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2017 21st International Conference on Process Control (PC)最新文献

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Gaussian trajectories in motion control for camless engines 无凸轮发动机运动控制中的高斯轨迹
2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976192
Benedikt Haus, Paolo Mercorelli, N. Werner
{"title":"Gaussian trajectories in motion control for camless engines","authors":"Benedikt Haus, Paolo Mercorelli, N. Werner","doi":"10.1109/PC.2017.7976192","DOIUrl":"https://doi.org/10.1109/PC.2017.7976192","url":null,"abstract":"In the last few years, variable engine valve control has attracted a lot of attention because of its ability to reduce pumping losses and increase torque performance over a wider speed and load range. Variable valve timing also allows control of internal exhaust gas recirculation, thus improving fuel economy and reducing NOx emissions. One of the most important issues in this context is to track suitable variable (optimized in terms of engine speed and load) motion profiles for the intake and exhaust valves. This can be achieved using dedicated actuators for the valves instead of a traditional camshaft. This contribution considers a new kind of actuator for this purpose and its control for motion tracking in the context of camless systems. However, this paper's main intention is to introduce a method of generating variable engine valve trajectories that are based on Gaussian curves and exemplarily provide the reader with information on how to exploit their favorable mathematical properties for control design purposes. As a demonstration of this kind of curve's variability, a delay-compensating phase-adaptive feedforward action is derived from a linear model description of the actuator. Simulations show the effectiveness of a simple heuristic delay-estimation algorithm in combination with the mentioned feedforward action.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"475 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":"127811686","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: 0
Model predictive control of a combined electrolyzer-fuel cell educational pilot plant 电解槽-燃料电池联合教学中试装置模型预测控制
2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976205
Deepak D. Ingole, Ján Drgoňa, M. Kalúz, Martin Klauco, M. Bakosová, M. Kvasnica
{"title":"Model predictive control of a combined electrolyzer-fuel cell educational pilot plant","authors":"Deepak D. Ingole, Ján Drgoňa, M. Kalúz, Martin Klauco, M. Bakosová, M. Kvasnica","doi":"10.1109/PC.2017.7976205","DOIUrl":"https://doi.org/10.1109/PC.2017.7976205","url":null,"abstract":"In today's era of renewable energy, hydrogen fueled proton exchange membrane (PEM) fuel cells are considered as an important source of clean energy. As the technology is emerging fast, many universities and colleges have adopted fuel cells in their educational program. In this paper, we will present the modeling and control of the fuel cell pilot plant present in Clean Energy Trainer, which is used by students and researchers in many universities. The plant under consideration is a laboratory-scale pilot plant designed mainly for verifying the applicability of theoretically studied control strategies on the real-world application. The plant is a series connection of electrolyzer and a PEM fuel cell stack with one input and one output. The control of such a plant is the challenging research problem due to the nonlinearities, slow dynamics, dynamics and physical constraints. The control oriented data-driven model of the plant is developed and validated through a series of experiments. To tackle the electrolyzer-fuel cell control problem, we present a model predictive control (MPC) scheme that can take into account the physical constraints of the plant. In addition to the controller, a disturbance observer is designed to cope with the external disturbances and to avoid adverse effects on the system performance. Subsequently, the developed control scheme is successfully implemented in realtime. Highly satisfactory results are obtained, regarding reference tracking, constraint handling, and disturbance rejection.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"40 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":"127970247","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: 1
Power optimizing control of grinding process in electromagnetic mill 电磁磨粉机磨矿过程功率优化控制
2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976242
S. Ogonowski, Z. Ogonowski, M. Swierzy
{"title":"Power optimizing control of grinding process in electromagnetic mill","authors":"S. Ogonowski, Z. Ogonowski, M. Swierzy","doi":"10.1109/PC.2017.7976242","DOIUrl":"https://doi.org/10.1109/PC.2017.7976242","url":null,"abstract":"The paper presents optimizing control of the electromagnetic grinding system. The electromagnetic grinding is a complex process, thus formulation of the optimization problem is done in a top-down manner. To do so, the parameters which influence product quality and serves as decision variables are specially selected. The selection follows from environmental analysis of the system and discussion of the dynamics of disturbances which affect the grinding process. The criterion function to be minimized is electrical energy consumption. Algorithms solving optimization problem are described in the paper. The optimizing control performs as adaptive-like system where minimum energy is kept by proper control of the inverter. Control system constitutes an element of SCADA layered structure.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"5 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":"127555758","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: 11
PLC control of casting die preheating process as distributed parameter system 采用PLC控制铸模预热过程作为分布式参数系统
2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976224
L. Bartalský, C. Belavý, M. Bartko, G. Hulkó, M. Kubiš
{"title":"PLC control of casting die preheating process as distributed parameter system","authors":"L. Bartalský, C. Belavý, M. Bartko, G. Hulkó, M. Kubiš","doi":"10.1109/PC.2017.7976224","DOIUrl":"https://doi.org/10.1109/PC.2017.7976224","url":null,"abstract":"In the paper a problem of casting die preheating control is solved. Concept of the control is designed based on distributed parameters systems. The design of the control structures are created within simulation studies, afterwards are connected into co-simulation regime network to tune the control parameters and then applied to control of preheating using PLC.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"2 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":"131888878","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: 0
Predictive control of the magnetic levitation model 磁悬浮模型的预测控制
2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976238
Lukás Rusar, Adam Krhovják, V. Bobál
{"title":"Predictive control of the magnetic levitation model","authors":"Lukás Rusar, Adam Krhovják, V. Bobál","doi":"10.1109/PC.2017.7976238","DOIUrl":"https://doi.org/10.1109/PC.2017.7976238","url":null,"abstract":"This paper presents a possible way to control the a very fast nonlinear systems. The system of the magnetic levitation was chosen as an exemplar process. This is an example of the process with a sampling period in order of milliseconds. We chose a predictive control method to control this system. The state-space CARIMA mathematical model is used for prediction of the output values. This paper describes the magnetic levitation model, its linearization, prediction of the output values and a calculation of the control signal by using a predictor-corrector method which turned out to be the best solution out of the selected ones. The results compare several optimization methods to achieve the fastest calculation of the control signal. All of the simulation was done in Matlab.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"1 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":"130682040","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: 7
From stochasticism to determinism in evaluation of human postural responses 评价人体姿势反应从随机到决定论
2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976219
B. Barbolyas, C. Belavý, J. Vachálek, L. Dedík, D. Bzdúšková
{"title":"From stochasticism to determinism in evaluation of human postural responses","authors":"B. Barbolyas, C. Belavý, J. Vachálek, L. Dedík, D. Bzdúšková","doi":"10.1109/PC.2017.7976219","DOIUrl":"https://doi.org/10.1109/PC.2017.7976219","url":null,"abstract":"The Center of Pressure (COP) signal is a kind of human postural response and it is an established indicator of human ability to maintain balanced posture. Its form of the statokinesigram has complicated profile, which suggests stochastic or chaotic nature of COP movement. Here is presented developed statokinesigram trajectory (DST) as a basis of method for human postural response analysis. Since DST does not show signs of stochastic behavior it is suitable for modeling with help of linear system theory. In this study, volunteer's postural responses were affected by bilateral vibration stimuli of Achilles tendons. This vibration stimulus causes nonlinear response in anterior-posterior direction. DST allows to analyze this phenomenon through mathematical model in form of a transfer function. Its estimated parameters are useful in evaluation of human posture control.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"22 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":"125368830","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: 0
Distributed adaptive consensus protocol with Laplacian eigenvalues estimation 基于拉普拉斯特征值估计的分布式自适应共识协议
2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976225
Š. Knotek, Kristian Hengster-Movrić, M. Šebek
{"title":"Distributed adaptive consensus protocol with Laplacian eigenvalues estimation","authors":"Š. Knotek, Kristian Hengster-Movrić, M. Šebek","doi":"10.1109/PC.2017.7976225","DOIUrl":"https://doi.org/10.1109/PC.2017.7976225","url":null,"abstract":"This paper addresses distributed consensus problem for multi-agent systems with general linear time-invariant dynamics and undirected connected communication graphs. A distributed adaptive consensus protocol is found to solve problems of existing adaptive consensus protocols related to different, generally large and possibly unbounded coupling gains. This protocol guarantees ultimate boundedness under all conditions, however for an asymptotic stability, a proper estimation of reference values for coupling gains is required. Here, we propose an algorithm for the estimation of the coupling gain reference. The algorithm is based on a distributed estimation of the Laplacian eigenvalues. In comparison to the previously proposed algorithm based on the interval halving method, this algorithm offers robustness to change of the network topology. In addition, it decouples the estimation from the consensus protocol, hence it does not influence stability properties of the adaptive consensus protocol.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"30 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":"114020089","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: 1
Stability analysis of wave based control: Practical aspects 波浪控制的稳定性分析:实用方面
2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976259
Martin Langmajer, M. Schlegel, Vlastimil Setka
{"title":"Stability analysis of wave based control: Practical aspects","authors":"Martin Langmajer, M. Schlegel, Vlastimil Setka","doi":"10.1109/PC.2017.7976259","DOIUrl":"https://doi.org/10.1109/PC.2017.7976259","url":null,"abstract":"The wave-based control system has a potential to become effective method of vibration-damping controller design. The only design requirement of this method is to absorb the returning wave by the actuator. Stability or performance of the overall system is not included in the design specifications and the approach does not provide it in general. The advantage of this approach is that it does not need sensors along the entire length of system and it can simultaneously control position and damps vibration. On the other hand, this method is relatively young and there are many areas of research that have to be explored. This paper brings the stability analysis of wave based control for homogeneous chains. The paper also presents some remarks that extend obtained result for distributed systems.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"12 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":"113983420","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: 1
Development of inferential models for fractionation reformate unit 分馏重整装置推理模型的建立
2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976204
Z. U. Andrijic, I. Mohler, N. Bolf, Hrvoje Dorić
{"title":"Development of inferential models for fractionation reformate unit","authors":"Z. U. Andrijic, I. Mohler, N. Bolf, Hrvoje Dorić","doi":"10.1109/PC.2017.7976204","DOIUrl":"https://doi.org/10.1109/PC.2017.7976204","url":null,"abstract":"Industrial facilities show an increasing need for continuous measurement and monitoring a large number of process variables due to strict product quality requirements, environmental laws and for advanced process control application. On-line analyzers typically suffer from long measurement delays not desirable in continuous control. Suitable alternative are soft sensors and inferential control. In this paper the development of soft sensor models for the estimation of light reformate benzene content is carried out. Linear dynamical autoregressive model with external inputs (ARX), autoregressive moving average model with exogenous inputs (ARMAX) and Box-Jenkins (BJ) models are developed. For the regression vector optimization usually performed by trial and error, Genetic Algorithm (GA) and Simulated Annealing (SA) methods have been applied. The results indicate that the GA and SA as global optimization methods are suitable for the regressor order estimation of linear dynamical models with multiple inputs. Based on developed soft sensors, it is possible to apply advanced process control schemes.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"22 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":"124833948","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: 1
Robust PID controller design for the magnetic levitation system: Frequency domain approach 磁悬浮系统鲁棒PID控制器设计:频域方法
2017 21st International Conference on Process Control (PC) Pub Date : 2017-06-01 DOI: 10.1109/PC.2017.7976226
M. Hypiusová, A. Kozáková
{"title":"Robust PID controller design for the magnetic levitation system: Frequency domain approach","authors":"M. Hypiusová, A. Kozáková","doi":"10.1109/PC.2017.7976226","DOIUrl":"https://doi.org/10.1109/PC.2017.7976226","url":null,"abstract":"The paper deals with the frequency domain design of a robust PID controller for unstable SISO systems. The approach applied is based on performance specification in terms of phase and gain margins; to guarantee the desired performance a modification of the Neimark D-partition is used. In the case study a PID controller has been designed for the laboratory Magnetic Levitation System.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"34 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":"124939922","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: 23
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