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State-based control of process services within modular process plants

Procedia CIRP 2018年 72卷 1088-1093页

作者： Henry Bloch Stephan Hensel Mario Hoernicke Katharina Stark Anna Menschner (neé Hahn) Alexander Fay Leon Urbas Torsten Knohl Jens Bernshausen Institute of Automation Technology Helmut-Schmidt-University Holstenhofweg 85 22043 Hamburg Germany Chair of Process Control Systems and Process Systems Engineering Group Technische Universität Dresden 01062 Dresden Germany ABB Corporate Research Opertions Management Wallstadter Straße 59 68526 Bayer AG 51386 Leverkusen Germany INVITE GmbH 51386 Leverkusen Germany

The modularization of process plants is an approach to cope with the changing requirements of the process industry, such as highly volatile markets and shorter product lifecycles. Each module offers services as encapsulated process functions to the superior control system for the orchestration. These services are controlled in a state-based way. The encapsulation of these services in a reasonable way is a difficult task, because aspects of process and automation engineering must be considered. This contribution introduces an approach for the encapsulation of process functions in services from an automation point of view. Furthermore, the operation modes of modules, services and field devices are discussed. Additionally, possible solutions for the orchestration based on recipe models are introduced. The developed concepts have been tested within a simulation environment.

关键词： Modular process automation Microservices Orchestration State-based control Operating modes Service-oriented architectures

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Results of a pilot experiment on monitoring the condition of buildings and structures using unmanned aerial vehicles

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IOP Conference Series: Earth and Environmental Science 2021年第1期939卷

作者： M Yu Narkevich O S Logunova P I Kalandarov A N Kalitaev G V Tokmazov P Yu Romanov O Alimov Department of Design of Buildings and Building Structures Magnitogorsk State Technical University named after G.I. Nosov Magnitogorsk Russia Department of Computer Engineering and Programming Magnitogorsk State Technical University named after G.I. Nosov Magnitogorsk Russia Department of Automation and Control of Technological Process and Production Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Tashkent Uzbekistan Department of Higher Mathematics Admiral F.F. Ushakov State Maritime University Novorossiysk Russia Department of Applied Mathematics and Computer Science Magnitogorsk State Technical University named after G.I. Nosov Magnitogorsk Russia Jizzakh Polytechnic Institute Jizzakh Uzbekistan

The purpose of the experimental study presented in the paper is to generate new knowledge about the possibility of using unmanned aerial vehicles to survey buildings and structures for subsequent extraction of information about their condition in hard-to-reach or remote places. As objects for the pilot experiment, the following were selected: a residential building in an urban environment that has been destroyed during operation; an object of unfinished construction; a roadway on the carriageway. An unmanned aerial vehicle of the model: DJI Mavic Air was used to survey the objects. The results of the study of objects are recorded in the form of photo and video streams for each object. Comparison of the results of the inspection of objects by experts and unmanned aerial vehicles showed the possibility and necessity of using new means to collect information about the condition of buildings and structures. The primary processing of the obtained images revealed their features: the effect of illumination on the color characteristics of the object of study; the presence of a textural component that complicates the process of separating the defect from the background; the presence of objects in the image that are not related to the elements of surface destruction; the change in the initial size of the object over time. The detected features of the images allow the use of standard algorithms and processing and require the synthesis of unique trajectories of their application.

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Dynamical Model of Axially Moving Steel Strips

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IFAC-PapersOnLine 2016年第20期49卷 190-195页

作者： Saxinger, M. Steinboeck, A. Baumgart, M. Kugi, A. Christian Doppler Laboratory for Model-Based Process Control in the Steel Industry Automation and Control Institute Vienna University of Technology Austria Automation and Control Institute Vienna University of Technology Austria

Axially moving strips are frequently encountered in industry for various applications. On the one hand, accurate models of transverse displacements of strips are desired for plant design and safety or reliability reasons. On the other hand, the models may serve as a basis for model-based controller and observer design. For the latter also, the complexity of the models should be as low as possible. This work focuses on the development of dynamical models of the motion and elastic deformation of axially moving steel strips guided by rolls. For spatial discretization of both in-plane and out-of-plane motion, the Galerkin weighted residual method is employed and the longitudinal direction of the strip is divided into finite elements. A tailored time integration method is implemented and dynamic simulations for different boundary conditions of a strip in a hot dip galvanizing line are carried out and analyzed. The influence of the geometrical nonlinearity on the transversal displacements of the strip is investigated by means of a faulty air cooler. Finally, the affect of the geometrical nonlinearity on the dynamic and static behavior of the steel strip is investigated in more detail. © 2016

关键词： Finite element method Computer simulation Iron and steel industry Mathematical models Steelmaking Strip metal Wave equations control applications Different boundary condition Distributed parameter systems Dynamical model Galerkin weighted residual method Geometrical non linearity Mechanical systems Transversal displacement

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A continuous-time formulation for refinery production scheduling problems involving operational transitions in mode switching

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Chinese Journal of Chemical Engineering 2016年第8期24卷 1020-1031页

作者： Lei Shi Yongheng Jiang Ling Wang Dexian Huang Institute of Process Control Engineering Department of Automation Tsinghua University Tsinghua National Laboratory for Information Science and Technology Tsinghua University

In the refinery scheduling, operational transitions in mode switching are of great significance to formulate dynamic nature of production and obtain efficient schedules. The discrete-time formulation meets two main challenges in modeling: discrete approximation of time and large size of mixed-integer linear problem(MILP).In this article, a continuous-time refinery scheduling model, which involves transitions of mode switching, is presented due to these challenges. To reduce the difficulty in solving large scale MILPs resulting from the sequencing constraints, the global event-based formulation is chosen. Both transition constraints and production transitions are introduced and the numbers of key variables and constraints in both of the discrete-time and continuous-time formulations are analyzed and compared. Three cases with different lengths of time horizons and different numbers of orders are studied to show the efficiency of the proposed model.

关键词： Refinery scheduling Operational transitions Continuous-time representation

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Human intention estimation based on hidden Markov model motion validation for safe flexible robotized warehouses

arXiv

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arXiv 2018年

作者： Petković, Tomislav Puljiz, David Marković, Ivan Hein, Björn University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering Laboratory for Autonomous Systems and Mobile Robotics Unska 3 ZagrebHR-10000 Croatia Karlsruhe Institute of Technology Institute for Anthropomatics and Robotics Intelligent Process Automation and Robotics Lab Kaiserstraße 12 Deutschland KarlsruheDE-76131

With the substantial growth of logistics businesses the need for larger warehouses and their automation arises, thus using robots as assistants to human workers is becoming a priority. In order to operate efficiently and safely, robot assistants or the supervising system should recognize human intentions in real-time. Theory of mind (ToM) is an intuitive human conception of other humans' mental state, i.e., beliefs and desires, and how they cause behavior. In this paper we propose a ToM based human intention estimation algorithm for flexible robotized warehouses. We observe human's, i.e., worker's motion and validate it with respect to the goal locations using generalized Voronoi diagram based path planning. These observations are then processed by the proposed hidden Markov model framework which estimates worker intentions in an online manner, capable of handling changing environments. To test the proposed intention estimation we ran experiments in a real-world laboratory warehouse with a worker wearing Microsoft Hololens augmented reality glasses. Furthermore, in order to demonstrate the scalability of the approach to larger warehouses, we propose to use virtual reality digital warehouse twins in order to realistically simulate worker behavior. We conducted intention estimation experiments in the larger warehouse digital twin with up to 24 running robots. We demonstrate that the proposed framework estimates warehouse worker intentions precisely and in the end we discuss the experimental results. Copyright © 2018, The Authors. All rights reserved.

关键词： Virtual reality

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Interdependent order allocation in the two-echelon supply chain using agent-based negotiation 36

Interdependent order allocation in the two-echelon supply ch...

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第36届中国控制会议

作者： Jian Wang Huimin Miao System Engineering Institute School of AutomationHuazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Hubei Province Key Laboratory of Systems Science in Metallurgical Process Wuhan University of Science and Technology

ISBN: (纸本)9781538629185

Nowadays,many researches study the negotiation-based order allocation problem in the supply chain environment,aiming to improve the efficiency of the allocation and the profits of the supply chain *** competition and cooperation in supplier’s side are mainly addressed because of independent *** this paper,we analyze an interdependent order allocation problem in a two-echelon supply *** supply chain consists of a manufacturer echelon and a supplier *** to the interdependence,both the competition and cooperation in the manufacturer echelon are *** agent-based negotiation algorithm is developed to support the order allocation process and the conflicts *** show in experiments that orders under various supply chain contexts can be successfully allocated through the algorithm.

关键词： Supply chain system order allocation agent-based negotiation

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Distributed Least Squares Solver for Network Linear Equations

arXiv

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arXiv 2018年

作者： Yang, Tao George, Jemin Qin, Jiahu Yi, Xinlei Wu, Junfeng State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China U.S. Army Research Laboratory AdelphiMD20783 United States Department of Automation University of Science and Technology of China Hefei230027 China Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm100 44 Sweden College of Control Science and Engineering Zhejiang University Hangzhou310027 China

In this paper, we study the problem of finding the least square solutions of over-determined linear algebraic equations over networks in a distributed manner. Each node has access to one of the linear equations and holds a dynamic state. We first propose a distributed least square solver over connected undirected interaction graphs and establish a necessary and sufficient on the step-size under which the algorithm exponentially converges to the least square solution. Next, we develop a distributed least square solver over strongly connected directed graphs and show that the proposed algorithm exponentially converges to the least square solution provided the step-size is sufficiently small. Moreover, we develop a finite-time least square solver by equipping the proposed algorithms with a finite-time decentralized computation mechanism. The theoretical findings are validated and illustrated by numerical simulation examples. Copyright © 2018, The Authors. All rights reserved.

关键词： Linear equations

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Real-time capable nonlinear pantograph models using local model networks in state-space configuration

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IFAC-PapersOnLine 2016年第21期49卷 157-162页

作者： Maier, Clemens C. Schirrer, Alexander Kozek, Martin Technische Universität Wien Institute of Mechanics and Mechatronics Division of Control and Process Automation ViennaA-1060 Austria

Modern pantograph current collectors for high-speed trains are mechatronic systems that are increasingly equipped with active control to maximize their dynamic performance. To realize a high-quality contact, decrease wear, and increase speed, it is necessary to use high-fidelity co-simulation and hardware-in-the-loop (HiL) testing tools, as well as modern model-based control (MBC) concepts. In all these areas, efficient, real-time-capable and accurate models of the pantograph dynamics are required. This paper proposes two different real-time-capable nonlinear pantograph models based on the local model network (LMN) methodology, intended for utilization in co-simulation and control design. They are identifiable by measurement data and applicable for different pantograph geometries. The proposed model structures attain significant improvements in accuracy compared to classical models via global linearization, and they are highly computationally efficient. © 2016

关键词： Electric current collection Fuzzy neural networks MIMO systems Model structures Pantographs Quality control Railroad cars Railroads Computationally efficient Hardware in the loops High speed train (HST) Model based controls Neuro fuzzy network Non linear model Real time capability Subspace identification

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Robust Fault Detection for Discrete-Time Markovian Jump Linear Systems with Partly Unknown Transition Probabilities 35

Robust Fault Detection for Discrete-Time Markovian Jump Line...

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第35届中国控制会议

作者： SHI Jiangbin YIN Yanyan LIU Fei Institute of Automation Jiangnan UniversityKey Laboratory of Advanced Process Control for Light Industry

ISBN: (纸本)9781509009107

The problem of robust fault detection(RFD) for discrete-time Markovian jump linear systems(MJLSs) with partly unknown transition probabilities is investigated in the paper. The RFD observer(RFDO) system and the dynamics of error generator are constructed. By introducing some free-weighting matrices, the proposed method leads to less conservatism compared with the existing ones. Moreover, the H performance index is proposed to minimize the influence of the unknown disturbances. Sufficient conditions on the existence of RFDO are established and given in terms of LMIs. Finally, a simulation example is given to illustrate that the proposed RFDO can detect the faults correctly and shortly after the occurrence.

关键词： robust fault detection(RFD) Markovian jump linear systems(MJLSs) partly unknown transition probabilities linear matrix inequalities

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An Error-Entropy Minimization Algorithm for Tracking control of Nonlinear Stochastic Systems with Non-Gaussian Variables

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IFAC-PapersOnLine 2017年第1期50卷 10407-10412页

作者： Liu Y. Wang A. Guo L. Wang H. State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China Institute of Computer Sciences Anhui University Anhui China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Pacific Northwest National Laboratory 902 Battelle Blvd RichlandWA 99352 United States

This paper presents an error-entropy minimization tracking control algorithm for a class of dynamic stochastic systems. The system is represented by a set of time-varying discrete nonlinear equations with non-Gaussian stochastic input, where the statistical properties of stochastic input are unknown. By using Parzen windowing with Gaussian kernel to estimate the probability densities of errors, recursive algorithms are then proposed to design the controller such that the tracking error can be minimized. The performance of the error-entropy minimization is compared with the mean-square-error minimization in the simulation results. © 2017

关键词： information potential Minimum error entropy non-Gaussian variables probability density function stochastic systems

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