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IEEE India Conference (INDICON)

作者： H. Tahersima A. Fatehi Advanced Process Automation & Control (APAC) research group Faculty of Electrical Engineering Khaje Nasir Toosi University of Technology Tehran Iran

Closed loop identification of nonlinear model and control of a laboratory helicopter using genetic algorithm is proposed in this paper. The derived model has a nonlinear structure. Using the previous results of the physical modeling of the studied plant, a nonlinear model is considered based on the physical dynamics of the system. However, there is no need to perform numerous physical experiments to estimate the model parameters. Instead, genetic algorithm as a nonlinear optimization technique is used to obtain the parameters of the model. Therefore, the advantage of both modeling and identification methods are employed. In the next step, the parameters of a multi input-multi output (MIMO) PID controller for the derived model will be tuned by GA using the obtained nonlinear model as a simulator of the plant. Applying the controller to both the real plant and the simulation model, the accuracy of the model and the performance of the controller is examined. The results demonstrate that the achieved model accurately fits to the behavior of the real plant and the controller designed based on this model, can control the real system appropriately.

关键词： MIMO Laboratories Helicopters Genetic algorithms Parameter estimation Automatic control Mathematical model Electronic mail Nonlinear dynamical systems control system synthesis

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Decentralized Robust PI controller Design For An Industrial Utility Boiler - An IMC Method

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IFAC Proceedings Volumes 2008年第2期41卷 14235-14240页

作者： Horacio Jose Marquez Batool Labibi Tongwen Chen Advanced Process Automation and Control (APAC) Research Group K. N. Toosi University of Technology Tehran Iran Electrical and Computer Engineering Department University of Alberta Edmonton Canada

This paper presents a scheme for designing a robust decentralized PI controller for an industrial utility boiler system. First, a new method for designing robust decentralized PI controllers for uncertain LTI MIMO systems is presented. Sufficient conditions for closed-loop stability and diagonal dominance of a multivariable system are given. For each isolated subsystem a first order approximation is obtained. Then, achieving robust stability and closedloop diagonal dominance is formulated as local robust performance problems. It is shown by selecting time constants of the closed-loop isolated subsystems appropriately, these local robust performance problems are solved and the interactions between closed-loop stabilized subsystems are attenuated. The internal model control (IMC) method is used to design local PI controllers. The suggested design strategy is applicable to unstable systems as well. Thereafter, the nonlinear model of an industrial utility boiler is linearized about its operating points and the nonlinearity is modeled as uncertainty for a nominal LTI MIMO system. Using the new proposed method, a decentralized PI controller for the uncertain LTI nominal model is designed. The designed controller is applied to the real system. The simulation results show the effectiveness of the proposed methodology.

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Robust Predictive PI controller Based on First-Order Dead Time Model

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IFAC Proceedings Volumes 2008年第2期41卷 5808-5813页

作者： F. Arousi U. Schmitz R. Bars R. Haber Dept. of Automation and Applied Informatics Budapest University of Technology and Economics MTA-BME Control Research group Dept. of Advanced Process Control Shell Rheinland Refinery Köln/Wesseling Germany Inst. of Chemical Process Engineering and Plant Design University of Applied Science Cologne Germany

Predictive control algorithms compute the manipulated variable minimizing a cost function considering expected future errors. PI control algorithms can be equipped with predictive properties. Simple predictive control algorithms are derived using approximation of an aperiodic process by a first-order model with dead time. Applying a noise model the robustness properties of the algorithm are enhanced considering plant-model mismatch. The noise filter is considered as a design parameter. Simulation examples demonstrate the behavior of the predictive PI algorithm and the robustifying effect of the noise filter.

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Lipschitz Numbers: A Medium for Delay Estimation

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IFAC Proceedings Volumes 2008年第2期41卷 7468-7473页

作者： Iman Makaremi Alireza Fatehi Babak Nadjar Araabi Advanced Process Automation & Control (APAC) Research Group Faculty of Electrical Eng. K.N. Toosi University of Technology Tehran Iran Control & Intelligent Processing Center of Excellence School of Electrical & Computer Eng. University of Tehran Tehran Iran

The paper deals with problem of estimating input channel delay in nonlinear system with a model-free approach. The proposed method is based on Lipschitz theory. It is an extension to the Lipschitz method which was proposed for determining the order of a model. Our algorithm consists of two parts which in the first one estimation is made on the proper number of dynamics on the input and in the second part the pure delay of the input is obtained. The method is applied for estimation of the delay of two different models and the estimation was as accurate as possible.

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Real-Time Level Plant control Using Improved BELBIC

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IFAC Proceedings Volumes 2008年第2期41卷 4631-4635页

作者： M. Masoudinejad R. Khorsandi A. Fatehi C. Lucas S. Fakhimi Derakhshan M.R. Jamali Advanced Process Automation & Control (APAC) Research Group Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran Center of Excellence for Control and Intelligent Processing Electrical and Computer engineering Department University of Tehran Iran

Brain emotional learning based intelligent controller (BELBIC) is based on computational model of limbic system in the mammalian brain. In recent years, this model was applied in many linear and nonlinear control applications. Previous studies show that this controller has fast response, simple implementation and robustness with respect to disturbances. It is also possible to define emotional signal based on control application objectives. But in the previous studies, internal instability of this controller was not considered and control task were done in limited time period. In this article mathematical description of BELBIC is investigated and improved to avoid internal instability. Simulation and implementation of improved model was done on level plant. The obtained results showed that instability of model has been solved in the new model without loss of performance by using Integral Anti Windup (IAW).

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An Improved Method for Tracking a Single Target in Variable Cluttered Environments

An Improved Method for Tracking a Single Target in Variable ...

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IEEE International Symposium on Signal processing and Information Technology (ISSPIT)

作者： Fatemeh Rahemi Ali Khaki Sedigh Alireza Fatehi Farbod Razzazi Department of Electrical Engineering Islamic Azad University Science and Research Tehran Iran Advanced Process Automation and Control (APAC) Research Group Electrical Engineering Department K.N. Toosi University of Technology Tehran Iran

Tracking moving objects in variable cluttered environments is an active area of research. It is common to use some simplifying assumption in such environments to facilitate the design. In this paper a new method for simulating the completely non-Gaussian cluttered environments is presented. The method is based on using the variable variance of process noise as a description of variability in such environments. The key objective is to find an effective algorithm for tracking a single moving object in variable cluttered environments, with utilization of the presented method. The new methodology is presented in two steps. In the first step we compare the accuracy of estimators in tracking a moving object, and in the second step, the goal is to find the best algorithm for tracking a single moving target in variable cluttered environments.

关键词： Target tracking Particle filters Radar tracking Working environment noise Stochastic systems Design automation Automatic control process control Electric variables control Jacobian matrices

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Identification and Abnormal Condition Detection of a Cement Rotary Kiln

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IFAC Proceedings Volumes 2008年第2期41卷 7233-7238页

作者： Iman Makaremi Alireza Fatehi Babak N. Araabi Morteza Azizi Ahmad Cheloian Advanced Process Automation & Control (APAC) Research Group Faculty of Electrical Eng. K.N. Toosi University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical & Computer Eng. University of Tehran Tehran Iran Saveh Cement Company Saveh Iran

In this paper, we use system identification methods for abnormal condition detection of a cement rotary kiln. After selecting proper inputs and output, an input-output model is identified for the plant. A novel approach is used in order to estimate the delays of the input channel of the kiln. By means of that, the identification task gets easier and the results are more accurate. To identify the kiln, Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. Finally, a model for the healthy mode of the kiln is obtained through which it is possible to detect abnormal conditions in the process. We distinguished two common abnormal conditions in kiln and another one which was not characteristically known for cement experts as well.

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Cement rotary kiln control: A supervised adaptive model predictive approach

Cement rotary kiln control: A supervised adaptive model pred...

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IEEE India Conference (INDICON)

作者： Javaneh Ziatabari Alireza Fatehi Mohamad T. H. Beheshti Department of Electrical Engineering University of Trabiat Modares Tehran Iran Advanced Process Automation and Control (APAC) research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

Considering the need of an advanced process control in cement industry, this paper presents an adaptive model predictive algorithm to control a white cement rotary kiln. As any other burning process, the control scenario is to expect the controller to regulate the temperature and the period of baking a fixed quantity of raw material as desired, as well as to have the concentration of the combustion gases under control. To achieve these goals, this work presents a strategy which includes multivariable online identification of the kiln process and a constrained generalized predictive controller. An MLP neural network model derived from real plant data of Saveh cement factory in Iran is used as the kiln process simulator. The control efforts are made taken into account the operating constraints. At last the proposed control strategy is modified so as to gain good disturbance rejection ability.

关键词： Kilns Programmable control Adaptive control Predictive models Temperature control process control Cement industry Prediction algorithms Raw materials Combustion

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A Neuro-Fuzzy controller for Rotary Cement Kilns

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IFAC Proceedings Volumes 2008年第2期41卷 13259-13264页

作者： Maryam Fallahpour Alireza Fatehi Babak N. Araabi Morteza Azizi Control & Intelligent Processing Center of Excellence School of Electrical & Computer Eng. University of Tehran Tehran Iran Advanced Process Automation & Control (APAC) Research Group Electrical Engineering Faculty K. N. Toosi University of Technology Tehran Iran Saveh Cement Co. Saveh Iran

In this paper, we design a neurofuzzy controller to control several variables of a rotary cement kilns. The variables are back-end temperature, pre-heater temperature, oxygen content and CO2 gas content of the kiln. The fuzzy control system, as an advanced control option for the kilns, is intended to minimize the operator interaction in the control process. The proposed fuzzy controller uses a neural network to optimize TSK-type fuzzy controller. Since there is no generally applicable analytical model for cement kilns, we use the real data derived from Saveh cement factory for the plant identification. A model, which is very similar to the real plant, is identified then; and the identified model is used for control design and simulations. Extensive simulation studies justify the effectiveness and applicability of the proposed control scheme in intelligent control of cement plant.

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A Fine Excision ATLS Manual No Longer Defines Trauma as a Surgical Disease

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ANNALS OF EMERGENCY MEDICINE 2010年第3期55卷 20A-24A页

作者： Millard, William B. The new 8th edition of the Advanced Trauma Life Support (ATLS) course manual contains a small but significant change. The phrase “trauma is a surgical disease” long a point of contention with other specialties caring for trauma patients has been removed. Now used in over 50 countries as the basis for training in the initial assessment and management of trauma this publication reflects the research and clinical experience of the American College of Surgeons (ACS) Committee on Trauma and expresses that organization's philosophy toward triage diagnosis and clinical care. Astute readers of the ATLS materials have noticed that a certain message is conspicuous by its absence. The preface to the 7th edition of the ATLS describes the ACS's role as follows: In accordance with that role and recognizing that trauma is a surgical disease the ACS Committee on Trauma (COT) has worked to establish guidelines for the care of the trauma patient. The 8th edition includes a substantially similar sentence minus the crucial phrase on trauma as a “surgical disease.” John B. Kortbeek MD FACS professor of surgery and critical care at the University of Alberta and a member of the COT who was instrumental in the revision process for the manual confirms that the deletion is intentional. Dr. Kortbeek explains the change in historical terms. “The intent of making that statement” he says “was to emphasize that to have a successful trauma system and a successful trauma hospital surgeons needed to be included in the management team and the care of the trauma patient. That remains true today. What changed over time is that that statement became a focal point and could be interpreted in varying ways including in a negative exclusive way suggesting that only surgeons should be managing trauma patients which is not correct and never was the intent of the statement.” The ATLS he says presents a “common language” for a safe and effective response to trauma not a mandatory formula. Harmonious relations among the various spe

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