Pub Date : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356763
A. Ghafari, A. Ghanbari, S. Kamanzadeh, K. Abbasian, H. Saghir
This paper introduces a novel approach for measuring low pressures based on MEMS technology. In this technique the mechanism of squeeze film damping is used. A voltage is applied to a fixed-fixed MEMS beam and its step response is obtained; for each pressure there is a different response. Then the settling time is measured and we can relate each settling time with a defined pressure. Here, first we use some equations to relate pressure with the squeeze film damping effect; after that we use a micro beam model and relate its parameters with pressure. Then we use numerical analysis and simulation to show the procedure of pressure measuring. All simulation results are shown and discussed.
{"title":"Developing a new pressure measurement mechanism based on squeeze film damping effect","authors":"A. Ghafari, A. Ghanbari, S. Kamanzadeh, K. Abbasian, H. Saghir","doi":"10.1109/ICCIAUTOM.2011.6356763","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356763","url":null,"abstract":"This paper introduces a novel approach for measuring low pressures based on MEMS technology. In this technique the mechanism of squeeze film damping is used. A voltage is applied to a fixed-fixed MEMS beam and its step response is obtained; for each pressure there is a different response. Then the settling time is measured and we can relate each settling time with a defined pressure. Here, first we use some equations to relate pressure with the squeeze film damping effect; after that we use a micro beam model and relate its parameters with pressure. Then we use numerical analysis and simulation to show the procedure of pressure measuring. All simulation results are shown and discussed.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129289465","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356671
M. Farahani, S. Ganjefar, M. Alizadeh
This paper presents an adaptive self-tuning PID controller based on the Lyapunov method. To tune the gains of PID controller, a self-tuning algorithm derived by the Lyapunov method is employed. Hence, the control error converges to zero and the stability of the controlled system is guaranteed. To accommodate the controller, the wavelet neural network (WNN) is used. The simulation results are used to demonstrate the effectiveness of designed controller. With the proposed controller, the controlled system possesses the advantages of good tracking control performance and robustness to unknown process.
{"title":"A self-tuning PID design based on wavelet neural network using Lyapunov method","authors":"M. Farahani, S. Ganjefar, M. Alizadeh","doi":"10.1109/ICCIAUTOM.2011.6356671","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356671","url":null,"abstract":"This paper presents an adaptive self-tuning PID controller based on the Lyapunov method. To tune the gains of PID controller, a self-tuning algorithm derived by the Lyapunov method is employed. Hence, the control error converges to zero and the stability of the controlled system is guaranteed. To accommodate the controller, the wavelet neural network (WNN) is used. The simulation results are used to demonstrate the effectiveness of designed controller. With the proposed controller, the controlled system possesses the advantages of good tracking control performance and robustness to unknown process.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130328273","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356767
S. Shekastehband, M. H. Yektaie, M. Dezfouli
The greatest challenge in senseor networks is the constraint on energy. Therefore, how to minimize the energy consumption while maintaining an extended network lifetime becomes the most critical issue when it comes to the design of the mobile base station for the wireless sensor networks. Sensor nodes nearby to the sink disperse large amount of data to the sink with less energy consumption while the nodes far away from the sink require more energy to do the same. A key advantage of incorporating mobile sinks into the design of a sensor network is that it may enable the gathering of timely information from remote deployments and may also potentially improve energy efficiency. The best position to locate the sink is determined at begining of each round and then sink move to based onrandom waypoint model.
{"title":"A new routing algorithm in cluster-based wireless sensor networks with mobile sinks","authors":"S. Shekastehband, M. H. Yektaie, M. Dezfouli","doi":"10.1109/ICCIAUTOM.2011.6356767","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356767","url":null,"abstract":"The greatest challenge in senseor networks is the constraint on energy. Therefore, how to minimize the energy consumption while maintaining an extended network lifetime becomes the most critical issue when it comes to the design of the mobile base station for the wireless sensor networks. Sensor nodes nearby to the sink disperse large amount of data to the sink with less energy consumption while the nodes far away from the sink require more energy to do the same. A key advantage of incorporating mobile sinks into the design of a sensor network is that it may enable the gathering of timely information from remote deployments and may also potentially improve energy efficiency. The best position to locate the sink is determined at begining of each round and then sink move to based onrandom waypoint model.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131084045","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356657
P. Kharazmi, A. Safavi
In this paper, a novel method of wave-net modeling for motorway traffic system is proposed. Due to the highly nonlinear behavior of the traffic system, and the capabilities of wave-nets in multi-resolution analysis and nonlinear function approximation, the use of the wave-net as a modeling tool for traffic system seems to be very promising. We have also utilized the principle component analysis technique to process the inputs of the network, in order to reduce the network dimension while preserving its accuracy. Because of the time varying nature of the traffic system, the need of an algorithm for updating the model is vital in order to guarantee the performance of the system and the control strategies. Hence, in this work we have used online L2 learning algorithms to update the model. Simulation results, which are based on the real traffic data, demonstrate the increased efficiency of the online model compared to the offline model without update.
{"title":"A novel online wave-net based model for motorway traffic modeling","authors":"P. Kharazmi, A. Safavi","doi":"10.1109/ICCIAUTOM.2011.6356657","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356657","url":null,"abstract":"In this paper, a novel method of wave-net modeling for motorway traffic system is proposed. Due to the highly nonlinear behavior of the traffic system, and the capabilities of wave-nets in multi-resolution analysis and nonlinear function approximation, the use of the wave-net as a modeling tool for traffic system seems to be very promising. We have also utilized the principle component analysis technique to process the inputs of the network, in order to reduce the network dimension while preserving its accuracy. Because of the time varying nature of the traffic system, the need of an algorithm for updating the model is vital in order to guarantee the performance of the system and the control strategies. Hence, in this work we have used online L2 learning algorithms to update the model. Simulation results, which are based on the real traffic data, demonstrate the increased efficiency of the online model compared to the offline model without update.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130392782","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356635
H. Asgari, Xiaoqi Chen, R. Sainudiin
Modelling and control of gas turbines (GTs) have always been a controversial issue because of the complex dynamics of these kinds of equipment. Considerable research activities have been carried out so far in this field in order to disclose the secrets behind the nonlinear behaviour of these systems. Although the results of the research in this area have been satisfactory so far, it seems that there is no end to the efforts for performance optimization of gas turbines. A variety of analytical and experimental models as well as control systems has been built so far for gas turbines. However, the need for optimized models for different objectives and applications has been a strong motivation for researchers to continue to work in this field. This paper is aimed at presenting a general overview of essential basic criteria that need to be considered for making a satisfactory model and control system of a gas turbine. GT type, GT configuration, modelling methods, modelling objectives as well as control system type and configuration are the main preliminary factors for modelling a gas turbine which will be briefly discussed in the paper. Some of the research in this field will be also stated shortly.
{"title":"Considerations in modelling and control of gas turbines — A review","authors":"H. Asgari, Xiaoqi Chen, R. Sainudiin","doi":"10.1109/ICCIAUTOM.2011.6356635","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356635","url":null,"abstract":"Modelling and control of gas turbines (GTs) have always been a controversial issue because of the complex dynamics of these kinds of equipment. Considerable research activities have been carried out so far in this field in order to disclose the secrets behind the nonlinear behaviour of these systems. Although the results of the research in this area have been satisfactory so far, it seems that there is no end to the efforts for performance optimization of gas turbines. A variety of analytical and experimental models as well as control systems has been built so far for gas turbines. However, the need for optimized models for different objectives and applications has been a strong motivation for researchers to continue to work in this field. This paper is aimed at presenting a general overview of essential basic criteria that need to be considered for making a satisfactory model and control system of a gas turbine. GT type, GT configuration, modelling methods, modelling objectives as well as control system type and configuration are the main preliminary factors for modelling a gas turbine which will be briefly discussed in the paper. Some of the research in this field will be also stated shortly.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131082872","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356826
M. Shahiri, A. R. Noey, Reza Ghaderi, Mohammad Reza Karami
An exact knowledge of delay is crucial to control and synchronize a time-delayed system. In this paper, a least square based so-called Vector Fitting method is developed to identify parameters of a time-delayed system. The Vector Fitting (V.F.) algorithm efficiently directs evolution of parameters of a model towards their optimal values, iteratively. During each iteration poles of the model are calculated and replaced as starting poles for the next generation. The proposed algorithm is then combined with a heuristic optimization method, i.e. Particle Swarm Optimization (PSO) to provide a hybrid technique, leading to identify delay time (r) of the system. The hybrid algorithm works in two stages; primarily the delay parameter is estimated using particle swarm optimization. The Vector fitting algorithm identifies the remaining parameters in the second stage. These two stages will be performed iteratively until the termination criterion is reached. Illustrative cases especially in presence of white noisy data are given to show the validity and the significance of the proposed method.
{"title":"A hybrid particle swarm optimization and vector fitting based identification algorithm in a time-delayed systems","authors":"M. Shahiri, A. R. Noey, Reza Ghaderi, Mohammad Reza Karami","doi":"10.1109/ICCIAUTOM.2011.6356826","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356826","url":null,"abstract":"An exact knowledge of delay is crucial to control and synchronize a time-delayed system. In this paper, a least square based so-called Vector Fitting method is developed to identify parameters of a time-delayed system. The Vector Fitting (V.F.) algorithm efficiently directs evolution of parameters of a model towards their optimal values, iteratively. During each iteration poles of the model are calculated and replaced as starting poles for the next generation. The proposed algorithm is then combined with a heuristic optimization method, i.e. Particle Swarm Optimization (PSO) to provide a hybrid technique, leading to identify delay time (r) of the system. The hybrid algorithm works in two stages; primarily the delay parameter is estimated using particle swarm optimization. The Vector fitting algorithm identifies the remaining parameters in the second stage. These two stages will be performed iteratively until the termination criterion is reached. Illustrative cases especially in presence of white noisy data are given to show the validity and the significance of the proposed method.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125881272","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356709
P. Hajiani, J. Poshtan
While most research attention has been focused on fault detection and diagnosis, much less research effort has been devoted to failure accommodation. In this paper an active model based fault tolerant control system in case of major actuators failure is designed for a four-tank system benchmark and is simulated with the nonlinear model using Matlab. The four-tank system is regarded as a valuable experimental setup for investigating nonlinear multivariable feedback control as well as fault diagnosis. The faults are actuator faults that are modeled as a fall in actuators (pumps) gains which could lead to a large loss in the nominal performance. The fault tolerant controller is using an online parameter estimator as an FDD subsystem and an adaptive eigenstructure assignment state feedback controller as a reconfigurable controller. Simulation results are shown and compared with a non-fault-tolerant controller. The simulation results show promising performance increase due to the designed controller.
{"title":"Fault-tolerant tracking control for a four-tank system benchmark via eigenstructure assignment and parameter estimation","authors":"P. Hajiani, J. Poshtan","doi":"10.1109/ICCIAUTOM.2011.6356709","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356709","url":null,"abstract":"While most research attention has been focused on fault detection and diagnosis, much less research effort has been devoted to failure accommodation. In this paper an active model based fault tolerant control system in case of major actuators failure is designed for a four-tank system benchmark and is simulated with the nonlinear model using Matlab. The four-tank system is regarded as a valuable experimental setup for investigating nonlinear multivariable feedback control as well as fault diagnosis. The faults are actuator faults that are modeled as a fall in actuators (pumps) gains which could lead to a large loss in the nominal performance. The fault tolerant controller is using an online parameter estimator as an FDD subsystem and an adaptive eigenstructure assignment state feedback controller as a reconfigurable controller. Simulation results are shown and compared with a non-fault-tolerant controller. The simulation results show promising performance increase due to the designed controller.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126270052","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356743
M. Kabganian, R. Nadafi, Y. Tamhidi, Mostafa Bagheri
A novel simulator of satellite ADCS (Attitude Determination and Control System) was designed in the system dynamics and control research laboratory of Amirkabir University of Technology. Currently industrial models of ADCS are using air bearings to make the system suspended. A prototype was designed with ball bearings and three gimbals to provide three rotational DOFs. We believe that the advantages of our method are that is cost efficiency, improved the accuracy and performance; however, the model uses a high level algorithm for friction compensation. The attitude accuracy of the system is nearly 5 degrees. The goal of this project is tracking and control of the ADCS in conditions in which the friction torque of the ball bearings in gimbals has been compensated. The controller that was implemented in this system uses a nonlinear model based on adaptive control. First, feedback linearization is used to cancel the nonlinearities which then was modified by an adaptive control using a Lyapunov function to estimate the uncertainties such as moments of inertia, eccentricity of the center of mass, and friction. The friction model includes Stribeck, viscous, and Coulumb terms. High level estimators and identifiers are used for estimation and identification of friction model parameters. Finally, the controllers were validated by simulation results.
{"title":"A novel mechanical attitude simulator with adaptive control for micro-satellite","authors":"M. Kabganian, R. Nadafi, Y. Tamhidi, Mostafa Bagheri","doi":"10.1109/ICCIAUTOM.2011.6356743","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356743","url":null,"abstract":"A novel simulator of satellite ADCS (Attitude Determination and Control System) was designed in the system dynamics and control research laboratory of Amirkabir University of Technology. Currently industrial models of ADCS are using air bearings to make the system suspended. A prototype was designed with ball bearings and three gimbals to provide three rotational DOFs. We believe that the advantages of our method are that is cost efficiency, improved the accuracy and performance; however, the model uses a high level algorithm for friction compensation. The attitude accuracy of the system is nearly 5 degrees. The goal of this project is tracking and control of the ADCS in conditions in which the friction torque of the ball bearings in gimbals has been compensated. The controller that was implemented in this system uses a nonlinear model based on adaptive control. First, feedback linearization is used to cancel the nonlinearities which then was modified by an adaptive control using a Lyapunov function to estimate the uncertainties such as moments of inertia, eccentricity of the center of mass, and friction. The friction model includes Stribeck, viscous, and Coulumb terms. High level estimators and identifiers are used for estimation and identification of friction model parameters. Finally, the controllers were validated by simulation results.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127554439","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356718
B. Moaveni, H. Abdollahzadeh, M. Mazoochi
Zeta converters are the fourth-order DC-DC converters capable of operating in both step-up and step-down modes and do not suffer from the polarity reversal problem. There are many applications which require a variable output voltage commanded by an external reference signal. So, the Zeta converters can be particularly useful for such applications. To achieve a Zeta converter with adjustable output voltage capable of following an external reference signal smoothly and accurately, there will be a need for a suitable control system. Since the Zeta converter model that is used in this paper is nonlinear, we propose a combination scheme of model reference adaptive control (MRAC) with neural networks (NN). In this paper, we propose and design a neural network adaptive model reference controller to control the output voltage of Zeta converter. Simulation results show the effectiveness of the proposed scheme for the Zeta converters with adjustable output voltage.
{"title":"Adjustable output voltage Zeta converter using neural network adaptive model reference control","authors":"B. Moaveni, H. Abdollahzadeh, M. Mazoochi","doi":"10.1109/ICCIAUTOM.2011.6356718","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356718","url":null,"abstract":"Zeta converters are the fourth-order DC-DC converters capable of operating in both step-up and step-down modes and do not suffer from the polarity reversal problem. There are many applications which require a variable output voltage commanded by an external reference signal. So, the Zeta converters can be particularly useful for such applications. To achieve a Zeta converter with adjustable output voltage capable of following an external reference signal smoothly and accurately, there will be a need for a suitable control system. Since the Zeta converter model that is used in this paper is nonlinear, we propose a combination scheme of model reference adaptive control (MRAC) with neural networks (NN). In this paper, we propose and design a neural network adaptive model reference controller to control the output voltage of Zeta converter. Simulation results show the effectiveness of the proposed scheme for the Zeta converters with adjustable output voltage.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114288607","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356711
Saleh Mobayen, V. J. Majd, M. H. Asemani
The objective of this paper is to combine the composite nonlinear feedback and integral sliding mode strategies for fast and accurate robust tracking of a class of linear systems subject to uncertainties. In fact, the theory of integral sliding mode-based composite nonlinear feedback method is presented such that the resulting controlled output would track a target reference as fast as possible with small overshoot and without any steady state bias. The proposed control method retains the actual structure of composite nonlinear feedback controller in following the reference trajectory within a given accuracy and the invariance property of integral sliding mode method in rejecting disturbances and at the same time preserves the stability of the whole system. Also, a collection of nonlinear functions in different forms are studied to improve the reference tracking performance of the system. Simulation results show that the control law designed by this approach yields excellent performance.
{"title":"Selection of nonlinear function in integral sliding mode-based composite nonlinear feedback method for transient improvement of uncertain linear systems","authors":"Saleh Mobayen, V. J. Majd, M. H. Asemani","doi":"10.1109/ICCIAUTOM.2011.6356711","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356711","url":null,"abstract":"The objective of this paper is to combine the composite nonlinear feedback and integral sliding mode strategies for fast and accurate robust tracking of a class of linear systems subject to uncertainties. In fact, the theory of integral sliding mode-based composite nonlinear feedback method is presented such that the resulting controlled output would track a target reference as fast as possible with small overshoot and without any steady state bias. The proposed control method retains the actual structure of composite nonlinear feedback controller in following the reference trajectory within a given accuracy and the invariance property of integral sliding mode method in rejecting disturbances and at the same time preserves the stability of the whole system. Also, a collection of nonlinear functions in different forms are studied to improve the reference tracking performance of the system. Simulation results show that the control law designed by this approach yields excellent performance.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121810048","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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