Pub Date : 2020-03-20DOI: 10.5772/intechopen.91664
A. Nikiforov
The control and protection algorithms for the considered class of dynamic facilities with a tunable structure are considered. Their relevance follows from the concepts of the development of the electric power industry—smart grid, digital substation and outsourcing services. The properties of this class of dynamic objects are spatial distribution, many options for changing the structure and motion in vibrational circuits at natural frequencies from ultra-high to ultra-low. The input coordinate of the dynamic objects is the vector of the change in the structure of the object. The output coordinate is the power of a special semantic signal about the state of the facilities. Their management is carried out as part of the stabilisation system of the normal operation of the facility. Stabilisation is achieved by the criterion of the minimum deviation of the power of the semantic signal from the ‘normal mode’ setting of operation. Executive bodies rebuild the structure of the dynamic facility in a pulsed, programmatic way, using the possibilities of self-healing and resource reservation. If stabilisation is not possible, the damaged area is excluded from the facility. The problem of the stability of the system turned out to be the lack of sufficient information about the state of the object and the similarity of the structure and significance of unrecognisable semantic situations to the main situations. Control algorithms are synthesised by the developed structural-informational (SI) method of dynamic pattern recognition.
{"title":"Automatic Control of the Structure of Dynamic Objects in High-Voltage Power Smart-Grid","authors":"A. Nikiforov","doi":"10.5772/intechopen.91664","DOIUrl":"https://doi.org/10.5772/intechopen.91664","url":null,"abstract":"The control and protection algorithms for the considered class of dynamic facilities with a tunable structure are considered. Their relevance follows from the concepts of the development of the electric power industry—smart grid, digital substation and outsourcing services. The properties of this class of dynamic objects are spatial distribution, many options for changing the structure and motion in vibrational circuits at natural frequencies from ultra-high to ultra-low. The input coordinate of the dynamic objects is the vector of the change in the structure of the object. The output coordinate is the power of a special semantic signal about the state of the facilities. Their management is carried out as part of the stabilisation system of the normal operation of the facility. Stabilisation is achieved by the criterion of the minimum deviation of the power of the semantic signal from the ‘normal mode’ setting of operation. Executive bodies rebuild the structure of the dynamic facility in a pulsed, programmatic way, using the possibilities of self-healing and resource reservation. If stabilisation is not possible, the damaged area is excluded from the facility. The problem of the stability of the system turned out to be the lack of sufficient information about the state of the object and the similarity of the structure and significance of unrecognisable semantic situations to the main situations. Control algorithms are synthesised by the developed structural-informational (SI) method of dynamic pattern recognition.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"66 6 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77937074","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 : 2020-03-07DOI: 10.5772/intechopen.91629
O. Abreu, M. Martins, L. Schnitman
In control theory, the inverted pendulum is a class of dynamic systems widely used as a benchmarking for evaluating several control strategies. Such a system is characterized by an underactuated behavior. It is also nonlinear and presents open-loop unstable and integrating modes. These dynamic features make the control more difficult, mainly when the controller synthesis seeks to include constraints and the guarantee of stability of the closed-loop system. This chapter presents a stabilizing model predictive control (MPC) strategy for inverted pendulum-like behaved systems. It has an offset-free control law based on an only optimization problem (one-layer control formulation), and the Lyapunov stability of the closed-loop system is achieved by adopting an infinite prediction horizon. The controller feasibility is also assured by imposing a suitable set of slacked terminal constraints associated with the unstable and integrating states of the system. The effectiveness of the implementable and stabilizing MPC controller is experimentally demonstrated in a commercial-didactic rotary inverted pendulum prototype, considering both cases of stabilization of the pendulum in the upright position and the output tracking of the rotary arm angle.
{"title":"An Implementable and Stabilizing Model Predictive Control Strategy for Inverted Pendulum-Like Behaved Systems","authors":"O. Abreu, M. Martins, L. Schnitman","doi":"10.5772/intechopen.91629","DOIUrl":"https://doi.org/10.5772/intechopen.91629","url":null,"abstract":"In control theory, the inverted pendulum is a class of dynamic systems widely used as a benchmarking for evaluating several control strategies. Such a system is characterized by an underactuated behavior. It is also nonlinear and presents open-loop unstable and integrating modes. These dynamic features make the control more difficult, mainly when the controller synthesis seeks to include constraints and the guarantee of stability of the closed-loop system. This chapter presents a stabilizing model predictive control (MPC) strategy for inverted pendulum-like behaved systems. It has an offset-free control law based on an only optimization problem (one-layer control formulation), and the Lyapunov stability of the closed-loop system is achieved by adopting an infinite prediction horizon. The controller feasibility is also assured by imposing a suitable set of slacked terminal constraints associated with the unstable and integrating states of the system. The effectiveness of the implementable and stabilizing MPC controller is experimentally demonstrated in a commercial-didactic rotary inverted pendulum prototype, considering both cases of stabilization of the pendulum in the upright position and the output tracking of the rotary arm angle.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"24 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2020-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77689527","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 : 2020-03-05DOI: 10.5772/intechopen.91653
A. L. Saleh, A. Obed, H. H. Qasim, Waleed I. Breesam, Y. Al-Yasir, Nasser Ojaroudi, R. Abd‐Alhameed
In the recent years, researchers have sophisticated the synthesis of neural networks depending on the wavelet functions to build the wavelet neural networks (WNNs), where the wavelet function is utilized in the hidden layer as a sigmoid function instead of conventional sigmoid function that is utilized in artificial neural network. The WNN inherits the features of the wavelet function and the neural network (NN), such as self-learning, self-adapting, time-frequency location, robustness, and nonlinearity. Besides, the wavelet function theory guarantees that the WNN can simulate the nonlinear system precisely and rapidly. In this chapter, the WNN is used with PID controller to make a developed controller named WNN-PID controller. This controller will be utilized to control the speed of Brushless DC (BLDC) motor to get preferable performance than the traditional controller techniques. Besides, the particle swarm optimization (PSO) algorithm is utilized to optimize the parameters of the WNN-PID controller. The modification for this method of the WNN such as the recurrent wavelet neural network (RWNN) was included in this chapter. Simulation results for all the above methods are given and compared.
{"title":"Wavelet Neural Networks for Speed Control of BLDC Motor","authors":"A. L. Saleh, A. Obed, H. H. Qasim, Waleed I. Breesam, Y. Al-Yasir, Nasser Ojaroudi, R. Abd‐Alhameed","doi":"10.5772/intechopen.91653","DOIUrl":"https://doi.org/10.5772/intechopen.91653","url":null,"abstract":"In the recent years, researchers have sophisticated the synthesis of neural networks depending on the wavelet functions to build the wavelet neural networks (WNNs), where the wavelet function is utilized in the hidden layer as a sigmoid function instead of conventional sigmoid function that is utilized in artificial neural network. The WNN inherits the features of the wavelet function and the neural network (NN), such as self-learning, self-adapting, time-frequency location, robustness, and nonlinearity. Besides, the wavelet function theory guarantees that the WNN can simulate the nonlinear system precisely and rapidly. In this chapter, the WNN is used with PID controller to make a developed controller named WNN-PID controller. This controller will be utilized to control the speed of Brushless DC (BLDC) motor to get preferable performance than the traditional controller techniques. Besides, the particle swarm optimization (PSO) algorithm is utilized to optimize the parameters of the WNN-PID controller. The modification for this method of the WNN such as the recurrent wavelet neural network (RWNN) was included in this chapter. Simulation results for all the above methods are given and compared.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"49 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76427993","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 : 2020-02-13DOI: 10.5772/intechopen.90732
I. Sinitsyn, V. Sinitsyn, Edward R. Korepanov
The methods of the control stochastic systems (CStS) research based on the parametrization of the distributions permit to design practically simple software tools. These methods give the rapid increase of the number of equations for the moments, the semiinvariants, coefficients of the truncated orthogonal expansions of the state vector Y, and the maximal order of the moments involved. For structural parametrization of the probability (normalized and nonnormalized) densities, we shall apply the ellipsoidal densities. A normal distribution has an ellipsoidal structure. The distinctive characteristics of such distributions consist in the fact that their densities are the functions of positively determined quadratic form of the centered state vector. Ellipsoidal approximation method (EAM) cardinally reduces the number of parameters. For ellipsoidal linearization method (ELM), the number of equations coincides with normal approximation method (NAM). The development of EAM (ELM) for CStS analysis and CStS filtering are considered. Based on nonnormalized densities, new types of filters are designed. The theory of ellipsoidal Pugachev conditionally optimal control is presented. Basic applications are considered.
{"title":"Development of Ellipsoidal Analysis and Filtering Methods for Nonlinear Control Stochastic Systems","authors":"I. Sinitsyn, V. Sinitsyn, Edward R. Korepanov","doi":"10.5772/intechopen.90732","DOIUrl":"https://doi.org/10.5772/intechopen.90732","url":null,"abstract":"The methods of the control stochastic systems (CStS) research based on the parametrization of the distributions permit to design practically simple software tools. These methods give the rapid increase of the number of equations for the moments, the semiinvariants, coefficients of the truncated orthogonal expansions of the state vector Y, and the maximal order of the moments involved. For structural parametrization of the probability (normalized and nonnormalized) densities, we shall apply the ellipsoidal densities. A normal distribution has an ellipsoidal structure. The distinctive characteristics of such distributions consist in the fact that their densities are the functions of positively determined quadratic form of the centered state vector. Ellipsoidal approximation method (EAM) cardinally reduces the number of parameters. For ellipsoidal linearization method (ELM), the number of equations coincides with normal approximation method (NAM). The development of EAM (ELM) for CStS analysis and CStS filtering are considered. Based on nonnormalized densities, new types of filters are designed. The theory of ellipsoidal Pugachev conditionally optimal control is presented. Basic applications are considered.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"74 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83748251","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 : 2019-03-15DOI: 10.12691/AUTOMATION-7-1-2
Edeh O.D.F., C. Ossia
Rapid technological advances to meet increasing demand for optimal, economical and environmentally friendly solutions has lead to the challenge of increased discontinuities of some service parts by manufacturers. These discontinuities had resulted in increased abandonment of some machines after a few years. Electronic and control modules often receive great share of this abandonment. Hence, the Selective Compliant Assembly Robot Arm (SR-600 SCARA Robot) had been cut-up by these discontinuities. Retrofitting enables existing machines access to new technologies and opportunities. In this study, SR-600 SCARA Robot was reviewed for this purpose. The forward and inverse kinematics equations were solved. An insulated-gate bipolar transistor (IGBT)-based power amplifier design was developed. Results of the amplifier Simulation, closed-loop control implementation and the PID (proportional integral derivative) tuning of the axes servos were presented. The results does not only offer cheap, compact and power efficient control solution, but also an improved multimode motion control using PID controls with velocity and acceleration feed-forward and high speed Ethernet communication between the Robot and the host computer. In this retrofit, results indicate an excellent angular resolution of 0.001o for the three revolute joints, a translational resolution of 2.223µm and an overall motion accuracy of 0.038o for the PID tune configuration of Ki = 1, Kp =50, and Kd =100.
{"title":"Dynamic Sensitivity Evaluation of Retrofit SR-600 SCARA Robot","authors":"Edeh O.D.F., C. Ossia","doi":"10.12691/AUTOMATION-7-1-2","DOIUrl":"https://doi.org/10.12691/AUTOMATION-7-1-2","url":null,"abstract":"Rapid technological advances to meet increasing demand for optimal, economical and environmentally friendly solutions has lead to the challenge of increased discontinuities of some service parts by manufacturers. These discontinuities had resulted in increased abandonment of some machines after a few years. Electronic and control modules often receive great share of this abandonment. Hence, the Selective Compliant Assembly Robot Arm (SR-600 SCARA Robot) had been cut-up by these discontinuities. Retrofitting enables existing machines access to new technologies and opportunities. In this study, SR-600 SCARA Robot was reviewed for this purpose. The forward and inverse kinematics equations were solved. An insulated-gate bipolar transistor (IGBT)-based power amplifier design was developed. Results of the amplifier Simulation, closed-loop control implementation and the PID (proportional integral derivative) tuning of the axes servos were presented. The results does not only offer cheap, compact and power efficient control solution, but also an improved multimode motion control using PID controls with velocity and acceleration feed-forward and high speed Ethernet communication between the Robot and the host computer. In this retrofit, results indicate an excellent angular resolution of 0.001o for the three revolute joints, a translational resolution of 2.223µm and an overall motion accuracy of 0.038o for the PID tune configuration of Ki = 1, Kp =50, and Kd =100.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"2 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83673613","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 : 2019-01-01DOI: 10.1504/IJAAC.2019.10016561
S. Vaidyanathan, Oumate Alhadji Abba, G. Betchewe, Mohamadou Alidou
A new three-dimensional chaotic system with two nonlinearities is proposed in this research work. Specifically, the two nonlinearities considered in the construction of the new chaotic system are a quadratic nonlinearity and a quartic nonlinearity. A systematic study of the three-dimensional chaotic system has been made including phase portraits, dissipativity, rest points and their stability, Lyapunov chaos exponents, Kaplan-Yorke fractal dimension, etc. As main control results, we design feedback control laws using adaptive control theory to achieve global stabilisation of the new chaotic system and also global synchronisation of identical chaotic systems with unknown parameters. Finally, an electronic circuit design of the new chaotic system using electronic work bench (EWB) is described in detail to confirm the feasibility of the theoretical chaotic model.
{"title":"A new three-dimensional chaotic system: its adaptive control and circuit design","authors":"S. Vaidyanathan, Oumate Alhadji Abba, G. Betchewe, Mohamadou Alidou","doi":"10.1504/IJAAC.2019.10016561","DOIUrl":"https://doi.org/10.1504/IJAAC.2019.10016561","url":null,"abstract":"A new three-dimensional chaotic system with two nonlinearities is proposed in this research work. Specifically, the two nonlinearities considered in the construction of the new chaotic system are a quadratic nonlinearity and a quartic nonlinearity. A systematic study of the three-dimensional chaotic system has been made including phase portraits, dissipativity, rest points and their stability, Lyapunov chaos exponents, Kaplan-Yorke fractal dimension, etc. As main control results, we design feedback control laws using adaptive control theory to achieve global stabilisation of the new chaotic system and also global synchronisation of identical chaotic systems with unknown parameters. Finally, an electronic circuit design of the new chaotic system using electronic work bench (EWB) is described in detail to confirm the feasibility of the theoretical chaotic model.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"46 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763436","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 : 2019-01-01DOI: 10.1504/ijaac.2019.10018131
Santiago Morant Artés, Juan M. Martín Sánchez, Daniel Viúdez Moreiras
{"title":"Derivative adaptive predictive control for a tempering process","authors":"Santiago Morant Artés, Juan M. Martín Sánchez, Daniel Viúdez Moreiras","doi":"10.1504/ijaac.2019.10018131","DOIUrl":"https://doi.org/10.1504/ijaac.2019.10018131","url":null,"abstract":"","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763451","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 : 2017-01-01DOI: 10.1504/IJAAC.2017.10001064
R. Amin, Li Aijun
During the past one decade, multirotor unmanned aerial vehicles (MUAVs)'s control has become an active research area for flight control community. The reasons behind are the benefits offered by MUAV and its numerous commercial and consumer applications. In this paper, design of a robust attitude controller for four-rotor hover vehicle that is a kind of MUAV, based on H∞ mixed-sensitivity synthesis is presented. Firstly, a linear model of four-rotor hover vehicle is derived, which is formulated as a nominal plant perturbed by parameter and unstructured uncertainties. H∞ mixed-sensitivity controller is designed due to the uncertain nature of the system. The efficacy of the proposed controller is proved by simulations and experiment. Performance analysis, simulation, and experimental results show that the proposed controller guarantees stability, exhibits good performance, and robustness margins against the parameter and unstructured uncertainties.
{"title":"Design of mixed sensitivity H∞ control for four-rotor hover vehicle","authors":"R. Amin, Li Aijun","doi":"10.1504/IJAAC.2017.10001064","DOIUrl":"https://doi.org/10.1504/IJAAC.2017.10001064","url":null,"abstract":"During the past one decade, multirotor unmanned aerial vehicles (MUAVs)'s control has become an active research area for flight control community. The reasons behind are the benefits offered by MUAV and its numerous commercial and consumer applications. In this paper, design of a robust attitude controller for four-rotor hover vehicle that is a kind of MUAV, based on H∞ mixed-sensitivity synthesis is presented. Firstly, a linear model of four-rotor hover vehicle is derived, which is formulated as a nominal plant perturbed by parameter and unstructured uncertainties. H∞ mixed-sensitivity controller is designed due to the uncertain nature of the system. The efficacy of the proposed controller is proved by simulations and experiment. Performance analysis, simulation, and experimental results show that the proposed controller guarantees stability, exhibits good performance, and robustness margins against the parameter and unstructured uncertainties.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"11 1","pages":"89-103"},"PeriodicalIF":1.2,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763397","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 : 2015-08-04DOI: 10.1504/IJAAC.2015.070955
M. Sahraoui, M. Khelfi, Mohammed Salem
This paper is dedicated to present one of newly developed evolutionary algorithm. We consider a new way to tune the PID controller of nonlinear systems where the parameters of PID are optimised using the optimisation method called artificial immune algorithm (AIA). This algorithm is inspired from the immune system defends to the body against harmful diseases and infections. This paper describes the application of AIA technique based on two fitness function to optimally tune the three terms of the classical PID controller, to control a nonlinear process. Simulations of the proposed algorithm are carried out over a mass-spring damper system. The results of simulation indicate that the genetic AIA is an effective method for parameter optimisation of PID controllers.
{"title":"Application of artificial immune algorithm-based optimisation in tuning a PID controller for nonlinear systems","authors":"M. Sahraoui, M. Khelfi, Mohammed Salem","doi":"10.1504/IJAAC.2015.070955","DOIUrl":"https://doi.org/10.1504/IJAAC.2015.070955","url":null,"abstract":"This paper is dedicated to present one of newly developed evolutionary algorithm. We consider a new way to tune the PID controller of nonlinear systems where the parameters of PID are optimised using the optimisation method called artificial immune algorithm (AIA). This algorithm is inspired from the immune system defends to the body against harmful diseases and infections. This paper describes the application of AIA technique based on two fitness function to optimally tune the three terms of the classical PID controller, to control a nonlinear process. Simulations of the proposed algorithm are carried out over a mass-spring damper system. The results of simulation indicate that the genetic AIA is an effective method for parameter optimisation of PID controllers.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"9 1","pages":"186-200"},"PeriodicalIF":1.2,"publicationDate":"2015-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJAAC.2015.070955","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763388","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 : 2012-01-01DOI: 10.1504/IJAAC.2012.051892
S. Rostami, A. R. Noei, Reza Gaderi
This paper presents a multi-input multi-output (MIMO) dynamic model of polymer electrolyte membrane (PEM) fuel cells. A non-linear controller is designed to prolong the stack life of the PEM fuel cell. A moderate deviation between hydrogen and oxygen partial pressures can cause severe membrane damage in the fuel cell. Therefore, a second-order sliding mode strategy is applied to the PEM fuel cell system. This controller is combined with a new step by step differentiators as an output-feedback controller. The differentiator estimates a successive derivative of the measured error signal up to n – 1 order after a finite time transient. Simulation procedure shows performance of the SOSM approach to control PEMFC stack pressure to provide robustness against uncertainties and disturbances.
{"title":"Control of PEM fuel cell system via higher order sliding mode control","authors":"S. Rostami, A. R. Noei, Reza Gaderi","doi":"10.1504/IJAAC.2012.051892","DOIUrl":"https://doi.org/10.1504/IJAAC.2012.051892","url":null,"abstract":"This paper presents a multi-input multi-output (MIMO) dynamic model of polymer electrolyte membrane (PEM) fuel cells. A non-linear controller is designed to prolong the stack life of the PEM fuel cell. A moderate deviation between hydrogen and oxygen partial pressures can cause severe membrane damage in the fuel cell. Therefore, a second-order sliding mode strategy is applied to the PEM fuel cell system. This controller is combined with a new step by step differentiators as an output-feedback controller. The differentiator estimates a successive derivative of the measured error signal up to n – 1 order after a finite time transient. Simulation procedure shows performance of the SOSM approach to control PEMFC stack pressure to provide robustness against uncertainties and disturbances.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"6 1","pages":"310-329"},"PeriodicalIF":1.2,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJAAC.2012.051892","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66763343","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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