This article was motivated from a practical work on modeling and control of a time-delayed thermal airflow process using adaptive techniques. The work was divided into two parts: (I) the modeling of the process using system identification methods, with main concerns to the numerical robustness of the identification, and (II) the digital control of the process using adaptive self-tuning control, with main concerns to the adaptation of the controller to changes in the process dynamics. This article concerns the second part of the work. An adaptive self-tuning controller was implemented to improve the performance of the thermal airflow process. At each sampling interval, the process model is updated using an on-line identification strategy developed in the first part of the work. Based on the identification, the controller is self-tuned to compensate for eventual changes in the process parameters. Intentional disturbances were made in the process dynamics in order to evaluate the adaptation performance of the control system.
{"title":"Control of a Thermal Airflow Process - Part II: Adaptive Self-Tuning Control","authors":"Sidney Viana","doi":"10.3895/IJCA.V5N1.5001","DOIUrl":"https://doi.org/10.3895/IJCA.V5N1.5001","url":null,"abstract":"This article was motivated from a practical work on modeling and control of a time-delayed thermal airflow process using adaptive techniques. The work was divided into two parts: (I) the modeling of the process using system identification methods, with main concerns to the numerical robustness of the identification, and (II) the digital control of the process using adaptive self-tuning control, with main concerns to the adaptation of the controller to changes in the process dynamics. This article concerns the second part of the work. An adaptive self-tuning controller was implemented to improve the performance of the thermal airflow process. At each sampling interval, the process model is updated using an on-line identification strategy developed in the first part of the work. Based on the identification, the controller is self-tuned to compensate for eventual changes in the process parameters. Intentional disturbances were made in the process dynamics in order to evaluate the adaptation performance of the control system.","PeriodicalId":346963,"journal":{"name":"Journal of Applied Instrumentation and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125231244","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}
José Jair Alves Mendes Junior, J. H. Neme, M. M. Santos, S. Stevan
In this paper Model Based Design (MBD) is used to simplify the development of three types of visual warning in an automobile. Along the signals the proposed system provides the outputs to send encapsulated signals in an automotive network. The method presented in this paper uses auto code generation to ease the developers work and give engineers experienced in embedded programing a very useful option to avoid expenditure of time often waste in manual programing. The C code generated automatically can be used in several hardware and the methodology presented is helpful in a wide broad of applications.
{"title":"Model and Software in the Loop with Automatic Code Generation for Indicator Lights Warnings","authors":"José Jair Alves Mendes Junior, J. H. Neme, M. M. Santos, S. Stevan","doi":"10.3895/IJCA.V5N1.5541","DOIUrl":"https://doi.org/10.3895/IJCA.V5N1.5541","url":null,"abstract":"In this paper Model Based Design (MBD) is used to simplify the development of three types of visual warning in an automobile. Along the signals the proposed system provides the outputs to send encapsulated signals in an automotive network. The method presented in this paper uses auto code generation to ease the developers work and give engineers experienced in embedded programing a very useful option to avoid expenditure of time often waste in manual programing. The C code generated automatically can be used in several hardware and the methodology presented is helpful in a wide broad of applications. ","PeriodicalId":346963,"journal":{"name":"Journal of Applied Instrumentation and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133347855","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}
This article was motivated from a practical work on modeling and control of a time-delayed thermal airflow process using adaptive techniques. The work was divided into two parts: (I) the modeling of the process using system identification methods, with main concerns to the numerical robustness of the identification, and (II) the digital control of the process using adaptive self-tuning control, with main concerns to the adaptation of the controller to changes in the process dynamics. This article presents the first part of the work. The thermal airflow system was represented by an ARMAX model, whose parameters were identified using the Recursive Least Squares method, based on two approaches: the Matrix Inversion Lemma, and the Bierman’s UD Factorization. The results obtained show that the last approach has greater numerical robustness and is more suitable for applications of adaptive control – the second part of the work, described in a separate article.
{"title":"Control of a Thermal Airflow Process - Part I: System Identification","authors":"Sidney Viana","doi":"10.3895/IJCA.V5N1.5000","DOIUrl":"https://doi.org/10.3895/IJCA.V5N1.5000","url":null,"abstract":"This article was motivated from a practical work on modeling and control of a time-delayed thermal airflow process using adaptive techniques. The work was divided into two parts: (I) the modeling of the process using system identification methods, with main concerns to the numerical robustness of the identification, and (II) the digital control of the process using adaptive self-tuning control, with main concerns to the adaptation of the controller to changes in the process dynamics. This article presents the first part of the work. The thermal airflow system was represented by an ARMAX model, whose parameters were identified using the Recursive Least Squares method, based on two approaches: the Matrix Inversion Lemma, and the Bierman’s UD Factorization. The results obtained show that the last approach has greater numerical robustness and is more suitable for applications of adaptive control – the second part of the work, described in a separate article.","PeriodicalId":346963,"journal":{"name":"Journal of Applied Instrumentation and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128962509","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}
A. C. Cordeiro, F. Marchi, H. Gamba, J. L. Fabris, G. H. Couto, H. Kalinowski, E. Bertogna
Detection and measurement of ultra-weak photon emission (UWPE) from biological samples is a promising tool with potential use in several fields such as agriculture, environmental science, food science and biomedicine. A measurement system especially designed to detect UWPE, and an application in sanitary control of natural water resources is presented here. The system was implemented based on a dark-chamber with a photomultiplier module (PMT) cooled with a microprocessor controlled thermoelectric device coupled. The PMT detects the UWPE from the biological sample under measurement. The performance evaluation of the measuring system in terms of dark-noise and bacteria detection was performed in order to assure that it is able to realize UWPE measurements for the proposed application. The samples under test were comprised of a series of 3 control cultures of standard Escherichia coli strain, used as control, and other 3 water samples collected from a river close to a metropolitan area in Brazil. The comparison between the control and test samples has shown that the proposed application is feasible for Escherichia coli detection tests in water samples from natural water resources to assure the evaluation of their microbiologic quality.
{"title":"Application of an Ultra-Weak Bioluminescence Measurement System for Escherichia coli Detection in Sanitary Control","authors":"A. C. Cordeiro, F. Marchi, H. Gamba, J. L. Fabris, G. H. Couto, H. Kalinowski, E. Bertogna","doi":"10.3895/JAIC.V5N1.5928","DOIUrl":"https://doi.org/10.3895/JAIC.V5N1.5928","url":null,"abstract":"Detection and measurement of ultra-weak photon emission (UWPE) from biological samples is a promising tool with potential use in several fields such as agriculture, environmental science, food science and biomedicine. A measurement system especially designed to detect UWPE, and an application in sanitary control of natural water resources is presented here. The system was implemented based on a dark-chamber with a photomultiplier module (PMT) cooled with a microprocessor controlled thermoelectric device coupled. The PMT detects the UWPE from the biological sample under measurement. The performance evaluation of the measuring system in terms of dark-noise and bacteria detection was performed in order to assure that it is able to realize UWPE measurements for the proposed application. The samples under test were comprised of a series of 3 control cultures of standard Escherichia coli strain, used as control, and other 3 water samples collected from a river close to a metropolitan area in Brazil. The comparison between the control and test samples has shown that the proposed application is feasible for Escherichia coli detection tests in water samples from natural water resources to assure the evaluation of their microbiologic quality.","PeriodicalId":346963,"journal":{"name":"Journal of Applied Instrumentation and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124202409","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}
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