Pub Date : 2010-01-07DOI: 10.1504/IJAAC.2010.030808
Qinghui Wu
This paper focuses on the development of a stator flux and torque decoupling mechanism based on artificial neural network (ANN) inverse system for induction motor (IM). Firstly, the existence of the inverse system is approved by inverse system theory. However, the analytic inverse model is hardly applied in the engineering fields because it is excessively depends on the IM parameters. Therefore, the method of synthesising neuro-network and analytic function is suggested in this paper, and an ANN-based inverse decoupling control scheme is constructed in order to eliminate the coupling between stator flux and torque. To accelerate the convergence speed of neuro-network and enhance its generalisation ability, the non-linear operations are realised by the analytic operation method and the corresponding results act as the inputs of network. In addition, simulation results are provided to validate the effectiveness of the proposed scheme.
{"title":"Neural network inverse decoupling control of stator flux and torque for induction motor drives","authors":"Qinghui Wu","doi":"10.1504/IJAAC.2010.030808","DOIUrl":"https://doi.org/10.1504/IJAAC.2010.030808","url":null,"abstract":"This paper focuses on the development of a stator flux and torque decoupling mechanism based on artificial neural network (ANN) inverse system for induction motor (IM). Firstly, the existence of the inverse system is approved by inverse system theory. However, the analytic inverse model is hardly applied in the engineering fields because it is excessively depends on the IM parameters. Therefore, the method of synthesising neuro-network and analytic function is suggested in this paper, and an ANN-based inverse decoupling control scheme is constructed in order to eliminate the coupling between stator flux and torque. To accelerate the convergence speed of neuro-network and enhance its generalisation ability, the non-linear operations are realised by the analytic operation method and the corresponding results act as the inputs of network. In addition, simulation results are provided to validate the effectiveness of the proposed scheme.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"4 1","pages":"147-157"},"PeriodicalIF":1.2,"publicationDate":"2010-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJAAC.2010.030808","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763332","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 : 2008-12-23DOI: 10.1504/IJAAC.2008.022180
M. Negnevitsky
In emergency and abnormal conditions, a power system operator has to deal with a large amount of data and apply most appropriate remedial actions. However, due to emotional and psychological stress, an operator may not be able to adequately respond to critical conditions and make correct decisions. Mistakes can damage very expensive power system equipment or worse lead to major emergencies and catastrophic situations. Intelligent systems can play an advisory role suggesting the necessary actions, which should be taken to deal with a given emergency or abnormal condition as well as identifying failures of protection systems and circuit breakers. This paper outlines some experience obtained at the School of Engineering of the University of Tasmania in developing intelligent systems for power systems security. An expert system for clearing overloads applies the network sensitivity factors to determine appropriate actions, which include generation rescheduling, network reconfiguration and load shedding. An expert system for voltage control is developed and used for detecting voltage violations and providing a set of effective control actions to solve voltage problems in real-time. An artificial neural network is used to identify multiple failures of protection relays and circuit breakers. This system uses information received from protection systems in the form of alarms and is able to deal with incomplete and distorted data.
{"title":"Computational intelligence applications to crisis management in power systems","authors":"M. Negnevitsky","doi":"10.1504/IJAAC.2008.022180","DOIUrl":"https://doi.org/10.1504/IJAAC.2008.022180","url":null,"abstract":"In emergency and abnormal conditions, a power system operator has to deal with a large amount of data and apply most appropriate remedial actions. However, due to emotional and psychological stress, an operator may not be able to adequately respond to critical conditions and make correct decisions. Mistakes can damage very expensive power system equipment or worse lead to major emergencies and catastrophic situations. Intelligent systems can play an advisory role suggesting the necessary actions, which should be taken to deal with a given emergency or abnormal condition as well as identifying failures of protection systems and circuit breakers. This paper outlines some experience obtained at the School of Engineering of the University of Tasmania in developing intelligent systems for power systems security. An expert system for clearing overloads applies the network sensitivity factors to determine appropriate actions, which include generation rescheduling, network reconfiguration and load shedding. An expert system for voltage control is developed and used for detecting voltage violations and providing a set of effective control actions to solve voltage problems in real-time. An artificial neural network is used to identify multiple failures of protection relays and circuit breakers. This system uses information received from protection systems in the form of alarms and is able to deal with incomplete and distorted data.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"93 1","pages":"476-501"},"PeriodicalIF":1.2,"publicationDate":"2008-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86320168","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 : 2008-09-25DOI: 10.1504/IJAAC.2008.020421
J. Vörös
This paper deals with the recursive identification of time-varying Wiener systems with polynomial non-linearities. A special form of Wiener model is considered, which is linear-in-parameters. The proposed algorithm is a direct application of the known recursive least squares method extended with the estimation of internal variable values. An illustrative example is included.
{"title":"Recursive identification of time-varying Wiener systems with polynomial non-linearities","authors":"J. Vörös","doi":"10.1504/IJAAC.2008.020421","DOIUrl":"https://doi.org/10.1504/IJAAC.2008.020421","url":null,"abstract":"This paper deals with the recursive identification of time-varying Wiener systems with polynomial non-linearities. A special form of Wiener model is considered, which is linear-in-parameters. The proposed algorithm is a direct application of the known recursive least squares method extended with the estimation of internal variable values. An illustrative example is included.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"2 1","pages":"90-98"},"PeriodicalIF":1.2,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJAAC.2008.020421","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763321","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 : 2007-11-26DOI: 10.1504/IJAAC.2007.015844
G. SaravanaKumar, R. Wahidabanu
Adaptive control which adequately adjusts controller gains according to the changes in plants, has become attractive in recent years. The controller proposed in this paper is tuned automatically with various tuning formulas based on the results of frequency domain system identification for the plant. The controller first estimates the frequency response of the plant using FFT. The controller gains are automatically tuned so as to minimise the error between the open loop frequency response of the reference model and that of the actual system at a few frequency points. For the three example processes, reference models are derived. The frequency responses of the reference models and that of the actual processes are obtained. The controller gains are determined by applying the least squares algorithm. The responses of the plants are verified in time domain and frequency domain after tuning the I-PD controller.
{"title":"Frequency domain-based auto tuning controller for plants with uncertainties using well known tuning formulas","authors":"G. SaravanaKumar, R. Wahidabanu","doi":"10.1504/IJAAC.2007.015844","DOIUrl":"https://doi.org/10.1504/IJAAC.2007.015844","url":null,"abstract":"Adaptive control which adequately adjusts controller gains according to the changes in plants, has become attractive in recent years. The controller proposed in this paper is tuned automatically with various tuning formulas based on the results of frequency domain system identification for the plant. The controller first estimates the frequency response of the plant using FFT. The controller gains are automatically tuned so as to minimise the error between the open loop frequency response of the reference model and that of the actual system at a few frequency points. For the three example processes, reference models are derived. The frequency responses of the reference models and that of the actual processes are obtained. The controller gains are determined by applying the least squares algorithm. The responses of the plants are verified in time domain and frequency domain after tuning the I-PD controller.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"1 1","pages":"284-294"},"PeriodicalIF":1.2,"publicationDate":"2007-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJAAC.2007.015844","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763261","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 : 2007-11-26DOI: 10.1504/IJAAC.2007.015846
S. Parasuraman, V. Ganapathy, B. Shirinzadeh
A common problem in robot navigation is behaviour rule selection when more than one action of the same type is available. Here action selection or decision-making procedure incorporating α-level fuzzy logic is discussed and used for selecting an appropriate action during mobile robot navigation. In the present approach, the operational strategies of the human expert driver are transferred via fuzzy logic to the robot navigation in the form of optimising behaviour rules without decreasing the input space and resolved the conflicts similar to human thinking. This paper presents the mathematical aspects of resolving conflicts when more than one context rule of the same kind is in action. Simulation results are presented based on the real life situation. The techniques presented in this paper are validated by conducting real world experiments using Khepera miniature Robot.
{"title":"Stable antiswing PD control for overhead crane systems with velocity estimation and uncertainties compensation","authors":"S. Parasuraman, V. Ganapathy, B. Shirinzadeh","doi":"10.1504/IJAAC.2007.015846","DOIUrl":"https://doi.org/10.1504/IJAAC.2007.015846","url":null,"abstract":"A common problem in robot navigation is behaviour rule selection when more than one action of the same type is available. Here action selection or decision-making procedure incorporating α-level fuzzy logic is discussed and used for selecting an appropriate action during mobile robot navigation. In the present approach, the operational strategies of the human expert driver are transferred via fuzzy logic to the robot navigation in the form of optimising behaviour rules without decreasing the input space and resolved the conflicts similar to human thinking. This paper presents the mathematical aspects of resolving conflicts when more than one context rule of the same kind is in action. Simulation results are presented based on the real life situation. The techniques presented in this paper are validated by conducting real world experiments using Khepera miniature Robot.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"1 1","pages":"342-357"},"PeriodicalIF":1.2,"publicationDate":"2007-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJAAC.2007.015846","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763270","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 : 1900-01-01DOI: 10.1504/ijaac.2023.10053904
H. Hendy, Y. Elhalwagy, S. Shelan, M. Abozied
{"title":"Design and implementation of FPGA based integrated missile actuation system and control synthesis","authors":"H. Hendy, Y. Elhalwagy, S. Shelan, M. Abozied","doi":"10.1504/ijaac.2023.10053904","DOIUrl":"https://doi.org/10.1504/ijaac.2023.10053904","url":null,"abstract":"","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763666","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 : 1900-01-01DOI: 10.1504/ijaac.2024.10055534
V. Patel, Dipayan Guha, S. Purwar
{"title":"Frequency Regulation of Time-delayed Power System utilizing Nonlinear Resilient Controller","authors":"V. Patel, Dipayan Guha, S. Purwar","doi":"10.1504/ijaac.2024.10055534","DOIUrl":"https://doi.org/10.1504/ijaac.2024.10055534","url":null,"abstract":"","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763726","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 : 1900-01-01DOI: 10.1504/ijaac.2024.10056819
Shuanglin Li, Shuai Deng, Wei Shi
{"title":"An improved information entropy for the integrated emergency-defense system capability evaluation","authors":"Shuanglin Li, Shuai Deng, Wei Shi","doi":"10.1504/ijaac.2024.10056819","DOIUrl":"https://doi.org/10.1504/ijaac.2024.10056819","url":null,"abstract":"","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763851","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 : 1900-01-01DOI: 10.1504/ijaac.2024.10054838
Xie Wei, Akwasi Amoh Mensah, Duku Otuo Acheampong
{"title":"Observer Controller-Based for Modified Flower Pollination Algorithm for Wind Power Generation","authors":"Xie Wei, Akwasi Amoh Mensah, Duku Otuo Acheampong","doi":"10.1504/ijaac.2024.10054838","DOIUrl":"https://doi.org/10.1504/ijaac.2024.10054838","url":null,"abstract":"","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66764070","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 : 1900-01-01DOI: 10.1504/ijaac.2024.10055581
R. K. Barai, S. Thakur
{"title":"Sliding mode control of Two-link Flexible Manipulator for reduced vibration in the presence of unmatched uncertainty and time-varying external disturbance","authors":"R. K. Barai, S. Thakur","doi":"10.1504/ijaac.2024.10055581","DOIUrl":"https://doi.org/10.1504/ijaac.2024.10055581","url":null,"abstract":"","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763774","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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