Pub Date : 2020-12-02DOI: 10.1109/ME49197.2020.9286626
P. Kutílek, J. Hejda, P. Volf, V. Křivánek, Ludek Cicmanec, K. Hána, P. Smrcka, I. Fajnerová
This paper aims to evaluate psychological load assessment methods in air defense members. The study is based on physiological data monitoring and compares this method with traditional questionnaire evaluation methods. Measurement using a biotelemetric system was conducted while training in flight simulators. A total of 28 subjects/soldiers were divided into seven four-member teams consisting of two pilots, an air traffic controller and a member of ground support. Physiological data was collected and monitored for all subjects during a mission flight operation. Calculations of the R-R interval length and respiratory rate were performed for all soldiers involved. Statistical analysis, i.e. the calculation of the median, maximum, minimum, first quartile and third quartile were used for physiological data presentation and the quantitative evaluation of mental stress. These results were then compared with results showing the subjective degree of psychological stress load, as determined by the questionnaire evaluation method. A simple rating scales repeatedly evaluated by individual subjects were used to determine their subjective level of mental stress before and after individual phases of the training. The data for takeoff, landing, horizontal flight and fall were evaluated and compared. Then the results for both evaluation approaches (physiological data measurement and questionnaire-based subjective evaluation) were compared. Since the normal data distribution was not shown, statistical evaluation was conducted through non-parametric tests. Based on the calculated values of the physiological parameters compared with the determined value of the questionnaire method’s rating scale, it was found that with increasing mental load determined by the subjective evaluation method, the length of the R-R interval decreased and the respiratory rate increased. These conclusions were consistent for different flight phases and within the groups of pilots, air traffic controllers and ground support members.
{"title":"Evaluation of Psychological Load of Air Defense Members by Physiological Data Monitoring Compared to the Questionnaire Evaluation Method","authors":"P. Kutílek, J. Hejda, P. Volf, V. Křivánek, Ludek Cicmanec, K. Hána, P. Smrcka, I. Fajnerová","doi":"10.1109/ME49197.2020.9286626","DOIUrl":"https://doi.org/10.1109/ME49197.2020.9286626","url":null,"abstract":"This paper aims to evaluate psychological load assessment methods in air defense members. The study is based on physiological data monitoring and compares this method with traditional questionnaire evaluation methods. Measurement using a biotelemetric system was conducted while training in flight simulators. A total of 28 subjects/soldiers were divided into seven four-member teams consisting of two pilots, an air traffic controller and a member of ground support. Physiological data was collected and monitored for all subjects during a mission flight operation. Calculations of the R-R interval length and respiratory rate were performed for all soldiers involved. Statistical analysis, i.e. the calculation of the median, maximum, minimum, first quartile and third quartile were used for physiological data presentation and the quantitative evaluation of mental stress. These results were then compared with results showing the subjective degree of psychological stress load, as determined by the questionnaire evaluation method. A simple rating scales repeatedly evaluated by individual subjects were used to determine their subjective level of mental stress before and after individual phases of the training. The data for takeoff, landing, horizontal flight and fall were evaluated and compared. Then the results for both evaluation approaches (physiological data measurement and questionnaire-based subjective evaluation) were compared. Since the normal data distribution was not shown, statistical evaluation was conducted through non-parametric tests. Based on the calculated values of the physiological parameters compared with the determined value of the questionnaire method’s rating scale, it was found that with increasing mental load determined by the subjective evaluation method, the length of the R-R interval decreased and the respiratory rate increased. These conclusions were consistent for different flight phases and within the groups of pilots, air traffic controllers and ground support members.","PeriodicalId":166043,"journal":{"name":"2020 19th International Conference on Mechatronics - Mechatronika (ME)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128561254","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}
Pub Date : 2020-12-02DOI: 10.1109/ME49197.2020.9286614
X. Liu-Henke, Sven Jacobitz, Marian Göllner, Jie Zhang, Sören Scherler, O. Yarom
This paper presents a cyber-physical Industry 4.0 laboratory test field, test field for short, for the investigation of self-optimizing intralogistics and production planning. The test field allows strategies and functions to be evaluated and tested under reproducible real-time conditions. This closes the gap between simulation and real production application in the development process for intelligent functions of the Industry 4.0. We will introduce a detailed concept of the test field as well as a brief overview of the design. Core of the test field are automated guided vehicles (AGVs) for intralogistics, which interact autonomously with other participants in an Internet of Things (IoT) network. The concept of an AGV will be presented in the course of this paper. Also, the independent guideline-free navigation will be integrated into Software-in-the-Loop simulations of the test field.
{"title":"Cyber-physical Industry 4.0 laboratory test field to simulate self-optimizing intralogistics","authors":"X. Liu-Henke, Sven Jacobitz, Marian Göllner, Jie Zhang, Sören Scherler, O. Yarom","doi":"10.1109/ME49197.2020.9286614","DOIUrl":"https://doi.org/10.1109/ME49197.2020.9286614","url":null,"abstract":"This paper presents a cyber-physical Industry 4.0 laboratory test field, test field for short, for the investigation of self-optimizing intralogistics and production planning. The test field allows strategies and functions to be evaluated and tested under reproducible real-time conditions. This closes the gap between simulation and real production application in the development process for intelligent functions of the Industry 4.0. We will introduce a detailed concept of the test field as well as a brief overview of the design. Core of the test field are automated guided vehicles (AGVs) for intralogistics, which interact autonomously with other participants in an Internet of Things (IoT) network. The concept of an AGV will be presented in the course of this paper. Also, the independent guideline-free navigation will be integrated into Software-in-the-Loop simulations of the test field.","PeriodicalId":166043,"journal":{"name":"2020 19th International Conference on Mechatronics - Mechatronika (ME)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131161578","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}
Pub Date : 2020-12-02DOI: 10.1109/ME49197.2020.9286716
R. Motuz, P. Drexler, T. Hejtmánek, N. Papež
In this paper we propose the analysis of integral magneto-optics sensors performed by Jones matrix calculus including impacts of simultaneous influence of induced circular and undesired linear birefringence. The incorporated Faraday mirror as a compensating element of linear birefringence is taken into account in analysis and simulation respectively.
{"title":"Theoretical analysis of simultaneous influence of induced circular and linear birefringence on linear birefringence compensation in fiber optics sensory applications","authors":"R. Motuz, P. Drexler, T. Hejtmánek, N. Papež","doi":"10.1109/ME49197.2020.9286716","DOIUrl":"https://doi.org/10.1109/ME49197.2020.9286716","url":null,"abstract":"In this paper we propose the analysis of integral magneto-optics sensors performed by Jones matrix calculus including impacts of simultaneous influence of induced circular and undesired linear birefringence. The incorporated Faraday mirror as a compensating element of linear birefringence is taken into account in analysis and simulation respectively.","PeriodicalId":166043,"journal":{"name":"2020 19th International Conference on Mechatronics - Mechatronika (ME)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123027377","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}
Pub Date : 2020-12-02DOI: 10.1109/ME49197.2020.9286647
P. Kutílek, J. Hejda, L. Lhotská, Jindrich Adolf, J. Dolezal, Michaela Hourova, Pavel Kral, Yoram Segal, Raz Birman, O. Hadar
The posture of body segments can be negatively influenced by many diseases of the nervous, visual and musculoskeletal systems. This article outlines a newly designed system and related procedures to record and evaluate anatomical body angles. The system is equipped with two mutually calibrated cameras allowing the evaluation of body movement in two anatomical planes. The hardware part of the camera system and calibration method was designed for practical use in clinical practice. Moreover, the proposed camera system allows for the recording and evaluation of motion data in a home environment or at a safe distance. It enables non-invasive and non-contact measuring of body segments and, therefore, can be used in distance rehabilitation and distance diagnosing. The study also demonstrates the hardware’s performance accelerator based on a human body tracking algorithm. The device utilizes the third party algorithms, such as OpenPose, for the extraction of major body points from selected video frames. Any missing data points are then interpolated through the proposed tracking algorithm. This procedure results in an acceleration of the overall hardware performance.
{"title":"Camera System for Efficient non-contact Measurement in Distance Medicine","authors":"P. Kutílek, J. Hejda, L. Lhotská, Jindrich Adolf, J. Dolezal, Michaela Hourova, Pavel Kral, Yoram Segal, Raz Birman, O. Hadar","doi":"10.1109/ME49197.2020.9286647","DOIUrl":"https://doi.org/10.1109/ME49197.2020.9286647","url":null,"abstract":"The posture of body segments can be negatively influenced by many diseases of the nervous, visual and musculoskeletal systems. This article outlines a newly designed system and related procedures to record and evaluate anatomical body angles. The system is equipped with two mutually calibrated cameras allowing the evaluation of body movement in two anatomical planes. The hardware part of the camera system and calibration method was designed for practical use in clinical practice. Moreover, the proposed camera system allows for the recording and evaluation of motion data in a home environment or at a safe distance. It enables non-invasive and non-contact measuring of body segments and, therefore, can be used in distance rehabilitation and distance diagnosing. The study also demonstrates the hardware’s performance accelerator based on a human body tracking algorithm. The device utilizes the third party algorithms, such as OpenPose, for the extraction of major body points from selected video frames. Any missing data points are then interpolated through the proposed tracking algorithm. This procedure results in an acceleration of the overall hardware performance.","PeriodicalId":166043,"journal":{"name":"2020 19th International Conference on Mechatronics - Mechatronika (ME)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123306527","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}
Pub Date : 2020-12-02DOI: 10.1109/ME49197.2020.9286452
R. Pechánek, Martin Skalicky, Jiri Drazan
The main part of this work deals with the description of the created mathematical model for calculating the magnitude of the thermal resistance of the stator slot winding of an electric machine. The given model is able to perform calculations for several different slot shapes. One of the mains input values of the calculation is the slot filling factor. The output values of the model are dependent at this factor and the total thermal resistance of the slot winding. At the end of this work is a comparison of the resulting values of the calculation and evaluation of the functionality of the mathematical model.
{"title":"Determinations of Stator Windings Thermal Model with Various Filling Factor","authors":"R. Pechánek, Martin Skalicky, Jiri Drazan","doi":"10.1109/ME49197.2020.9286452","DOIUrl":"https://doi.org/10.1109/ME49197.2020.9286452","url":null,"abstract":"The main part of this work deals with the description of the created mathematical model for calculating the magnitude of the thermal resistance of the stator slot winding of an electric machine. The given model is able to perform calculations for several different slot shapes. One of the mains input values of the calculation is the slot filling factor. The output values of the model are dependent at this factor and the total thermal resistance of the slot winding. At the end of this work is a comparison of the resulting values of the calculation and evaluation of the functionality of the mathematical model.","PeriodicalId":166043,"journal":{"name":"2020 19th International Conference on Mechatronics - Mechatronika (ME)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114198257","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}
Pub Date : 2020-12-02DOI: 10.1109/ME49197.2020.9286621
E. Prada, M. Kelemen, A. Gmiterko, Ivan Virgala, Ľ. Miková, D. Hroncová, Martin Varga, P. Sinčák
In this work, we focused on the principle of locomotion and its description using the formalism of geometric mechanics, applied to a specific robotic mechanism. By applying non-holonomic constraints to the mechanism, we know that the speed at which the entire system can move is sideways limited, but without changing the configuration environment. By expressing the language of differential geometry, the nonholonomic constraint is defined by the function on the system’s configuration tangent bundle TQ. Although the non-holonomic constraints prevent us from performing a certain type of movement, in the end it is still true that the mechatronic system can reach a defined point of the manifold $mathcal{S}E(2)$ when performing a certain combination of possible movements. Among other things, the existing two types of configuration variables affecting the overall locomotion of the mechanism were presented in the work. The first type of configuration variables are the so-called shape variables and the second type are positional variables or also group variables. The work shows that the specific locomotion of a snake-like robot is the result of a suitable combination of changes in shape and position variables.
{"title":"Locomotive, principally kinematic system of snakelike robot mathematical model with variable segment length","authors":"E. Prada, M. Kelemen, A. Gmiterko, Ivan Virgala, Ľ. Miková, D. Hroncová, Martin Varga, P. Sinčák","doi":"10.1109/ME49197.2020.9286621","DOIUrl":"https://doi.org/10.1109/ME49197.2020.9286621","url":null,"abstract":"In this work, we focused on the principle of locomotion and its description using the formalism of geometric mechanics, applied to a specific robotic mechanism. By applying non-holonomic constraints to the mechanism, we know that the speed at which the entire system can move is sideways limited, but without changing the configuration environment. By expressing the language of differential geometry, the nonholonomic constraint is defined by the function on the system’s configuration tangent bundle TQ. Although the non-holonomic constraints prevent us from performing a certain type of movement, in the end it is still true that the mechatronic system can reach a defined point of the manifold $mathcal{S}E(2)$ when performing a certain combination of possible movements. Among other things, the existing two types of configuration variables affecting the overall locomotion of the mechanism were presented in the work. The first type of configuration variables are the so-called shape variables and the second type are positional variables or also group variables. The work shows that the specific locomotion of a snake-like robot is the result of a suitable combination of changes in shape and position variables.","PeriodicalId":166043,"journal":{"name":"2020 19th International Conference on Mechatronics - Mechatronika (ME)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122240086","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}
Pub Date : 2020-12-02DOI: 10.1109/ME49197.2020.9286613
Jakub Brazina, J. Vetiška, V. Stanek, F. Bradáč, Michal Holub
This paper focuses on virtual commissioning of a robotic production system with elements of Industry 4.0. This model production system is located on the grounds of the Institute of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology. Production systems serve as a teaching support in the fields of robotics and automation. Students are acquainted with the mechatronic approach to the design of robotic production systems which are model based design For the production system design advanced software is used which is capable of simulating its kinematics, dynamics, their connection with controlling system and their mutual co-simulation. The outcome of the abovementioned is a virtually commissioned workplace. The entire design is then verified in a real workplace.
{"title":"Virtual commissioning as part of the educational process","authors":"Jakub Brazina, J. Vetiška, V. Stanek, F. Bradáč, Michal Holub","doi":"10.1109/ME49197.2020.9286613","DOIUrl":"https://doi.org/10.1109/ME49197.2020.9286613","url":null,"abstract":"This paper focuses on virtual commissioning of a robotic production system with elements of Industry 4.0. This model production system is located on the grounds of the Institute of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology. Production systems serve as a teaching support in the fields of robotics and automation. Students are acquainted with the mechatronic approach to the design of robotic production systems which are model based design For the production system design advanced software is used which is capable of simulating its kinematics, dynamics, their connection with controlling system and their mutual co-simulation. The outcome of the abovementioned is a virtually commissioned workplace. The entire design is then verified in a real workplace.","PeriodicalId":166043,"journal":{"name":"2020 19th International Conference on Mechatronics - Mechatronika (ME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126116518","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}
Pub Date : 2020-12-02DOI: 10.1109/ME49197.2020.9286698
M. Jamshidi, J. Talla, Z. Peroutka
Although many mathematical and analytical techniques have been presented to control and identify the dynamic systems, there are vast fields of research needing to be developed and extended through Deep Learning (DL) approaches. In this paper, we try to describe how intelligent controllers can interact under control systems in a unique DL-based package. Despite the fact that conventional techniques have some advantages, such as the appropriate reliability and simple implementation for industrial goals, intelligent methods have potential to solve complex problems and identify nonlinear systems. Hence the concentration of this research is on the use of DL techniques to improve the system identification and control in model reference adaptive controllers. A dataset is also used to validate the responses of the proposed techniques. The simulation results demonstrate that not only are the proposed methods consistently appropriate to control the complex systems but also they have acceptable responses in order to utilize for system identification.
{"title":"Deep Learning Techniques for Model Reference Adaptive Control and Identification of Complex Systems","authors":"M. Jamshidi, J. Talla, Z. Peroutka","doi":"10.1109/ME49197.2020.9286698","DOIUrl":"https://doi.org/10.1109/ME49197.2020.9286698","url":null,"abstract":"Although many mathematical and analytical techniques have been presented to control and identify the dynamic systems, there are vast fields of research needing to be developed and extended through Deep Learning (DL) approaches. In this paper, we try to describe how intelligent controllers can interact under control systems in a unique DL-based package. Despite the fact that conventional techniques have some advantages, such as the appropriate reliability and simple implementation for industrial goals, intelligent methods have potential to solve complex problems and identify nonlinear systems. Hence the concentration of this research is on the use of DL techniques to improve the system identification and control in model reference adaptive controllers. A dataset is also used to validate the responses of the proposed techniques. The simulation results demonstrate that not only are the proposed methods consistently appropriate to control the complex systems but also they have acceptable responses in order to utilize for system identification.","PeriodicalId":166043,"journal":{"name":"2020 19th International Conference on Mechatronics - Mechatronika (ME)","volume":"BME-34 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132570275","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}
Pub Date : 2020-12-02DOI: 10.1109/ME49197.2020.9286610
V. Starý, L. Gacho
The article deals with the modelling and simulation (M&S) of missile guidance systems and methods, especially the Line-Of-Sight Beam Riding (LOSBR) guidance and passive homing (PH) guidance in WEBOTS robot simulation environment. The major goal is to evaluate general possibilities and aspects of M&S of missile guidance systems, methods and describe the process of implementation and suitability of WEBOTS simulator. The main focus is on the implementation and functionality verification of launcher, missile and target models. Functionality model includes the essential parts of given guidance system, such as laser beam emitter, photo detectors, IR emitter, range finder, optical sensor and other devices for position settings. Simulation results are verified, evaluated and compared with expected behaviour and mathematical models.
{"title":"Modelling and Simulation of Missile Guidance in WEBOTS Simulator Environment","authors":"V. Starý, L. Gacho","doi":"10.1109/ME49197.2020.9286610","DOIUrl":"https://doi.org/10.1109/ME49197.2020.9286610","url":null,"abstract":"The article deals with the modelling and simulation (M&S) of missile guidance systems and methods, especially the Line-Of-Sight Beam Riding (LOSBR) guidance and passive homing (PH) guidance in WEBOTS robot simulation environment. The major goal is to evaluate general possibilities and aspects of M&S of missile guidance systems, methods and describe the process of implementation and suitability of WEBOTS simulator. The main focus is on the implementation and functionality verification of launcher, missile and target models. Functionality model includes the essential parts of given guidance system, such as laser beam emitter, photo detectors, IR emitter, range finder, optical sensor and other devices for position settings. Simulation results are verified, evaluated and compared with expected behaviour and mathematical models.","PeriodicalId":166043,"journal":{"name":"2020 19th International Conference on Mechatronics - Mechatronika (ME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131586835","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}
Pub Date : 2020-12-02DOI: 10.1109/ME49197.2020.9286631
Soeren Scherler, X. Liu-Henke, M. Henke
This paper presents the design of a predictive energy management (pEEM) for an automated electric vehicle with fuel cell range extender in connected traffics systems. An essential task of the pEEM is the optimization of the power supply by a controlled power distribution to battery and fuel cell for the entire journey to minimize energy losses considering restrictions by operating limits or available energy. To solve this optimization problem, a nonlinear model predictive control structure is designed, since it considers the future system behavior on the one hand and is excellently suited for the integration of constraints or restrictions on the other hand. This control structure consists of several model predictive controllers (MPC), which cover different time horizons with different sampling times in a time cascaded structure. This structure reduces the accuracy of time periods far in the future, which are subject to high uncertainty. Furthermore, the computational effort is considerably reduced, so that a realization under real-time conditions is possible. The paper concludes with an exemplary application of power supply that demonstrates the functionality of the pEEM both in simulation and under real-time conditions on a HiL test bench.
{"title":"Predictive Energy Management for an Electric Vehicle with Fuel Cell Range Extender in Connected Traffic Systems","authors":"Soeren Scherler, X. Liu-Henke, M. Henke","doi":"10.1109/ME49197.2020.9286631","DOIUrl":"https://doi.org/10.1109/ME49197.2020.9286631","url":null,"abstract":"This paper presents the design of a predictive energy management (pEEM) for an automated electric vehicle with fuel cell range extender in connected traffics systems. An essential task of the pEEM is the optimization of the power supply by a controlled power distribution to battery and fuel cell for the entire journey to minimize energy losses considering restrictions by operating limits or available energy. To solve this optimization problem, a nonlinear model predictive control structure is designed, since it considers the future system behavior on the one hand and is excellently suited for the integration of constraints or restrictions on the other hand. This control structure consists of several model predictive controllers (MPC), which cover different time horizons with different sampling times in a time cascaded structure. This structure reduces the accuracy of time periods far in the future, which are subject to high uncertainty. Furthermore, the computational effort is considerably reduced, so that a realization under real-time conditions is possible. The paper concludes with an exemplary application of power supply that demonstrates the functionality of the pEEM both in simulation and under real-time conditions on a HiL test bench.","PeriodicalId":166043,"journal":{"name":"2020 19th International Conference on Mechatronics - Mechatronika (ME)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130115552","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}