics, coupling and disturbance due to change of working point in the variable geometry turbine (VGT) and exhaust gas recirculation (EGR) system, so as to achieve accurate control of intake manifold pressure and mass air flow in a diesel engine. To achieve decoupling, the double-input double-output (DIDO) VGT-EGR system is decomposed into two single-input single-output (SISO) subsystems, and each subsystem has a separate nonlinear active disturbance rejection controller. At the same time, the convergence proof of the designed NLESO is also given theoretically. Finally, the NLADRC controller is compared with linear active disturbance rejection controller and proportional–integral–derivative (PID) controller. Through simulation, it is indicated that the proposed NLADRC controller has better transient response performance, resistance to external disturbance and robustness to the change of engine operating point.

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“…Theorem 1. The proposed NLESO given in (16) for the intake manifold pressure loop dynamics (15) have the following two properties:…”

Section: Convergence Analysis Of Nleso For the Intake Manifold Pressurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Nonlinear Active Disturbance Rejection Control of VGT-EGR System in Diesel Engines

Zhang

et al. 2020

Energies

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show abstract

“…So conditions monitoring of the insulator are important to know about insulator status of the insulator. The analysis of surface LC is necessary to know about the insulator condition (Miyake et al, 2010;Shen et al, 2020;Yang et al, 2020;Zhu et al, 2020;Noman et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Research on Leakage Current Waveform Spectrum Characteristics of Artificial Pollution Porcelain Insulator

et al. 2021

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The surface discharge development processes of polluted porcelain insulators for power transmission lines are tightly related with the development of leakage current (LC), the characteristics of LC, the insulating condition, and discharge intensity of the insulator surface have an important significance for revealing the contamination discharge state of insulators. In order to analyze the LC characteristics of porcelain insulators in the process of pollution flashover, artificial pollution flashover tests on porcelain insulators were conducted in the artificial fog cabinet, and the characteristics of LC waveforms in time-domain and frequency-domain were simultaneously measured and analyzed during the tests. The results indicated that the amplitude of LC, fundamental harmonic, the third harmonic, and fifth harmonic had a strong correlation, the maximum of LC(Im), the rate of total harmonics (THD), and the phase difference of fundamental harmonic (θ) were used for the representation of the characteristics of the LC waveform. The LC has the characteristics of high amplitude, low proportion harmonic, and small phase difference between the fundamental harmonic and voltage before the flashover occurrence. The test results provide effective reference for porcelain insulators in pollution flashover forecasting.

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“…Recently, some notable works focus their research on data association for dealing with the connection between semantic objects and RGB images in dynamic environments (Bowman et al, 2017;Doherty et al, 2019;Yu and Lee, 2018;Ran et al, 2021), and allow for better application of semantic techniques in SLAM algorithms. Furthermore, to deal with the uncertainty of environment, a potential approach is to improve SLAM algorithm by combining with various optimization-based algorithms (Wu and Shen, 2018;Shen et al, 2021;Shen et al, 2020b;Le et al, 2021;Wu et al, 2021;Toyoda and Wu, 2021) for scholastic systems.…”

Section: Introductionmentioning

confidence: 99%

OC-SLAM: Steadily Tracking and Mapping in Dynamic Environments

Deng

et al. 2021

Front. Energy Res.

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Visual Simultaneous Localization and Mapping (SLAM) system is mainly used in real-time localization and mapping tasks of robots in various complex environments, while traditional monocular vision algorithms are struggling to cope with weak texture and dynamic scenes. To solve these problems, this work presents an object detection and clustering assisted SLAM algorithm (OC-SLAM), which adopts a faster object detection algorithm to add semantic information to the image and conducts geometrical constraint on the dynamic keypoints in the prediction box to optimize the camera pose. It also uses RGB-D camera to perform dense point cloud reconstruction with the dynamic objects rejected, and facilitates European clustering of dense point clouds to jointly eliminate dynamic features combining with object detection algorithm. Experiments in the TUM dataset indicate that OC-SLAM enhances the localization accuracy of the SLAM system in the dynamic environments compared with original algorithm and it has shown impressive performance in the localizition and can build a more precise dense point cloud map in dynamic scenes.

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Gaussian Mixture Model Clustering-Based Knock Threshold Learning in Automotive Engines

Cited by 44 publications

References 33 publications

Nonlinear Active Disturbance Rejection Control of VGT-EGR System in Diesel Engines

Nonlinear Active Disturbance Rejection Control of VGT-EGR System in Diesel Engines

Research on Leakage Current Waveform Spectrum Characteristics of Artificial Pollution Porcelain Insulator

OC-SLAM: Steadily Tracking and Mapping in Dynamic Environments

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