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2023 International Russian automation Conference, RusAutoCon 2023

作者： Radionov, Andrey A. Semitko, Andrey Yu. Loginov, Boris M. Khramshin, Vadim R. Filimonova, Aleksandra A. Moscow Polytechnic University Department of Automation and Control Moscow Russia South Ural State University Department of Mechatronics and Automation Chelyabinsk Russia Magnitogorsk Iron and Steel Works Magnitogorsk Russia Nosov Magnitogorsk State Technical University Power Engineering and Automated Systems Institute Magnitogorsk Russia South Ural State University Department of Electric Drive Mechatronics and Electromechanics Chelyabinsk Russia

ISBN: (纸本)9798350345551

The essential quality parameter of rolled products is the flatness along the rolled stock length. The profile defects of the rolled stock, produced at the modern plate mill 5000, frequently occur in the course of intense cooling implied by the thermomechanical rolling technology. To eliminate them, the mill lines include cold straightening machines. The authors show typical flatness defects caused by the occurrence of longitudinal, central and edge waves. Further, the paper characterizes a cold straightening machine installed at the mill 5000 and provides the parameters of electric engines of straightening rollers. The key drawback of the design algorithm for electric drives' control is setting engine constant moments regardless of the thickness and character of the defects in the rolled stock processed. This causes overloading of the electric and mechanical systems of certain rollers and unsatisfactory product quality. To eliminate the drawback, the authors developed a method for individual setting of engine moments closely coupled in the course of sheet processing. The authors present a functional block diagram for the control system to implement the method. The rationale is provided for the digital setting of moment controllers switched on the inputs of speed controllers. The authors conducted simulation modelling and comparative analysis of engine speeds and moments at the design and proposed settings. The paper provides the analysis of oscillograms obtained before and after the introduction of the control system developed. Its technical and economic feasibility was confirmed during operation. © 2023 IEEE.

关键词： control systems

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Decision-Making in Driver-automation Shared control:A Review and Perspectives

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IEEE/CAA Journal of Automatica Sinica 2020年第5期7卷 1289-1307页

作者： Wenshuo Wang Xiaoxiang Na Dongpu Cao Jianwei Gong Junqiang Xi Yang Xing Fei-Yue Wang IEEE California PATH University of CaliforniaBerkeleyCA 94720 USA Department of Engineering University of CambridgeCambridge CB21PZU.K. Mechanical and Mechatronics Engineering University of WaterlooWaterloo N2L3G1Canada Department of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Research Center for Military Computational Experiments and Parallel Systems TechnologyNational University of Defense TechnologyChangsha 410073China

Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver’s abilities to *** human driver,as an essential agent in the driver-vehicle shared control systems,should be precisely modeled regarding their cognitive processes,control strategies,and decision-making *** interactive strategy design between drivers and automated driving agents brings an excellent challenge for human-centric driver assistance systems due to the inherent characteristics of *** open-ended questions arise,such as what proper role of human drivers should act in a shared control scheme?How to make an intelligent decision capable of balancing the benefits of agents in shared control systems?Due to the advent of these attentions and questions,it is desirable to present a survey on the decision making between human drivers and highly automated vehicles,to understand their architectures,human driver modeling,and interaction strategies under the driver-vehicle shared ***,we give a further discussion on the key future challenges and *** are likely to shape new potential research directions.

关键词： Automated vehicle decision-making human driver human-vehicle interaction shared control

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Intersection Navigation Under Dynamic Constraints Using Deep Reinforcement Learning

Intersection Navigation Under Dynamic Constraints Using Deep...

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International Conference on control, engineering & Information Technology (CEIT)

作者： Ali Demir Volkan Sezer Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkey Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey

ISBN: (纸本)9781538676424

In this study, we present a unified motion planner with low- level controller for continuous control of a differential drive mobile robot. Deep reinforcement agent takes 10 dimensional state vector as input and calculates each wheel's torque value as a 2 dimensional output vector. These torque values are fed into the dynamic model of the robot, and lastly steering commands are gathered. In previous studies, navigation problem solutions that uses deep - RL methods, have not been considered with agent's own dynamic constraints, but it has been done by only considering kinematic models. This is not reliable enough for real-world scenarios. In this paper, deep-RL based motion planning is performed by considering both kinematic and dynamic constraints. According to the simulations in a dynamic environment, the agent succesfully navigates through the intersection with 99.6% success rate.

关键词： Mathematical model Robot kinematics Mobile robots Dynamics Torque Vehicle dynamics

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Diagnosing interdental decays in mouth radiography images using Kernel Fuzzy C means segmentation and cascade object detector

Diagnosing interdental decays in mouth radiography images us...

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International Conference on Electrical and Electronics engineering, ELECO

作者： Navid Khalili Dizaji Tufan Kumbasar Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkey Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey

Mouth radiography is one of the common ways of diagnosing tooth decays. Especially for interdental decays which are hard to be examined by naked eyes. In this paper, we present a method for diagnosing internal decay in real word mouth radiography images, which have been gathered in Tabirz Sina dental clinic. Firstly, we will use Kernel Fuzzy C-Means (KFCM) algorithm, which is modifying the objective function in the fuzzy C-means algorithm using a kernel-induced distance metric, as an image segmentation method. Then, the processed images are labelled with decay and are then employed to a cascade object detector for diagnosing purposes. In order to show the efficiency of the employed method the performance is tested on testing mouth radiography image data set. The results indicate that this method composed of KFCM and cascade object detector structures is successful in detecting interdental decays.

关键词： Detectors Kernel Image segmentation Diagnostic radiography Teeth Training

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Parallel Distance: A New Paradigm of Measurement for Parallel Driving

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 1169-1178页

作者： Teng Liu Hong Wang Bin Tian Yunfeng Ai Long Chen the Vehicle Intelligence Pioneers Inc. Qingdao 266109 the Department of Automotive Engineering Chongqing UniversityChongqing 400044China the Mechanical and Mechatronics Engineering Department Waterloo UniversityN2L 3G1Canada the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China the School of Data and Computer Science Sun Yat-sen UniversityGuangzhou 510006China

In this paper, a new paradigm named parallel distance is presented to measure the data information in parallel driving system. As an example, the core variables in the parallel driving system are measured and evaluated in the parallel distance framework. First, the parallel driving 3.0 system included control and management platform, intelligent vehicle platform and remote-control platform is introduced. Then,Markov chain(MC) is utilized to model the transition probability matrix of control commands in these systems. Furthermore, to distinguish the control variables in artificial and physical driving conditions, different distance calculation methods are enumerated to specify the differences between the virtual and real signals. By doing this, the real system can be guided and the virtual system can be im-proved. Finally, simulation results exhibit the merits and multiple applications of the proposed parallel distance framework.

关键词： Artificial and physical system parallel distance parallel driving 3.0 parallel system rotational and accelerator signal

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Development of predictive hybrid redundancy for fault tolerant in safety critical systems

Development of predictive hybrid redundancy for fault tolera...

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4th IEEE International Conference on mechatronics, ICM 2007

作者： Son, Byong Jum Park, Ji Hoon Kyung, Nam Ha Lee, Suk Kyung, Chang Lee Kim, Man Ho School of Mechanical Engineering Pusan National University 609-735 Busan Korea Republic of Dept. of Control and Automation Engineering Pukyong National University 608-739 Busan Korea Republic of Dept. of Mechatronics Intelligent Vehicle Research Team DGIST 704-230 Daegu Korea Republic of

ISBN: (纸本)142441184X

As many systems depend on electronics, concern for fault tolerance is growing rapidly. For example, a car with its steering controlled by electronics and no mechanical linkage from steering wheel to front tires (steer-by-wire) should be fault tolerant because a failure can come without any warning and its effect is devastating. In order to make system fault tolerant, there has been a body of research mainly from aerospace field. This paper presents the structure of predictive hybrid redundancy that can filter out most erroneous values. In addition, several numerical simulation results are given where the predictive hybrid redundancy outperforms well-known average and median voters. ©2007 IEEE.

关键词： Fault tolerance

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Disturbance attenuation of asymmetric structure by LMI based optimal state feedback controller with saturated actuators

Disturbance attenuation of asymmetric structure by LMI based...

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International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)

作者： Mert Sever Hakan Yazici Gulay Goktas Ibrahim Beklan Kucukdemiral Department of Mechatronics Engineering Yildiz technical University Istanbul Turkey Department of Control and Automation Engineering Yildiz technical University Istanbul Turkey

This paper is concerned with the design of linear matrix inequalities (LMIs) based optimal state-feedback controller design for seismically excited asymmetric structures (AS) having stiffness irregularities. The system is modelled in terms of mass, natural frequencies, damping ratio and eccentricities to easily obtain torsionally flexible (TF) model. A one storey, two-way asymmetric structural system is used to illustrate the effectiveness of the approach through simulations. The modelled system has bi-lateral and rotational degrees of freedom. Frequency responses show the effectiveness of proposed controller by means of a decrease in the peak values of translation at each resonance frequency. Moreover, the time domain simulation results, acquired by using real time-history data of San Francisco and El Centro Earthquakes also show that proposed controller is very effective in reducing vibration amplitudes of each direction by applicable control signals and guaranteeing the stability of the closed loop system.

关键词： Earthquakes Damping Actuators State feedback Ellipsoids Resonant frequency Acceleration

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A novel point inclusion test for convex polygons based on voronoi tessellations

arXiv

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arXiv 2020年

作者： Zengin, Rahman Salim Sezer, Volkan Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkey Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey

The point inclusion tests for polygons, in other words the point-in-polygon (PIP) algorithms, are fundamental tools for many scientific fields related to computational geometry, and they have been studied for a long time. The PIP algorithms get direct or indirect geometric definition of a polygonal entity, and validate its containment of a given point. The PIP algorithms, which are working directly on the geometric entities, derive linear boundary definitions for the edges of the polygons. Moreover, almost all direct test methods rely on the two-point form of the line equation to partition the space into half-spaces. Voronoi tessellations use an alternate approach for half-space partitioning. Instead of line equation, distance comparison between generator points is used to accomplish the same task. Voronoi tessellations consist of convex polygons, which are defined between generator points. Therefore, Voronoi tessellations have become an inspiration for us to develop a new approach of the PIP testing, specialized for convex polygons. The equations, essential to the conversion of a convex polygon to a Voronoi polygon, are derived. As a reference, a very standard convex PIP testing algorithm, the sign of offset, is selected for comparison. For generalization of the comparisons, the ray crossing algorithm is used as another reference. All algorithms are implemented as vector and matrix operations without any branching. This enabled us to benefit from the CPU optimizations of the underlying linear algebra libraries. Experimentation showed that, our proposed algorithm can have comparable performance characteristics with the reference algorithms. Moreover, it has simplicity, both from a geometric representation and the mental model. Copyright © 2020, The Authors. All rights reserved.

关键词： Computational geometry

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Extended Kalman Filter Based Nonlinear Probabilistic Model Predictive control of an Autonomous Motorcycle

Extended Kalman Filter Based Nonlinear Probabilistic Model P...

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International Conf on Electrical and Electronic engineering (ICEEE)

作者： Nurettin Çerçi Yaprak Yalçin Mechatronics Engineering Department Istanbul Technical University Istanbul Turkey Control and Automation Engineering Department Istanbul Technical University Istanbul Turkey

ISBN: (数字)9798350362541

ISBN: (纸本)9798350362558

This work focuses on the control of a nonlinear autonomous motorcycle model using Probabilistic Model Predictive control (MPC). The main purpose of this work is to control the speed, yaw angle and roll angle of the motorcycle while keeping its balance during a maneuver. The Probabilistic MPC takes into account the probabilistic disturbances acting on the control inputs or the state variables. The cost function of the optimization of this proposed nonlinear probabilistic MPC is different than the cost of traditional deterministic MPC, such that, it contains terms that represent the mean of the state variable which is calculated with the help of an Extended Kalman Filter (EKF) and also the terms as the functions of covariances of the state variables and control inputs. The optimization algorithm is fed with these mean and covariance values every time instant, then the controller calculates the optimal control sequence to apply it to the system model. The speed of the motorcycle, the yaw angle and, the roll angle of the motorcycle are controlled with good efficiency.

关键词： Costs Motorcycles Optimal control Predictive models Probabilistic logic Cost function Kalman filters Predictive control

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Improved Artificial Field Method Based on the Flight Situation Awareness Map in Coaxial Rotor UAV

Improved Artificial Field Method Based on the Flight Situati...

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International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Wei, Yiran Li, Kewei Deng, Hongbin Pan, Zhenhua Liu, Zhichao Wang, Wei School of Mechatronics Engineering Beijing Institute of Technology Beijing100081 China Beijing Institute of Computer and Electronics Application Beijing China School of Automation Beijing Institute of Technology Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9789811694912

The use of unmanned aerial vehicle (UAV) has been recognized by the majority of people, and is regarded as a reliable tool to complete some tasks. As for the obstacle avoidance of coaxial rotor UAV (CR-UAV), a flight pattern map (Flight Situation Awareness Map: FSAM) that can sense the flight environment and an integrated control method (Improved Artificial Potential Field: IAPF) based on the common artificial potential field method with appropriate improvements to achieve obstacle avoidance (IAPF). Firstly, we construct the FSAM, which can map the environment information around the UAV on the FSAM. Then, based on the FSAM, the IAPF functions are established to achieve the obstacles avoidance. Cause the artificial potential field (APF) has a characteristic that cannot avoid: the problem of local minima, a rotating potential field is put forward to ensure that the CR-UAV has only one potential equilibrium point at the target point in the environment, and it will improve the ability of CR-UAV to avoid complex obstacles. At the end of this study, through data analysis, the performance of obstacle avoidance and the attitude stability of CR-UAV are good, the simulation results confirm that the approaches proposed in this paper can address the obstacles avoidance successfully. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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