Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606350
B. Hong, Chia-Yu Chou, Tsu-Yu Lin
This paper presents the thermoacoustic engines with internal heating of mean flow and external heat-excitation of acoustic vibration, which have much larger power ratings than conventional types. In the modelling, the conservation of thermoacoustic storage is formulated to figure out engine cycles, capable of quantifying the effects of working gas and working frequency on power ratings, as well as shaping engine chamber adaptable to mechatronic load in power transmission. Moreover, this conservation law can be applied to identify through energy-loss measurement the parametric modelling upon flow leakage at the load end. Meanwhile, with the spatiotemporal transfer-function, the coupling of Rijke chamber dynamics and load dynamics is represented by feedback interconnection, which transforms the overall design into a feedback system. Based on such an internal feedback construction, digital signal processing is implemented to do numerical calculations on engine cycles with different frequencies of excitation.
{"title":"Energy transfer modelling of thermoacoustic engines with boundary resonant control","authors":"B. Hong, Chia-Yu Chou, Tsu-Yu Lin","doi":"10.1109/ASCC.2013.6606350","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606350","url":null,"abstract":"This paper presents the thermoacoustic engines with internal heating of mean flow and external heat-excitation of acoustic vibration, which have much larger power ratings than conventional types. In the modelling, the conservation of thermoacoustic storage is formulated to figure out engine cycles, capable of quantifying the effects of working gas and working frequency on power ratings, as well as shaping engine chamber adaptable to mechatronic load in power transmission. Moreover, this conservation law can be applied to identify through energy-loss measurement the parametric modelling upon flow leakage at the load end. Meanwhile, with the spatiotemporal transfer-function, the coupling of Rijke chamber dynamics and load dynamics is represented by feedback interconnection, which transforms the overall design into a feedback system. Based on such an internal feedback construction, digital signal processing is implemented to do numerical calculations on engine cycles with different frequencies of excitation.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83998068","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 : 2013-06-23DOI: 10.1109/ASCC.2013.6606368
Yu-Lun Huang, Ya-Hsuan Wang
This paper introduces the role of a PCS in a critical infrastructure, and especially addresses the processing flow and control of a water system. By leveraging advanced IT technologies, a modern process control system (PCS) can help monitor and control physical processes in a water system. Conventionally, a water system is composed of a water treatment subsystem and a water distribution subsystem. To provide better water quality and steady water flow, PCSs should be adopted in these subsystems to more precisely control the concentration of chemicals in water and the outlet valve of water tanks. We investigate the security issues and possible attacks in a water system adopting a close-loop control mechanism. Taking the concentration control of chlorine in water as an example, we formally explain how an integrity attack leads a water system into a harmful state by adding improper amount of chlorine into water. In the future, we will further develop a formal model describing a n-tank water system, evaluate the impact of simultaneous more attacks and discuss the potential impacts. We will also try to design a detection and defence system to resist against known attacks.
{"title":"Investigating the security control of a water system: An overview","authors":"Yu-Lun Huang, Ya-Hsuan Wang","doi":"10.1109/ASCC.2013.6606368","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606368","url":null,"abstract":"This paper introduces the role of a PCS in a critical infrastructure, and especially addresses the processing flow and control of a water system. By leveraging advanced IT technologies, a modern process control system (PCS) can help monitor and control physical processes in a water system. Conventionally, a water system is composed of a water treatment subsystem and a water distribution subsystem. To provide better water quality and steady water flow, PCSs should be adopted in these subsystems to more precisely control the concentration of chemicals in water and the outlet valve of water tanks. We investigate the security issues and possible attacks in a water system adopting a close-loop control mechanism. Taking the concentration control of chlorine in water as an example, we formally explain how an integrity attack leads a water system into a harmful state by adding improper amount of chlorine into water. In the future, we will further develop a formal model describing a n-tank water system, evaluate the impact of simultaneous more attacks and discuss the potential impacts. We will also try to design a detection and defence system to resist against known attacks.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82649928","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 : 2013-06-23DOI: 10.1109/ASCC.2013.6606232
A. Farid, S. M. Barakati, N. Seifipour, N. Tayebi
Adaptive neuro-fuzzy inference system (ANFIS) is combining a neural network with a fuzzy system results in a hybrid neuro-fuzzy system, capable of reasoning and learning in an uncertain and imprecise environment. In this paper online training of ANFIS is done using radial basis function (RBF) neural network. In this online approach, identification of controlled plant is done, and based on this identification, the weights and coefficients are adjusted timely. Finally, to overcome initialization problem, using Particle swarm optimization (PSO) as an evolutionary algorithm is proposed.
{"title":"Online ANFIS controller based on RBF identification and PSO","authors":"A. Farid, S. M. Barakati, N. Seifipour, N. Tayebi","doi":"10.1109/ASCC.2013.6606232","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606232","url":null,"abstract":"Adaptive neuro-fuzzy inference system (ANFIS) is combining a neural network with a fuzzy system results in a hybrid neuro-fuzzy system, capable of reasoning and learning in an uncertain and imprecise environment. In this paper online training of ANFIS is done using radial basis function (RBF) neural network. In this online approach, identification of controlled plant is done, and based on this identification, the weights and coefficients are adjusted timely. Finally, to overcome initialization problem, using Particle swarm optimization (PSO) as an evolutionary algorithm is proposed.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88990743","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 : 2013-06-23DOI: 10.1109/ASCC.2013.6606347
A. Tohidi, Ali Shamsaddinlou, A. Khaki‐Sedigh
In this paper, obtaining of maximum active and reactive output power for wind turbines equipped with a double fed induction generator using stator-flux-oriented vector control based on novel multivariable input output linearization sliding mode control presented. The main control problem is the estimation of maximum power operating points of wind turbine under stochastic wind velocity profiles and tracking them using conventional offline and innovative adaptive online method. In this control strategy the wind speed and consequent aerodynamics torque is considered as the disturbance. Results under different operating conditions show the superior performance of the proposed online input-output linearization sliding mode technique.
{"title":"Multivariable input-output linearization sliding mode control of DFIG based wind energy conversion system","authors":"A. Tohidi, Ali Shamsaddinlou, A. Khaki‐Sedigh","doi":"10.1109/ASCC.2013.6606347","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606347","url":null,"abstract":"In this paper, obtaining of maximum active and reactive output power for wind turbines equipped with a double fed induction generator using stator-flux-oriented vector control based on novel multivariable input output linearization sliding mode control presented. The main control problem is the estimation of maximum power operating points of wind turbine under stochastic wind velocity profiles and tracking them using conventional offline and innovative adaptive online method. In this control strategy the wind speed and consequent aerodynamics torque is considered as the disturbance. Results under different operating conditions show the superior performance of the proposed online input-output linearization sliding mode technique.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91514772","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 : 2013-06-23DOI: 10.1109/ASCC.2013.6606027
Wen Ji, Jianhui Wang, Xiaoke Fang, S. Gu
In view of long duration, high costs and expert evaluation value with many extreme points of the Delphi method, using the fuzzy method, this paper proposes an improved Delphi method with weighted factor in order to reduce the influence of subjective factors and shorten the consulting time. Then, it applies the improved Delphi method to simulate in the context of stroke rehabilitation evaluation system. Simulation results show the effectiveness of the proposed method.
{"title":"Improved Delphi method with weighted factor and its application","authors":"Wen Ji, Jianhui Wang, Xiaoke Fang, S. Gu","doi":"10.1109/ASCC.2013.6606027","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606027","url":null,"abstract":"In view of long duration, high costs and expert evaluation value with many extreme points of the Delphi method, using the fuzzy method, this paper proposes an improved Delphi method with weighted factor in order to reduce the influence of subjective factors and shorten the consulting time. Then, it applies the improved Delphi method to simulate in the context of stroke rehabilitation evaluation system. Simulation results show the effectiveness of the proposed method.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90054806","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 : 2013-06-23DOI: 10.1109/ASCC.2013.6606204
G. Wen, Wenwu Yu, Jinde Cao, G. Hu, Guanrong Chen
Distributed consensus control for multi-agent systems with general linear node dynamics and switching balanced directed topologies is addressed in this paper. By using tools from algebraic graph theory and switching systems theory, it is proved that distributed consensus in the closed-loop linear multiagent systems with switching balanced directed topologies can be achieved if, the feedback gain matrix of the protocol is appropriately designed and the coupling strength among neighboring agents is larger than a threshold value. The convergence rate for the achievement of consensus is further discussed. Interestingly, it is found that an arbitrarily given large convergence rate can be guaranteed if each agent is controllable. The proposed results are verified through numerical simulations.
{"title":"Consensus control of switching directed networks with general linear node dynamics","authors":"G. Wen, Wenwu Yu, Jinde Cao, G. Hu, Guanrong Chen","doi":"10.1109/ASCC.2013.6606204","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606204","url":null,"abstract":"Distributed consensus control for multi-agent systems with general linear node dynamics and switching balanced directed topologies is addressed in this paper. By using tools from algebraic graph theory and switching systems theory, it is proved that distributed consensus in the closed-loop linear multiagent systems with switching balanced directed topologies can be achieved if, the feedback gain matrix of the protocol is appropriately designed and the coupling strength among neighboring agents is larger than a threshold value. The convergence rate for the achievement of consensus is further discussed. Interestingly, it is found that an arbitrarily given large convergence rate can be guaranteed if each agent is controllable. The proposed results are verified through numerical simulations.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90060199","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 : 2013-06-23DOI: 10.1109/ASCC.2013.6606104
Xin Liu, Bo Wang, Z. Deng, Shunting Wang, Hua Liu
A new nonlinear initial alignment method was proposed for the rapid alignment of the ship-borne weapon INS with large initial azimuth attitude error under uncertain flexure deformation disturbances. Considering the flexure deformation of certain axis has the severest affection to the angular rate measurement, velocity and partial angular rate were used as the measurements in this method, in which the pitch rate is subtracted from the angular rate measurement. Simulation results show that comparing with the conventional solution, which compensates the flexure deformation by augmenting its model into the alignment filter, the proposed alignment method can accomplish the transfer alignment of a mooring ship's weapon INS with large heading error rapidly and accurately, and it is more reliable in the situation of flexure deformation uncertainty.
{"title":"Rapid alignment method of INS with large initial azimuth error under uncertain flexure disturbances","authors":"Xin Liu, Bo Wang, Z. Deng, Shunting Wang, Hua Liu","doi":"10.1109/ASCC.2013.6606104","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606104","url":null,"abstract":"A new nonlinear initial alignment method was proposed for the rapid alignment of the ship-borne weapon INS with large initial azimuth attitude error under uncertain flexure deformation disturbances. Considering the flexure deformation of certain axis has the severest affection to the angular rate measurement, velocity and partial angular rate were used as the measurements in this method, in which the pitch rate is subtracted from the angular rate measurement. Simulation results show that comparing with the conventional solution, which compensates the flexure deformation by augmenting its model into the alignment filter, the proposed alignment method can accomplish the transfer alignment of a mooring ship's weapon INS with large heading error rapidly and accurately, and it is more reliable in the situation of flexure deformation uncertainty.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88819362","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 : 2013-06-23DOI: 10.1109/ASCC.2013.6606290
Abdel Rodríguez, Peter Vrancx, A. Nowé, E. Hostens
In this paper we introduce a reinforcement learning approach to optimize the wire profile generated by an automated wire winding machine. The wire winder spools wire onto large bobbins, while trying to maintain an even wire profile across the bobbin. Uneven profiles that contain bumps or gaps (i.e. areas with too much or too little wire) lead to snagged or breaking wires when the bobbin is unwound. By setting the turning points of the traversal system which distributes the wire over a spinning bobbin, a controller can influence the amount of wire spooled on the edges of the bobbin. The behavior of the wire, however, is highly non-deterministic and difficult to model with sufficient accuracy, making the application of a model based controller technique very difficult. This fact makes reinforcement learning a promising approach to apply here, as this technique can learn optimal policies relying only on interactions with the plant. We apply a learning algorithm called continuous reinforcement learning automata and empirically demonstrate that this technique can successfully optimize the wire profile, even on rounded bobbins that require continuous adaptation of the turning point.
{"title":"Model-free learning of wire winding control","authors":"Abdel Rodríguez, Peter Vrancx, A. Nowé, E. Hostens","doi":"10.1109/ASCC.2013.6606290","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606290","url":null,"abstract":"In this paper we introduce a reinforcement learning approach to optimize the wire profile generated by an automated wire winding machine. The wire winder spools wire onto large bobbins, while trying to maintain an even wire profile across the bobbin. Uneven profiles that contain bumps or gaps (i.e. areas with too much or too little wire) lead to snagged or breaking wires when the bobbin is unwound. By setting the turning points of the traversal system which distributes the wire over a spinning bobbin, a controller can influence the amount of wire spooled on the edges of the bobbin. The behavior of the wire, however, is highly non-deterministic and difficult to model with sufficient accuracy, making the application of a model based controller technique very difficult. This fact makes reinforcement learning a promising approach to apply here, as this technique can learn optimal policies relying only on interactions with the plant. We apply a learning algorithm called continuous reinforcement learning automata and empirically demonstrate that this technique can successfully optimize the wire profile, even on rounded bobbins that require continuous adaptation of the turning point.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88937071","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 : 2013-06-23DOI: 10.1109/ASCC.2013.6606235
R. Wai, Rajkumar Muthusamy
This study presents the design and analysis of an intelligent control system that inherits the robust properties of sliding-mode control (SMC) for an n-link robot manipulator including actuator dynamics in order to achieve a high-precision position tracking with a firm robustness. First, the coupled higher-order dynamic model of an n-link robot manipulator is introduced briefly. Then, a conventional SMC scheme is developed for the joint position tracking of the robot manipulator. Moreover, a fuzzy-neural-network inherited SMC (FNNISMC) scheme is proposed to relax the requirement of detailed system information and deal with chattering control efforts in the SMC system. In the FNNISMC strategy, the FNN framework is designed to mimic the SMC law, and adaptive tuning algorithms for network parameters are derived in the sense of projection algorithm and Lyapunov stability theorem to ensure the network convergence as well as stable control performance. Numerical simulations of a two-link robot manipulator actuated by DC servo motors are provided to justify the claims of the proposed FNNISMC system, and the superiority of the proposed FNNISMC scheme is also evaluated by quantitative comparison with previous intelligent control schemes.
{"title":"Fuzzy-neural-network control for robot manipulator via sliding-mode design","authors":"R. Wai, Rajkumar Muthusamy","doi":"10.1109/ASCC.2013.6606235","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606235","url":null,"abstract":"This study presents the design and analysis of an intelligent control system that inherits the robust properties of sliding-mode control (SMC) for an n-link robot manipulator including actuator dynamics in order to achieve a high-precision position tracking with a firm robustness. First, the coupled higher-order dynamic model of an n-link robot manipulator is introduced briefly. Then, a conventional SMC scheme is developed for the joint position tracking of the robot manipulator. Moreover, a fuzzy-neural-network inherited SMC (FNNISMC) scheme is proposed to relax the requirement of detailed system information and deal with chattering control efforts in the SMC system. In the FNNISMC strategy, the FNN framework is designed to mimic the SMC law, and adaptive tuning algorithms for network parameters are derived in the sense of projection algorithm and Lyapunov stability theorem to ensure the network convergence as well as stable control performance. Numerical simulations of a two-link robot manipulator actuated by DC servo motors are provided to justify the claims of the proposed FNNISMC system, and the superiority of the proposed FNNISMC scheme is also evaluated by quantitative comparison with previous intelligent control schemes.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83073520","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 : 2013-06-23DOI: 10.1109/ASCC.2013.6606143
T. Ishihara, Hai-Jiao Guo
This paper discusses an application of the classical loop transfer recovery technique to the design of the optimal disturbance cancellation controller for the sinusoidal output disturbance with known frequency. The optimal output feedback controller is constructed based on the separation principle. The target of the design is chosen as the estimation error dynamics including the internal model for the sinusoidal disturbance. It is shown that the target feedback property can be recovered by using the weighting parameter in the performance index. A numerical example is presented to illustrate the effectiveness of the proposed design.
{"title":"Design of optimal disturbance cancellation controllers for sinusoidal output disturbances via loop transfer recovery","authors":"T. Ishihara, Hai-Jiao Guo","doi":"10.1109/ASCC.2013.6606143","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606143","url":null,"abstract":"This paper discusses an application of the classical loop transfer recovery technique to the design of the optimal disturbance cancellation controller for the sinusoidal output disturbance with known frequency. The optimal output feedback controller is constructed based on the separation principle. The target of the design is chosen as the estimation error dynamics including the internal model for the sinusoidal disturbance. It is shown that the target feedback property can be recovered by using the weighting parameter in the performance index. A numerical example is presented to illustrate the effectiveness of the proposed design.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89384806","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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