Pub Date : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6356677
I. Momenizadeh, A. Madady, H. Reza-Alikhani
The proportional-integral (PI) and proportional integral-derivative (PID) controllers are widely used in lots of industrial control systems for many years since Ziegler and Nichols proposed their first PID tuning scheme. This is because the PI/PID controller structure is simple and its principle is easier to understand than most other advanced controllers. The aim and the contribution of this paper is to develop a novel graphical method to design the PI controller for industrial processes which are modeled by an integrator plus dead time (IPDT) transfer function. For this purpose, a set of loci is developed and plotted in the controller parameters plane, which one of the quantities consists of gain and phase margins, gain and phase crossover frequencies and Smith's vector margin is constant on each locus. Next, the desired closed loop system characteristics are stated in the form of two loci. By sketching these two loci and obtaining their intersection point the controllers parameters are determined. Finally some examples are given to demonstrate the effectiveness of the proposed method.
{"title":"A graphical approach to design PI controller for integrator plus dead-time processes","authors":"I. Momenizadeh, A. Madady, H. Reza-Alikhani","doi":"10.1109/ICCIAUTOM.2011.6356677","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356677","url":null,"abstract":"The proportional-integral (PI) and proportional integral-derivative (PID) controllers are widely used in lots of industrial control systems for many years since Ziegler and Nichols proposed their first PID tuning scheme. This is because the PI/PID controller structure is simple and its principle is easier to understand than most other advanced controllers. The aim and the contribution of this paper is to develop a novel graphical method to design the PI controller for industrial processes which are modeled by an integrator plus dead time (IPDT) transfer function. For this purpose, a set of loci is developed and plotted in the controller parameters plane, which one of the quantities consists of gain and phase margins, gain and phase crossover frequencies and Smith's vector margin is constant on each locus. Next, the desired closed loop system characteristics are stated in the form of two loci. By sketching these two loci and obtaining their intersection point the controllers parameters are determined. Finally some examples are given to demonstrate the effectiveness of the proposed method.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"12 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":"125464719","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.2011.6356765
R. Safari, B. Tavassoli
This article presents results of an experimental study that indicates a correlation between the flow of the fluid in a pipe and the resulting vibrations. The main idea is to investigate the possibility of developing a low-cost, nonintrusive, flow rate estimation technique with a simple soft-sensor based on the dependency of flow rate on the vibration levels. In this work, the pipe vibrations were measured using a capacitive microphone installed on the pipe. Microphone time domain data were recorded at different flow rate values and then transformed to the frequency domain for further analysis. Empirical results indicate that there is a relationship between the output signal of microphone in frequency domain and the flow rate in the pipe. In other words, investigations show that pipe vibration levels are proportional to the fluid flow rate. Also, to study the effect of microphone installation location, the experiments were repeated for different microphone locations.
{"title":"Initial test and design of a soft sensor for flow estimation using vibration measurements","authors":"R. Safari, B. Tavassoli","doi":"10.1109/ICCIAUTOM.2011.6356765","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356765","url":null,"abstract":"This article presents results of an experimental study that indicates a correlation between the flow of the fluid in a pipe and the resulting vibrations. The main idea is to investigate the possibility of developing a low-cost, nonintrusive, flow rate estimation technique with a simple soft-sensor based on the dependency of flow rate on the vibration levels. In this work, the pipe vibrations were measured using a capacitive microphone installed on the pipe. Microphone time domain data were recorded at different flow rate values and then transformed to the frequency domain for further analysis. Empirical results indicate that there is a relationship between the output signal of microphone in frequency domain and the flow rate in the pipe. In other words, investigations show that pipe vibration levels are proportional to the fluid flow rate. Also, to study the effect of microphone installation location, the experiments were repeated for different microphone locations.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"46 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":"130292765","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.2011.6356832
M. Salimifard, A. Safavi, M. Shaheed
Since orthogonal representations of functions are among the most desirable and efficient approximation schemes, this paper proposes an appropriate combination of two classes of orthonormal basis functions for nonlinear dynamic system identification. For this purpose, the nonlinear Wiener model is studied which consists of a linear time invariant (LTI) subsystem followed by a nonlinear static function. To describe the linear part, Generalized Orthonormal Basis Functions (GOBFs) are invoked. These orthonormal bases include the familiar Laguerre, FIR, two-parameter Kautz and Hambo bases as special cases. The nonlinear static part is approximated based on orthogonal wavelets with compact support. By appropriate combination of these two parts, a linear-in-the-parameter model is obtained. Therefore, parameter estimation is simplified to an ordinary least squares problem. Two nonlinear dynamic case studies, a simulated fermentation process and a real singlelink flexible manipulator system, are also provided which demonstrate the effectiveness of the proposed algorithm with satisfactory performance.
{"title":"A GOBF-wavelet wiener model for identification of nonlinear dynamic systems","authors":"M. Salimifard, A. Safavi, M. Shaheed","doi":"10.1109/ICCIAUTOM.2011.6356832","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356832","url":null,"abstract":"Since orthogonal representations of functions are among the most desirable and efficient approximation schemes, this paper proposes an appropriate combination of two classes of orthonormal basis functions for nonlinear dynamic system identification. For this purpose, the nonlinear Wiener model is studied which consists of a linear time invariant (LTI) subsystem followed by a nonlinear static function. To describe the linear part, Generalized Orthonormal Basis Functions (GOBFs) are invoked. These orthonormal bases include the familiar Laguerre, FIR, two-parameter Kautz and Hambo bases as special cases. The nonlinear static part is approximated based on orthogonal wavelets with compact support. By appropriate combination of these two parts, a linear-in-the-parameter model is obtained. Therefore, parameter estimation is simplified to an ordinary least squares problem. Two nonlinear dynamic case studies, a simulated fermentation process and a real singlelink flexible manipulator system, are also provided which demonstrate the effectiveness of the proposed algorithm with satisfactory performance.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"39 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":"127079423","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.2011.6356768
H. Alaei
A new set of soft sensors is presented, based on principal component analysis (PCA), genetic algorithm (GA) and artificial neural network (ANN) methodologies for parameters estimation of a petroleum reservoir. The crude diagrams of reservoir parameters provide valuable evaluation for petro-physical parameters. These parameters, however, are usually difficult to measure due to limitations insights on cost, reliability considerations, inappropriate instrument maintenance and sensor failures. PCA and genetic algorithm is utilized to develop new soft sensors to incorporate reliability and prediction capabilities of ANN. Genetic algorithms are used to decide the initial weights of the gradient decent methods so that all the initial weights can be searched intelligently. The genetic operators and parameters are carefully designed and set avoiding premature convergence and permutation problems. The proposed algorithm combines the local searching ability of the gradient-based back-propagation (BP) strategy with the global searching ability of genetic algorithms in the PCA subspaces. The developed soft sensors are applied to reconstruct parameters of Marun reservoir located in Ahwaz, Iran, by utilizing the available geophysical well log data.
{"title":"Design of new soft sensors based on PCA, genetic algorithm and neural network for parameters estimation of a petroleum reservoir","authors":"H. Alaei","doi":"10.1109/ICCIAUTOM.2011.6356768","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356768","url":null,"abstract":"A new set of soft sensors is presented, based on principal component analysis (PCA), genetic algorithm (GA) and artificial neural network (ANN) methodologies for parameters estimation of a petroleum reservoir. The crude diagrams of reservoir parameters provide valuable evaluation for petro-physical parameters. These parameters, however, are usually difficult to measure due to limitations insights on cost, reliability considerations, inappropriate instrument maintenance and sensor failures. PCA and genetic algorithm is utilized to develop new soft sensors to incorporate reliability and prediction capabilities of ANN. Genetic algorithms are used to decide the initial weights of the gradient decent methods so that all the initial weights can be searched intelligently. The genetic operators and parameters are carefully designed and set avoiding premature convergence and permutation problems. The proposed algorithm combines the local searching ability of the gradient-based back-propagation (BP) strategy with the global searching ability of genetic algorithms in the PCA subspaces. The developed soft sensors are applied to reconstruct parameters of Marun reservoir located in Ahwaz, Iran, by utilizing the available geophysical well log data.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"138 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":"127229342","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.2011.6356794
H. Toshani, M. Farrokhi
In this paper, a numerical method based on neural network is presented to solve inverse kinematics problem of redundant manipulators subject to joint angle limits and obstacles in the workspace of the robot. The proposed method is performed in real time, where radial-basis function neural network is used to obtain joint angles of the robot. In order to satisfy constrains, a method called Nonlinear Quadratic Programming (NQP) is applied to update NN's weights. Moreover, it will be shown that if the Kuhn-Tucker conditions are satisfied, then convergence of NN's weights is guaranteed. Since the process is performed on-line, the computational time of obtaining the inverse kinematics solution must be suitable for real-time applications such as control of the robot manipulators. Moreover, since the convergence rate of the problem depends on the initial weights of the neural network, several initial weights are used relative to suitable factors such as feasibility of the solution and vicinity of the desired point. Simulations are carried out on the PA-10 redundant manipulator to show effectiveness of the proposed algorithm.
{"title":"Kinematic control of a seven DOF robot manipulator with joint limits and obstacle avoidance using neural networks","authors":"H. Toshani, M. Farrokhi","doi":"10.1109/ICCIAUTOM.2011.6356794","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356794","url":null,"abstract":"In this paper, a numerical method based on neural network is presented to solve inverse kinematics problem of redundant manipulators subject to joint angle limits and obstacles in the workspace of the robot. The proposed method is performed in real time, where radial-basis function neural network is used to obtain joint angles of the robot. In order to satisfy constrains, a method called Nonlinear Quadratic Programming (NQP) is applied to update NN's weights. Moreover, it will be shown that if the Kuhn-Tucker conditions are satisfied, then convergence of NN's weights is guaranteed. Since the process is performed on-line, the computational time of obtaining the inverse kinematics solution must be suitable for real-time applications such as control of the robot manipulators. Moreover, since the convergence rate of the problem depends on the initial weights of the neural network, several initial weights are used relative to suitable factors such as feasibility of the solution and vicinity of the desired point. Simulations are carried out on the PA-10 redundant manipulator to show effectiveness of the proposed algorithm.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"819 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":"127591844","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.2011.6356676
Fatemeh Daneshfar, H. Bevrani, F. Mansoori
Frequency regulation in interconnected networks is one of the main challenges in power systems. Significant interconnection frequency deviations can cause under/over frequency relaying and disconnect some loads and generations. Under unfavorable conditions, this may result in a cascading failure and system collapse. A control strategy for solving this problem in a multi-area power system is presented by an intelligent based load frequency control (LFC) using Bayesian networks (BNs). This method admits considerable flexibility in defining the control objectives specifically in a large scale power system. The BNs provide efficient probabilistic inference algorithms that permit answering various probabilistic queries about the system and incorporate expert knowledge and historical data for revising the prior belief in the light of new evidence in many fields. It is also possible to include local conditional dependencies into the model, by directly specifying the causes that influence a given effect. To demonstrate the capability of the proposed control structure, a three-control area power system simulation with two different scenarios is presented.
{"title":"Bayesian networks design of load-frequency control based on GA","authors":"Fatemeh Daneshfar, H. Bevrani, F. Mansoori","doi":"10.1109/ICCIAUTOM.2011.6356676","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356676","url":null,"abstract":"Frequency regulation in interconnected networks is one of the main challenges in power systems. Significant interconnection frequency deviations can cause under/over frequency relaying and disconnect some loads and generations. Under unfavorable conditions, this may result in a cascading failure and system collapse. A control strategy for solving this problem in a multi-area power system is presented by an intelligent based load frequency control (LFC) using Bayesian networks (BNs). This method admits considerable flexibility in defining the control objectives specifically in a large scale power system. The BNs provide efficient probabilistic inference algorithms that permit answering various probabilistic queries about the system and incorporate expert knowledge and historical data for revising the prior belief in the light of new evidence in many fields. It is also possible to include local conditional dependencies into the model, by directly specifying the causes that influence a given effect. To demonstrate the capability of the proposed control structure, a three-control area power system simulation with two different scenarios is presented.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"4 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":"121257160","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.2011.6356660
M. Mardaneh, F. Bavafa, S. Alavi, M. Sadeghi
This paper develops a high performance PI based controller for interior permanent magnet synchronous motor (IPMSM) drive. The performance indices which have been utilized as objective function are zero steady-state error, minimum speed deviation, and minimum settling time of the IPMSM drive. In this paper, a new method is used for tuning the PI controller. The optimal behavior of drive can be achieved by considering two control strategies: maximum torque per ampere (MTPA) control strategy in constant torque region and flux-weakening (FW) control strategy in constant power region. The nonlinear behavior of the IPMSM drives makes it difficult to tune the coefficients of the controller. This paper deals with tuning of the coefficients of the controller. In this paper a proportional-integral controller is utilized which is very simple applicable with high performance. Whereas, using the proposed tuning method, the problems that arise from conventional PI-controller, especially in nonlinear system, have been omitted.
{"title":"Nonlinear PI controller for interior permanent magnet synchronous motor drive","authors":"M. Mardaneh, F. Bavafa, S. Alavi, M. Sadeghi","doi":"10.1109/ICCIAUTOM.2011.6356660","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356660","url":null,"abstract":"This paper develops a high performance PI based controller for interior permanent magnet synchronous motor (IPMSM) drive. The performance indices which have been utilized as objective function are zero steady-state error, minimum speed deviation, and minimum settling time of the IPMSM drive. In this paper, a new method is used for tuning the PI controller. The optimal behavior of drive can be achieved by considering two control strategies: maximum torque per ampere (MTPA) control strategy in constant torque region and flux-weakening (FW) control strategy in constant power region. The nonlinear behavior of the IPMSM drives makes it difficult to tune the coefficients of the controller. This paper deals with tuning of the coefficients of the controller. In this paper a proportional-integral controller is utilized which is very simple applicable with high performance. Whereas, using the proposed tuning method, the problems that arise from conventional PI-controller, especially in nonlinear system, have been omitted.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"7 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":"121504764","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.2011.6356672
E. Zeraatkar, Mohammad Soltani, P. Karimaghaee
In this paper, a novel updating law for Backpropagation learning algorithm based on optimal control theory is proposed. The original Backpropagation algorithm composed of learning rate factor (LR). The coefficient in LR is called step size and indicates the rate of algorithm convergence which is selected by trial and error. In original BP the step size is constant. This fixed step size causes important incapabilities such as slow convergence and local minima problem. In Optimal Control Theory Based Learning Rate (OCLR)algorithm the step size is selected adaptively according to optimal control theory that makes Backpropagation learning algorithm convergence much faster than the original BP. To achieve the fastest possible answer, the Backpropagation learning algorithm is modeled as a minimum time control problem and the step size coefficient is considered as input. This consideration results a Bang-Bang control characteristics. The effectiveness of the proposed algorithm is evaluated via two examples. These examples are XOR, 3-bit parity. In all the problems, the proposed algorithm outperforms well in speed and the ability to escape from local minima.
{"title":"A fast convergence algorithm for BPNN based on optimal control theory based learning rate","authors":"E. Zeraatkar, Mohammad Soltani, P. Karimaghaee","doi":"10.1109/ICCIAUTOM.2011.6356672","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356672","url":null,"abstract":"In this paper, a novel updating law for Backpropagation learning algorithm based on optimal control theory is proposed. The original Backpropagation algorithm composed of learning rate factor (LR). The coefficient in LR is called step size and indicates the rate of algorithm convergence which is selected by trial and error. In original BP the step size is constant. This fixed step size causes important incapabilities such as slow convergence and local minima problem. In Optimal Control Theory Based Learning Rate (OCLR)algorithm the step size is selected adaptively according to optimal control theory that makes Backpropagation learning algorithm convergence much faster than the original BP. To achieve the fastest possible answer, the Backpropagation learning algorithm is modeled as a minimum time control problem and the step size coefficient is considered as input. This consideration results a Bang-Bang control characteristics. The effectiveness of the proposed algorithm is evaluated via two examples. These examples are XOR, 3-bit parity. In all the problems, the proposed algorithm outperforms well in speed and the ability to escape from local minima.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"12 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":"115428008","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.2011.6356795
M. Korayem, A. Homayooni, S. Sadeghzadeh, M. Safa, V. Rahneshin
Hysteresis effects on the macro, micro and nano sized piezo-driven systems are presented using a semi-analytical approach. After deriving the equations of motion and related boundary conditions using the Hamilton principle, they have been discretized using the Generalized Differential Quadrature Method (GDQM). Validation with exact and existent numerical methods provided and a good agreement has been observed for linear and nonlinear responses. As a pioneer, the hysteresis loops are provided with present distributed semi-analytical approach. Then, applicability of the obtained hysteresis loop in a nano-manipulation scheme has described exactly. It has shown that an expensive nano-manipulation scheme may be failed in the presence of hysteresis loops. In addition, the effects of the lamination on the hysteresis loop have been investigated. However, lamination strongly changes the linear response of micro and nano electro mechanical systems, nonlinear response shape (hysteresis loops) toward the lamination has not considerably affected.
{"title":"A semi-analytic modeling of nonlinearities for nano-robotic applications, macro and micro sized systems","authors":"M. Korayem, A. Homayooni, S. Sadeghzadeh, M. Safa, V. Rahneshin","doi":"10.1109/ICCIAUTOM.2011.6356795","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356795","url":null,"abstract":"Hysteresis effects on the macro, micro and nano sized piezo-driven systems are presented using a semi-analytical approach. After deriving the equations of motion and related boundary conditions using the Hamilton principle, they have been discretized using the Generalized Differential Quadrature Method (GDQM). Validation with exact and existent numerical methods provided and a good agreement has been observed for linear and nonlinear responses. As a pioneer, the hysteresis loops are provided with present distributed semi-analytical approach. Then, applicability of the obtained hysteresis loop in a nano-manipulation scheme has described exactly. It has shown that an expensive nano-manipulation scheme may be failed in the presence of hysteresis loops. In addition, the effects of the lamination on the hysteresis loop have been investigated. However, lamination strongly changes the linear response of micro and nano electro mechanical systems, nonlinear response shape (hysteresis loops) toward the lamination has not considerably affected.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"12 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":"127340005","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.2011.6356707
S. S. Boroujeni, G. Markadeh, J. Soltani, N. Abjadi
In this paper the electromagnetic torque and the square of the stator flux magnitude control using second order sliding mode controller (2-SMC) of a synchronous reluctance motor (SynRM), is proposed. With the purpose of guarantee the electromagnetic torque and stator flux to track its reference signal strictly, the electromagnetic torque sliding mode variable and stator flux sliding mode variable were selected separately. Designed super twisting controller permits to decrease chattering that is inherent in first order sliding mode control and to improve accuracy. Also the upper band of parameters uncertainties, are calculated to serve the stability of the total system. The effectiveness of the designed control scheme is confirmed via simulation.
{"title":"Flux and torque control of synchronous reluctance motor based on second order sliding mode method","authors":"S. S. Boroujeni, G. Markadeh, J. Soltani, N. Abjadi","doi":"10.1109/ICCIAUTOM.2011.6356707","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356707","url":null,"abstract":"In this paper the electromagnetic torque and the square of the stator flux magnitude control using second order sliding mode controller (2-SMC) of a synchronous reluctance motor (SynRM), is proposed. With the purpose of guarantee the electromagnetic torque and stator flux to track its reference signal strictly, the electromagnetic torque sliding mode variable and stator flux sliding mode variable were selected separately. Designed super twisting controller permits to decrease chattering that is inherent in first order sliding mode control and to improve accuracy. Also the upper band of parameters uncertainties, are calculated to serve the stability of the total system. The effectiveness of the designed control scheme is confirmed via simulation.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"23 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":"126618358","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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