S. Ozana, F. Krupa, J. Nemcik, G. Takács, J. Możaryn, P. Beremlijski, A. Singh, Aleksandra Kawala-Sterniuk
{"title":"Design and Implementation of Adaptive NMPC in industrial applications: case study","authors":"S. Ozana, F. Krupa, J. Nemcik, G. Takács, J. Możaryn, P. Beremlijski, A. Singh, Aleksandra Kawala-Sterniuk","doi":"10.1109/ICCC54292.2022.9805970","DOIUrl":"https://doi.org/10.1109/ICCC54292.2022.9805970","url":null,"abstract":"This paper deals with the design and implementation of adaptive nonlinear predictive control (NMPC). The resulting control system is deployed on a softPLC embedded target in real-time via the REXYGEN control system. The paper describes functional prototype using softPLC hosting the NMPC algorithm applied for a nonlinear system consisting of three coupled tanks. The NMPC algorithm is solved via the receding horizon control method (RHC), formulated as a nonlinear programming problem (NLP) and numerically computed using the SOLNP solver. The adaptivity is provided by online identification via moving horizon estimation (MHE), keeping the model updated to avoid a model-plant mismatch. The methodology described in this paper can be easily transferred to a wider group of industrial nonlinear processes. Such created control unit can run in a standalone mode or can be connected to some exiting control system providing a necessary computational power and thus upgrading the quality of control significantly.","PeriodicalId":167963,"journal":{"name":"2022 23rd International Carpathian Control Conference (ICCC)","volume":"7 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132330215","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}
{"title":"Remote or Virtual Laboratory for HIL (Hardware-In-the-Loop) Testing Education","authors":"B. Scherer","doi":"10.1109/iccc54292.2022.9805976","DOIUrl":"https://doi.org/10.1109/iccc54292.2022.9805976","url":null,"abstract":"Due to the COVID-19 pandemic the education has to be undertaken virtually on digital platforms in Hungary and many other countries. This presented new challenges to our department at the Budapest University of Technology and Economics. Our education and primary its laboratory part was very hardware focused. This paper introduces our solution for educating model based embedded system development and HIL (Hardware-In-the-Loop) testing in a remote or virtual laboratory environment. The laboratory uses a racing car simulator as a platform. Using the measurements data gathered from the racing car simulator the students can create their own control algorithms (like speed controller, or automated steering) and modify the behavior of the car. The laboratory can be configured to a virtual setup, where just simulations, and models are used, or it also can be configured to a remote setup, where real hardware-s is used through a VNC interface based virtual desktop access.","PeriodicalId":167963,"journal":{"name":"2022 23rd International Carpathian Control Conference (ICCC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124341471","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}
{"title":"Model Predictive Control for Hydroelectric Power Plant Reservoirs","authors":"S. Zanoli, C. Pepe, G. Astolfi, F. Luzi","doi":"10.1109/iccc54292.2022.9805881","DOIUrl":"https://doi.org/10.1109/iccc54292.2022.9805881","url":null,"abstract":"The present work describes a project aimed to the optimization of the water management within the reservoirs of a hydroelectric plant located in Italy. The considered reservoirs feed a set of turbines for energy production. The nature of the process and the availability of forecasts on water requests by the hydroelectric plant motivated the choice of a Model Predictive Control strategy. A first principle linear model with time delays has been adopted for the process modellization; the relationship between the sensor level information and reservoir water volume has been suitably identified from data. A tailored strategy for taking into account unknown water flows has been developed. The MPC strategy has been designed based on the obtained linear model and on assigned control specifications. In particular, special attention has been given not to waste water and at the same time to guarantee a prompt reaction to possible variation of the electric energy production plan. The reliability of the proposed approach has been tested through tailored simulation experiments, taking into account different significant scenarios. The developed proprietary framework has been installed on the real plant, confirming the validity of the designed control strategies.","PeriodicalId":167963,"journal":{"name":"2022 23rd International Carpathian Control Conference (ICCC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129158904","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}
Siman-Chereches Christian, Gota Dan, Fanca Alexandra, Popa Adela, Stan Ovidiu, Valean Honoriu, Miclea Liviu
{"title":"Hand Gesture Recognition and Infrared Information System","authors":"Siman-Chereches Christian, Gota Dan, Fanca Alexandra, Popa Adela, Stan Ovidiu, Valean Honoriu, Miclea Liviu","doi":"10.1109/ICCC54292.2022.9805963","DOIUrl":"https://doi.org/10.1109/ICCC54292.2022.9805963","url":null,"abstract":"The discontinuation of remote controls and physical switches in favor of gestures could improve user experience in entertainment and hospitals but can also be potentially beneficial for people with impaired cognitive function or physical disabilities. This paper investigates a method of controlling infrared capable devices using hand gestures.IR signals from any controller device are captured by a receiver and mapped to a hand gesture for reference. A camera is used to capture a video stream which is then processed for hand detection. On a positive result, the detection is stopped and a tracking algorithm is applied. This maps the position of each joint of the hand and recognizes any predefined gestures. Thereafter IR signals are broadcasted using an emitter based on the recognized gesture and signal reference.","PeriodicalId":167963,"journal":{"name":"2022 23rd International Carpathian Control Conference (ICCC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116764921","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}