Pub Date : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258646
Benyamin Haghniaz Jahromi, S. Almodarresi, P. Hajebi
This paper proposed a novel soft-switch controller for networked control systems. This controller is composed of fuzzy logic system and neural networks. One of the most important drawbacks in networked control systems is stochastic time delay which causes instability in control system. Proposed controller can overcome large delays by applying suitable control signal softly. Ten neural networks are designed based on related network time delay ranges, then using a TSK fuzzy logic system, the proper weights for outputs of each neural network are calculated based on online estimated network time delay. By summation of multiplied obtained weights and outputs of neural networks, control signal of soft-switch controller is generated. Comparison of simulation results between soft-switch method and two other common methods shows the proposed method improves the system performance especially in large delays such as 450ms. For example in network time delays over 400ms the Integral of Time-weighted Absolute Error, ITAE, of soft-switch controller is reduced to 0.78 and 0.11 rather than ITAE of Smith predictor and common fuzzy logic controller, respectively.
{"title":"Fuzzy logic soft-switch controller for networked control systems","authors":"Benyamin Haghniaz Jahromi, S. Almodarresi, P. Hajebi","doi":"10.1109/ICCIAUTOM.2017.8258646","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258646","url":null,"abstract":"This paper proposed a novel soft-switch controller for networked control systems. This controller is composed of fuzzy logic system and neural networks. One of the most important drawbacks in networked control systems is stochastic time delay which causes instability in control system. Proposed controller can overcome large delays by applying suitable control signal softly. Ten neural networks are designed based on related network time delay ranges, then using a TSK fuzzy logic system, the proper weights for outputs of each neural network are calculated based on online estimated network time delay. By summation of multiplied obtained weights and outputs of neural networks, control signal of soft-switch controller is generated. Comparison of simulation results between soft-switch method and two other common methods shows the proposed method improves the system performance especially in large delays such as 450ms. For example in network time delays over 400ms the Integral of Time-weighted Absolute Error, ITAE, of soft-switch controller is reduced to 0.78 and 0.11 rather than ITAE of Smith predictor and common fuzzy logic controller, respectively.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130888225","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258668
H. Moodi, D. Bustan
This paper addresses the problem of unmeasured premise variable in T-S fuzzy observers. Normally when the premise variable is unmeasured, observer design becomes rather challenging and computational burden increases. Here a simple method is introduced to avoid unmeasured premise variables by using the nonlinear local models in the fuzzy rules. The proposed method guarantees asymptotic convergence of state estimation error by Lyapunov stability analysis and linear matrix inequality (LMI) formulation. A practical example of two wheeled vehicle, illustrates effectiveness of the proposed method.
{"title":"Unmeasurable premise avoidance in T-S fuzzy observers","authors":"H. Moodi, D. Bustan","doi":"10.1109/ICCIAUTOM.2017.8258668","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258668","url":null,"abstract":"This paper addresses the problem of unmeasured premise variable in T-S fuzzy observers. Normally when the premise variable is unmeasured, observer design becomes rather challenging and computational burden increases. Here a simple method is introduced to avoid unmeasured premise variables by using the nonlinear local models in the fuzzy rules. The proposed method guarantees asymptotic convergence of state estimation error by Lyapunov stability analysis and linear matrix inequality (LMI) formulation. A practical example of two wheeled vehicle, illustrates effectiveness of the proposed method.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132618570","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258674
A. Eliseev, Dmitry L. Kachalov, M. Farkhadov
In this paper, we investigate modern methods, models, and technologies to process big data in large-scale systems. It takes a lot of time to process data in large-scale information systems. T o process such big data more efficiently, new methods to collect, store, and process large data are used.
{"title":"Modern methods to collect, store, and process big data in large-scale systems","authors":"A. Eliseev, Dmitry L. Kachalov, M. Farkhadov","doi":"10.1109/ICCIAUTOM.2017.8258674","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258674","url":null,"abstract":"In this paper, we investigate modern methods, models, and technologies to process big data in large-scale systems. It takes a lot of time to process data in large-scale information systems. T o process such big data more efficiently, new methods to collect, store, and process large data are used.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133845150","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258678
Khatereh Mohammadi, R. Shahnazi
In this paper, optimal PID and optimal fractional PID controllers for position control of ultrasonic motor are proposed. To design these controllers both minimizing tracking error and control effort are considered. Since these objectives are contradictory the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is used as an evolutionary multi-objective method to derive the Pareto-optimal front consisting optimal solutions. The simulation results demonstrate the superiority of the optimal fractional PID controller in minimizing tracking error while utilizing less control effort. Besides, the robustness of the optimal controllers against parameter variations is investigated. The results ensure that the optimal fractional PID controller is more robust than the optimal PID controller.
提出了超声电机位置控制的最优PID控制器和最优分数阶PID控制器。在设计这些控制器时，要考虑跟踪误差最小化和控制努力最小化。由于这些目标是相互矛盾的，因此将非支配排序遗传算法- ii (NSGA-II)作为一种进化多目标方法来推导由最优解组成的pareto最优前沿。仿真结果表明，最优分数阶PID控制器在减少控制工作量的同时使跟踪误差最小化。此外，还研究了最优控制器对参数变化的鲁棒性。结果表明，最优分数阶PID控制器比最优PID控制器具有更强的鲁棒性。
{"title":"Pareto optimal fractional PID for position control of ultrasonic motor","authors":"Khatereh Mohammadi, R. Shahnazi","doi":"10.1109/ICCIAUTOM.2017.8258678","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258678","url":null,"abstract":"In this paper, optimal PID and optimal fractional PID controllers for position control of ultrasonic motor are proposed. To design these controllers both minimizing tracking error and control effort are considered. Since these objectives are contradictory the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is used as an evolutionary multi-objective method to derive the Pareto-optimal front consisting optimal solutions. The simulation results demonstrate the superiority of the optimal fractional PID controller in minimizing tracking error while utilizing less control effort. Besides, the robustness of the optimal controllers against parameter variations is investigated. The results ensure that the optimal fractional PID controller is more robust than the optimal PID controller.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130185565","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258647
F. Zahedi, M. Haeri
In this paper a new approach is developed to stabilize descriptor systems with time-delay, while time-delay can belong to a given interval. This approach takes the advantages of system's singularity to simplify the model and uses the so-called Rekasius substitution to compute the controller parameters in a way that the asymptotic stability of the closed-loop system in the given interval of the delay can be guaranteed. Finally, a numerical example is provided to evaluate the proposed method's effectiveness.
{"title":"Asymptotic stability of linear descriptor systems with time-delay by designing delay margin","authors":"F. Zahedi, M. Haeri","doi":"10.1109/ICCIAUTOM.2017.8258647","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258647","url":null,"abstract":"In this paper a new approach is developed to stabilize descriptor systems with time-delay, while time-delay can belong to a given interval. This approach takes the advantages of system's singularity to simplify the model and uses the so-called Rekasius substitution to compute the controller parameters in a way that the asymptotic stability of the closed-loop system in the given interval of the delay can be guaranteed. Finally, a numerical example is provided to evaluate the proposed method's effectiveness.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128706003","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258684
V. Ghaffari
In this paper, the well-known LQR problems are mainly investigated. In both of the continuous-time and discretetime representations, an explicit solution of the LQR problems are analytically determined with the proposed method. This procedure which, based on the state transition matrix, is used in two numerical examples to show the applicability of proposed method.
{"title":"A state transition based approach to explicit solution of the LQR problem","authors":"V. Ghaffari","doi":"10.1109/ICCIAUTOM.2017.8258684","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258684","url":null,"abstract":"In this paper, the well-known LQR problems are mainly investigated. In both of the continuous-time and discretetime representations, an explicit solution of the LQR problems are analytically determined with the proposed method. This procedure which, based on the state transition matrix, is used in two numerical examples to show the applicability of proposed method.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123563629","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258702
M. Montazeri-Gh, A. Rasti, A. Imani
Aeroengines use a Min-Max selector structure for fuel flow control. This structure should provide desired fan speed command and prevent the engine from violation of physical and operational limits. Recent studies show that there is no guarantee for Min-Max algorithm with linear compensators to protect engine limits during transient state, while limit violation can make dangerous events. In this study, based on a reliable turbofan engine model, a Min-Max selector controller with linear compensators is designed as the traditional controller for gas turbine engines. Then, model predictive control (MPC) technique which can provide optimal control input with regarding input/output constraints is designed as a modern model-based controller. The performance of the Min-Max selector algorithm and model predictive controller are compared in tracking a general fan speed scenario and limit protection. The simulation results show that the MPC method provides faster response and prevent limit violation in compare with Min-Max approach.
{"title":"Comparison of model predictive controller and min-max approach for aircraft engine fuel control","authors":"M. Montazeri-Gh, A. Rasti, A. Imani","doi":"10.1109/ICCIAUTOM.2017.8258702","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258702","url":null,"abstract":"Aeroengines use a Min-Max selector structure for fuel flow control. This structure should provide desired fan speed command and prevent the engine from violation of physical and operational limits. Recent studies show that there is no guarantee for Min-Max algorithm with linear compensators to protect engine limits during transient state, while limit violation can make dangerous events. In this study, based on a reliable turbofan engine model, a Min-Max selector controller with linear compensators is designed as the traditional controller for gas turbine engines. Then, model predictive control (MPC) technique which can provide optimal control input with regarding input/output constraints is designed as a modern model-based controller. The performance of the Min-Max selector algorithm and model predictive controller are compared in tracking a general fan speed scenario and limit protection. The simulation results show that the MPC method provides faster response and prevent limit violation in compare with Min-Max approach.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124426213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/ICCIAUTOM.2017.8258709
N. Hosseinzadeh, Mohammed H. Albadi
A prototype of a hybrid renewable energy system (HRES), which includes solar energy, wind energy, and battery storage, was designed, implemented and installed in one of the laboratories of the College of Engineering at Sultan Qaboos University (SQU). The system can be upgraded to a small-scale microgrid, which may be used as a stand-alone renewable energy system for remote rural applications or may be connected to the low-voltage (LV) power network capable of importing/exporting electrical energy. In the latter application, it is suitable for residential homes. To have a better understanding of how this HRES may operate, various scenarios of operation were tested. Graphs of the microgrid performance in some of these scenarios are provided in this paper.
{"title":"Design, implementation and installation of a hybrid renewable energy system at Sultan Qaboos University","authors":"N. Hosseinzadeh, Mohammed H. Albadi","doi":"10.1109/ICCIAUTOM.2017.8258709","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258709","url":null,"abstract":"A prototype of a hybrid renewable energy system (HRES), which includes solar energy, wind energy, and battery storage, was designed, implemented and installed in one of the laboratories of the College of Engineering at Sultan Qaboos University (SQU). The system can be upgraded to a small-scale microgrid, which may be used as a stand-alone renewable energy system for remote rural applications or may be connected to the low-voltage (LV) power network capable of importing/exporting electrical energy. In the latter application, it is suitable for residential homes. To have a better understanding of how this HRES may operate, various scenarios of operation were tested. Graphs of the microgrid performance in some of these scenarios are provided in this paper.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115870180","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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