2017 21st International Conference on Process Control (PC)最新文献_第3页

Novel tools for model-based control system design based on FMI/FMU standard with application in energetics 基于FMI/FMU标准的基于模型的控制系统设计新工具及其在能量学中的应用

2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976250

M. Cech, J. Königsmarková, Jan Reitinger, P. Balda

{"title":"Novel tools for model-based control system design based on FMI/FMU standard with application in energetics","authors":"M. Cech, J. Königsmarková, Jan Reitinger, P. Balda","doi":"10.1109/PC.2017.7976250","DOIUrl":"https://doi.org/10.1109/PC.2017.7976250","url":null,"abstract":"The paper presents novel tools for model-based control system design based on FMI/FMU standard (Functional Mock-up Interface / Unit). It is focused on application of FMI standard for easy integration of control system development cycle starting with Model-in-the-Loop (MIL) simulation and finishing with Hardware-in-the-Loop (HIL) simulation. It is shown, how the Functional Mock-up Units (FMU) containing dynamic differential-algebraic equations of various parts of the device (mechanical, electrical, hydraulic, thermal, etc.) can be easily deployed to unified simulation environment where the control system is designed, consequently. The procedure allows to combine inputs from various Modelica-based tools at the process model side, utilizing power of Matlab/Simulink for design, analysis and optimization of control system and perform final test via HIL scenario where both the model and control system are simulated in real-time on separated HW units. The pros and cons of both FMI concepts, i.e. Co-Simulation and Model Exchange are discussed in detail. The whole procedure is demonstrated on a steam turbine example combining component-based and equation based modeling. Both the turbine model and the full control loop are validated in all phases of control system development. It is shown, that monolithic simulation block with proprietary solver reduces computational burden compared to automatic FMU concept.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126832167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Closed-loop dynamic optimization of a polymer grafting batch reactor 聚合物接枝间歇反应器的闭环动态优化

2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976243

R. Bousbia-Salah, F. Lesage, M. A. Latifi, M. Fikar

引用次数: 0

Generalized output synchronization of heterogeneous linear multi-agent systems 异构线性多智能体系统的广义输出同步

2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976179

Kristian Hengster-Movrić, M. Šebek

引用次数: 1

Legal aspects of autonomous vehicles — An overview 自动驾驶汽车的法律问题——概述

2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976252

Viktória Ilková, Adrian Ilka

引用次数: 40

Temperature control of multidimensional system using decoupled MPC controllers 解耦MPC控制器对多维系统的温度控制

2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976239

Jozef Kurilla

引用次数: 3

C code generation applied to nonlinear model predictive control for an artificial pancreas 人工胰腺非线性模型预测控制的C代码生成

2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976235

Dimitri Boiroux, John Bagterp J⊘rgensen

引用次数: 0

Internal model control of thermo-optical plant 热光学装置的内模控制

2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976210

J. Paulusová, Martin Paulus

引用次数: 2

Navigation control and stability investigation of a hexacopter equipped with an aerial manipulater 装有空中操纵器的六旋翼机导航控制与稳定性研究

2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976214

I. Ibrahim, Božek Pavol, A. Aiman, Kalashnikov Izhevsk, A. Karam

{"title":"Navigation control and stability investigation of a hexacopter equipped with an aerial manipulater","authors":"I. Ibrahim, Božek Pavol, A. Aiman, Kalashnikov Izhevsk, A. Karam","doi":"10.1109/PC.2017.7976214","DOIUrl":"https://doi.org/10.1109/PC.2017.7976214","url":null,"abstract":"In this paper, the dynamics model of a hexacopter equipped with a robotic arm has been formulated using Newton-Euler's method and its stability was investigated. For disturbances emulation, a simplified pendulum method was used. This Hexacopter configuration was not covered in scientific papers before. The resulting model is a nonlinear, coupled, and underactuated dynamics model, which includes aerodynamic effects and disturbances because of equipping the hexacopter with a robotic arm. The purpose of the presented paper is to offer a comprehensive study of determining the inertia moments of the hexacopter using a simplified pendulum method, taking into consideration the effect of mass distribution and center of gravity changes, which are a result of the continuous movement of the manipulator during the hexacopter motion in the air. The experimental tests were made using solid works application and were evaluated using LabVIEW in order to get a complete view of the disturbances, which were inserted into the dynamics model. The overall aircraft model was driven by four classical PID controllers for the vehicle's attitude and altitude of a desired trajectory in the space. These controllers were used to get a good understanding of how to evaluate and validate the model to make it an anti-disturbance model, in addition to their ease of design and fast response, but they require development in order to get optimal results. In future, a precise trajectory will be defined, and the controllers will be developed in order to get robust stability using nonlinear techniques and artificial intelligence.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115261991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Advanced process control design for a distillation column using UniSim design 采用UniSim设计的精馏塔先进过程控制设计

2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976231

J. Oravec, M. Bakosová, Petra Artzová

引用次数: 1

Probabilistic advisory system for operators can help with diagnostics of rolling mills 为操作人员提供的概率咨询系统可以帮助诊断轧机的故障

2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976202

Ivan Puchr, P. Herout

{"title":"Probabilistic advisory system for operators can help with diagnostics of rolling mills","authors":"Ivan Puchr, P. Herout","doi":"10.1109/PC.2017.7976202","DOIUrl":"https://doi.org/10.1109/PC.2017.7976202","url":null,"abstract":"Advisory system for operators of complex industrial processes has been developed and improved by an international team of scientists and people from industry since 2000. Main purpose of the advisory system is to help operator set up manually adjustable parameters of an industrial process, with the aim to reach required production quality. Industrial process is taken for a stochastic process and input signals of its control system are taken for random variables. Based on Bayesian probability theory, a software toolbox was created for handling mixtures of probability density functions describing behavior of the process. Advisory system was tested and pilot application was installed on rolling mills producing metal strips. During the tests, an idea emerged to exploit verified probabilistic approach for complicated diagnostic tasks too. This diagnostics is intended for recognition of process malfunction which cannot be easily revealed by analysis of particular single signals only but analysis in multidimensional data space must be involved instead. Main principle of the advanced diagnostic method consists in finding a representation of process behavior in a short history by a mixture of probability density functions called historical mixture. Process behavior in the latest time period is represented by actual mixture. Difference between historical and actual mixtures is evaluated by calculation of Kullback-Leibler divergence. Mixtures and divergences are calculated repeatedly in time and a big change in the divergence value can be used as a source of alarm for non-standard process behavior.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121945235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3