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American control Conference

作者： Han Yu Eloy Garcia Panos J. Antsaklis Department of Electrical Engineering University of Notre Dame Notre Dame IN 46556 USA Control Science Center of Excellence Air Force Research Laboratory Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9781479901777

In this paper, we introduce a model-based scheduling strategy to achieve ultimate boundedness stability in the sensor-actuator networked control systems, where the communication network between the sensor and the network controller is subject to time-varying network induced delays and data-packet dropouts. An estimator and a nominal model of the plant are used explicitly at the controller node to generate control action and schedule control action updates. The data transmissions from the sensor to the network controller are "self-triggered" by imposing the scheduling of the data packet transmissions to meet a soft deadline, while the control action updates generated by the network controller are "event-triggered", with a new measurement of the nominal model's state obtained to update control action whenever a triggering condition is satisfied or whenever the state of the nominal model is reset by the estimator.

关键词： Network controller control action Networked control systems networks(communications) control systems data transmission Sensors Packet transmission MODEL PLANTS

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Robust impulsive synchronization of Lorenz chaotic dynamical system with capability of unknown bounded disturbance rejection

Robust impulsive synchronization of Lorenz chaotic dynamical...

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Iranian Conference on electrical engineering (ICEE)

作者： Monireh Mirnezami Hamid Khaloozadeh Faculty of Graduate Studies Department of Electrical Engineering Islamic Azad University Tehran Iran Industrial Control Center of Excellence K. N. Toosi University of Technology Tehran Iran

This paper considers the problem of disturbance rejection in impulsive synchronization of a class of nonlinear chaotic system with unknown parameters. The proposed method is based on the impulsive control approach. Adaptation laws are derived based on Lyapunov synthesis and therefore stability of the closed-loop system is guaranteed. By adding an extra term related to the square error between disturbance and the disturbance estimation in the Lyapunov function the capability of unknown bounded disturbance rejection is proved using Lyapunov direct method of stability. The Lorenz system is simulated to show the superiority of the proposed method and illustrate the theoretical analysis to preserve the stability and performance of the closed-loop system in the presence of the parameters uncertainties and arbitrary bounded disturbances.

关键词： Synchronization Equations Mathematical model Chaotic communication Adaptive systems Lyapunov methods

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A driver face monitoring system for fatigue and distraction detection

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International Journal of Vehicular Technology 2013年第unknown期2013卷 1-11页

作者： Sigari, Mohamad-Hoseyn Fathy, Mahmood Soryani, Mohsen Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran 14399 Iran Computer Engineering Department Iran University of Science and Technology Tehran 16846 Iran

Driver face monitoring system is a real-time system that can detect driver fatigue and distraction using machine vision approaches. In this paper, a new approach is introduced for driver hypovigilance (fatigue and distraction) detection based on the symptoms related to face and eye regions. In this method, face template matching and horizontal projection of top-half segment of face image are used to extract hypovigilance symptoms from face and eye, respectively. Head rotation is a symptom to detect distraction that is extracted from face region. The extracted symptoms from eye region are (1) percentage of eye closure, (2) eyelid distance changes with respect to the normal eyelid distance, and (3) eye closure rate. The first and second symptoms related to eye region are used for fatigue detection;the last one is used for distraction detection. In the proposed system, a fuzzy expert system combines the symptoms to estimate level of driver hypo-vigilance. There are three main contributions in the introduced method: (1) simple and efficient head rotation detection based on face template matching, (2) adaptive symptom extraction from eye region without explicit eye detection, and (3) normalizing and personalizing the extracted symptoms using a short training phase. These three contributions lead to develop an adaptive driver eye/face monitoring. Experiments show that the proposed system is relatively efficient for estimating the driver fatigue and distraction. © 2013 Mohamad-Hoseyn Sigari et al.

关键词： HUMAN face recognition (Computer science) COMPUTER vision FUZZY systems ESTIMATION theory SYSTEMS theory FACE perception

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Optimized real-time soft analyzer for chemical process using artificial intelligence

Optimized real-time soft analyzer for chemical process using...

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Asian control Conference

作者： Mohammad Mahdi Karimi Alireza Fatehi Reza Ebrahimpour Ali Shamsaddinlou APAC research group Department of ControlEngineering Shahid Rajaee Teacher Training University Tehran Iran APAC research group Industrial Control Center of Excellence Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran Department of Electrical and Computer Engineering Shahid Rajaee Teacher Training University Tehran Iran

ISBN: (纸本)9781467357661

This paper concerns application of data-derived approaches for analyzing and monitoring chemical process instruments, extracting product information, and designing estimation models for primary process variables, or difficult to measure in real-time variables. Modeling of process with an optimized classical neural network, the multi-layer perceptron (MLP) is discussed. Tennessee Eastman Process, a well-known plant wide process benchmark, is applied to validate the proposed approach. Investigations and several algorithms as step response test, Lipschitz number method and forward selection are used. The main advancement introduced here is that a hierarchical level responsible strategy is applied for selection of input variables and respective efficient time delays to attain the highest possible prediction accuracy of the neural network model for industrial process identification.

关键词： Delay effects Process control Algorithm design and analysis Delays Biological system modeling Training Estimation

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Improving Direct Load control Implementation by an Inititative Load control Method

Improving Direct Load Control Implementation by an Inititati...

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Conference on electrical Power Distribution Networks

作者： Mohammad Rastegar Mahmud Fotuhi-Firuzabad Moein Moeini-Aghtaie Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9781479900923

Demand response (DR) as a state-of-the-art program is accommodated in the energy efficiency contexts of the smart grid. Lack of the customer knowledge about how to respond to the time-differentiated tariffs and offered controlling signals is the major obstacle in the way of broad DR implementing. As a solution, an optimization method, namely load control (LC), is proposed to automatically control the on/off status of the responsive appliances in a smart home. This paper focuses on the direct load control (DLC) program in the category of incentive-based DR programs. LC is extended to consider inconvenience cost of the DLC implementation for DLC program participants. Outputs of the extended LC would be an advice for the customer to determine whether it is financially profitable to participate in the offered DLC program or not. Numerical studies are effectuated to investigate different features of the LC and DLC program.

关键词： Direct load control demand response load control smart grid

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Post Optimal Analysis application on the reliability evaluation of the Iran power grid

Post Optimal Analysis application on the reliability evaluat...

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2012 11th International Conference on Environment and electrical engineering, EEEIC 2012

作者： Safdarian, Amir Fotuhi-Firuzabad, Mahmud Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9781457718281

Access to a computational tractable method for representing the system more realistically has always been an important issue in power system reliability assessment. The Post Optimal Analysis (POA), as a well recognized technique to attack a set of similar optimization problems, has been successfully used to assess the reliability of composite systems. This method exploits the similarity of the system states to speed up the contingency evaluation procedure without sacrificing the accuracy of the results. In this paper, the performance and practical feasibility of the POA technique for power system reliability evaluation is tested using the Iran power grid. The POA based approach is applicable in both sorts of state sampling methods namely analytical enumeration (AE) and Monte Carlo simulation (MCS). Considering the dimension of the Iran power grid, in this paper system states are sampled using the MCS approach. In the simulations, a diverse range of reliability indices at both overall system and individual load point levels are computed with/without POA accommodation. The accuracy and execution time associated with the POA based method are compared with those obtained using the conventional method. Although considerable efforts have been devoted to collect and compile equipments performance data in the Iran grid data collection system, the uncertainty in the availability data of components is inevitable. Accordingly, a sensitivity analysis is carried out to investigate the effects of possible errors in equipments forced outage rates (FORs). The impacts on system risk of different peak load levels are also investigated. © 2012 IEEE.

关键词： Sensitivity analysis

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Impacts of plug-in hybrid electric vehicle uncertainty and grid unavailability on home load management

Impacts of plug-in hybrid electric vehicle uncertainty and g...

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2012 11th International Conference on Environment and electrical engineering, EEEIC 2012

作者： Rastegar, Mohammad Safdarian, Amir Fotuhi-Firuzabad, Mahmud Aminifar, Farrokh Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9781457718281

A massive focus has recently been made on demand response (DR) programs, aimed to the electricity price reduction, reliability improvement, and energy efficiency. Basically, DR programs are divided into twofold main categories, namely incentive-based programs and price- or time-based programs. The focus of this paper is on priced-based DR programs including consumer responses to the time differentiated pricing. Home load management (HLM) program is designed to control responsive appliances and charging/discharging cycles of plug-in hybrid electric vehicles (PHEVs) by the consumer. Uncertain parameters associated with PHEV, i.e. its departure/travelling time and energy consumption as well as the grid unavailability in serving the loads are incorporated in the proposed probabilistic HLM model. Numerical simulations are conducted to illustrate the investigated notions and to verify the advantages of the developed model. © 2012 IEEE.

关键词： Energy utilization

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Impacts of controlled and uncontrolled PHEV charging on distribution systems

Impacts of controlled and uncontrolled PHEV charging on dist...

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9th IET International Conference on Advances in Power System control, Operation and Management, APSCOM 2012

作者： Shafiee, Soroush Fotuhi-Firuzabad, Mahmud Rastegar, Mohammad Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9781849197434

Plug-in hybrid electric vehicle (PHEV) technology provides one of the most promising solutions to tackle the threatening challenges such as air pollution in urban areas. Dramatic increases in the number of PHEVs could have major impacts on power system operations because of their high electricity demand. From the distribution system operator facet, distribution system congestion during PHEVs charging is an economic and security concern. It is, therefore, necessary to investigate the effects of widespread using of PHEVs on the performance of distribution networks. In this paper, PHEV characteristics are exactly studied and a comprehensive model for investigation of PHEV impacts is achieved. The results would likely demonstrate distribution congestion arising from using PHEVs. controlled charging of PHEVs is a possible solution to the distribution congestion problem. In this work, optimal charging algorithm is developed which minimizes the electrical charging payment of customers. The optimization problem is solved by energy schedulers in each home. The output of the problem is the charging level for PHEVs in each period of the scheduling time. Results illustrate that due to noticeable likeness between the load behavior and tariffs, minimizing customer cost would likely lead to shave peak load and prevent distribution congestion.

关键词： Plug-in hybrid vehicles

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A novel method to assess distribution system reliability considering smart solar cell

A novel method to assess distribution system reliability con...

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2nd Iranian Conference on Smart Grids, ICSG 2012

作者： Rastegar, Mohammad Fotuhi-Firuzabad, Mahmud Safdarian, Amir Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9781467313995

One of the most important issues in the smart grid is to quantitatively assess the impacts of distributed energy resources (DER) on the distribution system reliability. Solar cells (SCs) as developing DERs are normally placed close to the load centers. In this paper, a new algorithm is developed to evaluate distribution system reliability, considering SCs in the vicinity of the end-users. The probabilistic nature of the demand and SC power output are investigated to solve challenges of integrating these intermittent resources with the distribution system. In a smart home, to handle the variation of SC generation, solar load controller (SLC) is utilized to match load and generation of SCs during the islanding mode. Harmonizing load and generation by SLC may cause continual fluctuation in the on/off mode of appliances. In this paper, a structure is proposed to supply the critical load throughout periods in which SC cannot supply the entire associated demand. Simulation results reveal that the proposed method outperforms the conventional one, particularly from the accuracy points of view, while keeping the simplicity and elegance in a reasonable range. Numerical simulations are investigated to verify the miscellaneous aspects of the proposed approach. © 2012 Amirkabir Univ of Tech.

关键词： Solar cells

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Stochastic unit commitment of wind farms based on mixed-integer linear formulation

Stochastic unit commitment of wind farms based on mixed-inte...

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2012 IEEE PES Innovative Smart Grid Technologies, ISGT 2012

作者： Mostafa Esmaeeli, Sh. Kazemi, A. Center of Excellence for Power Systems Control and Operation Department of Electrical Engineering Iran University of Science and Technology Tehran Iran

ISBN: (纸本)9781457721588

Due to uncertainty of wind velocity, wind power generators don't have deterministic output power. Utilizing wind power generation and thermal power plants together create new concerns for operation engineers of power systems. In this paper, a model is presented to implement the uncertainty of load and generated wind power which can be utilized in power system operation planning. Stochastic behavior of parameters is simulated by generating scenarios that can be solved by deterministic method. A mixed-integer linear programming method is used for solving deterministic generation scheduling problem. The proposed approach is applied to a 12-unit test system including 10 thermal units and 2 wind farms. The results show effectivity of piecewise linear model in unit commitment problems. Also using linear programming causes a considerable reduction in calculation times and guarantees convergence to the global optimum. Neglecting the uncertainty of wind velocity causes higher cost assessment of generation scheduling. © 2012 IEEE.

关键词： Wind farm

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