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systems Engineering Challenges and MBSE Opportunities for Automotive System Design

Systems Engineering Challenges and MBSE Opportunities for Au...

引用

IEEE international conference on systems, Man, and Cybernetics (SMC)

作者： D'Ambrosio, Joseph Soremekun, Grant Gen Motors Global R&D Elect & Control Syst Res Lab Warren MI 48090 USA

ISBN: (纸本)9781538616451

Many industries are facing rapid growth in the complexity of the systems they develop. In the automotive domain, vehicles are essentially becoming high performance computing platforms, comprised of dozens of electronic control systems (ECUs) that process over 100 million of lines of software code. In addition, Tens of thousands of vehicle product variants must be managed. One of the primary ways problems associated with increased system complexity can be mitigated so that products are delivered on time, on budget, and with minimal quality issues, is for engineering organizations to utilize the most effective systems engineering methodologies. Model based systems engineering (MBSE), implemented using languages like SysML, is one such methodology that has gained a foothold over the past 10-15 years and continues to be refined and improved today. This paper provides an overview of the general challenges systems engineering faces today including those associated with the automotive industry. Approaches based on MBSE are considered to address these challenges. Next, an enterprise-wide model-based engineering (MBE) strategy proposed by the aerospace and defense industry that could also be effectively utilized by automotive OEMs is discussed. Finally, a set of specific automotive applications of MBSE is described.

关键词： Model Based systems Engineering Automotive systems Feature modeling

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Towards a scalable quantum computer

Towards a scalable quantum computer

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international conference on Design and Technology of Integrated systems in Nanoscale Era (DTIS)

作者： C. G. Almudever N. Khammassi L. Hutin M. Vinet M. Babaie F. Sebastiano E. Charbon K. Bertels Department of Quantum and Computer Engineering and QuTech Delft University of Technology CEA-LETI

A quantum machine may solve some complex problems that are intractable for even the most powerful classical computers. By exploiting quantum superposition and entanglement phenomena, quantum algorithms can achieve from polynomial to exponential speed up when compared to their best classical counterparts. A quantum computer will be a part of a heterogeneous, multi-core computer in which a classical processor will interact with several accelerators such as FPGAs, GPUs and also a quantum co-processor. Figure 1 shows the different layers of the quantum computer system stack [1]. Building such a quantum system requires contributions from different fields such as physics, electronics, computer science and computer engineering for addressing the following challenges: i) build scalable quantum chips integrating qubits with long coherence times and high-fidelity operations, ii) develop classical control electronics at possibly cryogenic temperatures and iii) create the microarchitecture as well as the software for quantum computation.

关键词： Quantum computing Cryogenics Quantum entanglement Buildings Coherence Temperature control Microarchitecture

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Study on Strategy of Optimizing Long Span Bridge Aseismic System

Study on Strategy of Optimizing Long Span Bridge Aseismic Sy...

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international conference on Engineering Simulation and Intelligent control (ESAIC)

作者： Penghui Zhang Junjun Guo Xinzhi Dang Wancheng Yuan State Key Laboratory of Disaster Reduction in Civil Engineering Tongji University Shanghai China

ISBN: (纸本)9781538680292

Long span bridges play an important role in the transportation system. It will cause great economic losses and casualty when long span bridges break down under an earthquake. To meet the specified objects of long span bridges under complex environmental conditions, the existing researches of long-span continuous girder bridges, rigid frame bridges, arch bridges, and cable supported bridges were reviewed. The structural characteristics and typical earthquake damage of different bridge systems were summarized. It is found that the dynamic characteristics of structures are essential to solve problems, such as excessive lateral displacement of the girder end and seismic resistance under different ground motion spectrum characteristics. Then feasibility of designing the dynamic characteristics through the control of mass, stiffness distribution and boundary conditions was discussed. Finally, the development of the seismic system of long span bridges was prospected. The results can provide references for seismic design of bridges.

关键词： conferences Intelligent control

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Investigation of the joint semantic environment for heterogeneous robotics 10

Investigation of the joint semantic environment for heteroge...

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10th international conference on Management of Large-Scale System Development (MLSD)

作者： Rozhnov, A., V Lobanov, I. A. ICS RAS Moscow Russia

ISBN: (纸本)9781538607985

The study is devoted to heterogeneous robotics which described by partially unknown beforehand equations of dynamics. "A window of possibilities" for research and development for heterogeneous robotics is reported. The goal of the work is the analysis of new opportunities for counterfactual modeling (forecasting and situation awareness) in carrying out search research in the development and application of modern applications of information-analytical and other types of support for complex systems. The necessity of integration components is substantiated under formation of the joint semantic environment for mixed robotic groups and their coalitions.

关键词： system integration heterogeneous robotics advanced technologies integration components monitoring autonomous systems window of opportunity coalition

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A pressure servo device based on switching valves designed for more-electric aircraft brake system

A pressure servo device based on switching valves designed f...

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CSAA/IET international conference on Aircraft Utility systems (AUS 2018)

作者： Hao Zhang Yaoxing Shang Zongxia Jiao Shuai Wu Xiaochao Liu School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9781510872745

Aircraft braking system is essential to the safety of aircrafts and passengers. Traditional aircraft brake systems have some problems: dependence on the hydraulic energy from EDP; low reliability of complex hydraulic lines all over the landing gear, extra take-off weight brought by hydraulic lines, which could lead to aircraft accidents in severe cases. In this paper, an integrated pressure servo device based on double switching valves is proposed, whose operating mode is similar to that of EHA on the surface of civil aircrafts. Compared with the traditional aircraft brake system, extra hydraulic pipelines are canceled, and only electric is needed, which has great advantages in safety, reliability and economy. In this paper, the design and simulation of the braking system were introduced, the prototype was designed, which indicated the future development of this device is prospected.

关键词： Electro-hydraulic Aircraft brake system More electric Switching valve Pressure control

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Autonomous Drifting control in 3D Car Racing Simulator

Autonomous Drifting Control in 3D Car Racing Simulator

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international IEEE conference on Intelligent systems, IS

作者： Igor Zubov Ilya Afanasyev Aidar Gabdullin Ruslan Mustafin Ilya Shimchik Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Institute of Robotics Innopolis University Innopolis Russia Innopolis University Innopolis Russia

ISBN: (纸本)9781538670989;9781538670972

It is known that drifting is a driving technique, when a car is moving along some direction different from its steering trajectory, having a slip angle at the rear axle greater then at the forward axle. Even though it is often used in auto sport, it is still not applied to everyday life due to safety concerns. On the other hand, using all car control possibilities can provide safe driving even in extreme conditions without a crash. This article is devoted to the investigation and development of a drift controller and its application in electric car simulation with studying the problems of autonomous drifting and stabilization around an equilibrium state. To implement the drift controller, we used all-wheel drive Roborace Robocar in Speed Dreams car racing simulator, applying the mechanical bicycle and simplified nonlinear tire models to define tire parameters, and two state equilibrium model to compute the equilibrium points. Although the steering drift controller is rather simple and based on errors from equilibrium values, to find controller's gains the model was linearized, and controller was represented as full-state feedback that guaranteed its stability.

关键词： Automobiles Tires Computational modeling Wheels Mathematical model Friction Robots

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Neutral Current Compensation in a VSG-Based Three-Phase Four-Wire Microgrid System

Neutral Current Compensation in a VSG-Based Three-Phase Four...

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international conference on Environment and Electrical Engineering (EEEIC)

作者： Jiannan Liu Fida Rafi Junwei Lu M. J. Hossain Queensland Micro and Nano Technology Centre Griffith University Brisbane Australia Department of Engineering Macquarie University Sydney Australia

A three-phase four-wire system is commonly used on the customer side as a low-voltage power system for supplying universal single-phase loads. The degree of unbalance in the distribution system is growing due to interconnections of distributed energy resources unevenly in different phases. The unbalanced loads may cause an excess neutral current, which can result in the neutral conductor overload and power system security problems. In this paper, a control strategy based on the virtual synchronous generator with a neutral current controller is proposed. The controller enables the microgrid to operate under both grid-connected and islanded mode with the minimum neutral current. A microgrid built in Griffith University, Australia is used to verify the performances of the designed control algorithm. From the results, it is found that the proposed controller ensures smooth transition of microgrids from the grid-tied mode to the islanding mode, while regulating the active, reactive and unbalanced power efficiently.

关键词： Microgrids Voltage control Load modeling Synchronous generators Mathematical model Power system stability Reactive power

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Using a Memory of Motion to Efficiently Warm-Start a Nonlinear Predictive controller

Using a Memory of Motion to Efficiently Warm-Start a Nonline...

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IEEE international conference on Robotics and Automation

作者： N. Mansard A. Del Prete M. Geisert S. Tonneau O. Stasse LAAS-CNRS Univ. Toulouse France

Predictive control is an efficient model-based methodology to control complex dynamical systems. In general, it boils down to the resolution at each control cycle of a large nonlinear optimization problem. A critical issue is then to provide a good guess to initialize the nonlinear solver so as to speed up convergence. This is particularly important when disturbances or changes in the environment prevent the use of the trajectory computed at the previous control cycle as initial guess. In this paper, we introduce an original and very efficient solution to automatically build this initial guess. We propose to rely on off-line computation to build an approximation of the optimal trajectories, that can be used on-line to initialize the predictive controller. To that end, we combined the use of sampling-based planning, policy learning with generic representations (such as neural networks), and direct optimal control. We first propose an algorithm to simultaneously build a kinodynamic probabilistic roadmap (PRM) and approximate value function and control policy. This algorithm quickly converges toward an approximation of the optimal state-control trajectories (along with an optimal PRM). Then, we propose two methods to store the optimal trajectories and use them to initialize the predictive controller. We experimentally show that directly storing the state-control trajectories leads the predictive controller to quickly converges (2 to 5 iterations) toward the (global) optimal solution. The results are validated in simulation with an unmanned aerial vehicle (UAV) and other dynamical systems.

关键词： Computational modeling Approximation algorithms Optimal control Planning Robots Trajectory optimization

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Dynamic modeling and control of Inverted Pendulum Robots Moving on Undulating Pavements 7

Dynamic Modeling and Control of Inverted Pendulum Robots Mov...

引用

7th international conference on Information Science and Technology (ICIST)

作者： Liang, Dingkun Sun, Ning Wu, Yiming Fang, Yongchun Nankai Univ Inst Robot & Automat Informat Syst Tianjin 300350 Peoples R China

ISBN: (纸本)9781509054015

The inverted pendulum robot (IPR) system is non-linear and underactuated. On undulating pavements, the tilting angle of the surface is a function of the vehicle displacement and changing over time. In fact, the control objective of IPRs on undulating pavements is more complex and challenging than on the horizontal case. In this paper, the dynamic model of IPRs on undulating pavements is established. Then, some works about the state assignment and linearization are done to prepare for designing a linear quadratic regulator (LQR) controller. Furthermore, the effectiveness of the suggested LQR controller is verified through numerical simulation results.

关键词： Inverted pendulum robots motion control under-actuated systems modeling

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Human arm motion analysis based on the inverse optimization approach

Human arm motion analysis based on the inverse optimization ...

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IEEE international conference on Biomedical Robotics and Biomechatronics

作者： Adina M. Panchea Nacim Ramdani Vincent Bonnet Philippe Fraisse Univ. Paris-Saclay CNRS LIX Ecole Polytechnique Palaiseau France PRISME EA 4229 INSA CVL Univ. Orléans Orléans F45072 France Laboratory of Images Signals and Intelligent Systems (LISSI) Univ. Paris-Est (UPEC) Créteil France LIRMM UMR 5506 C

ISBN: (纸本)9781538681848

This study proposes a new inverse optimal control (IOC) framework for the optimal modelling of human arm motion. The proposed IOC is based on parameterized Lagrangians and is applied to a 3D arm motion. For the investigated arm motion, we suppose that the control strategy employed by the human motor control is to minimize a weighted sum of objective functions. In this context, we propose to recover from experimental data the weights of eight kinematics and dynamics biomechanical objective functions gathered into a basis of objective functions. Moreover, we extend the basis from 8 to 28 objective functions and assign their weight values by making use of the proposed IOC technique. The exhibited results for both bases are consistent with the literature and are obtained in only a couple of minutes and not hours as reported in the literature. Finally, this study gives clues on which basis of objective functions can be relevant for analyzing a human arm motion and/or can be extended to the use of more complex models with more degrees-of-freedom.

关键词： Linear programming Task analysis Optimization Minimization Biological system modeling Robots Three-dimensional displays three-dimensional displays Biological system modeling Objective function task analysis Robot linear programming Arm spiral arm control of movement Basis control strategy

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