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Stress Testing Data Access via a Web Service for Determination of Adequate Server Hardware for Developed Software Solution

Stress Testing Data Access via a Web Service for Determinati...

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International Conference on computer engineering and Applications (ICCEA)

作者： Leona Motalova Ondrej Krejcar Center of Applied Cybernetics Department of Measurement and Control Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424460793

The aim of this project is stress testing of the system for data management and planning of the operations developed for home care agencies which has to be upgrading of the current system based on the older database of Microsoft Access product. The part of the system is a mobile application that allows employees to edit the records of patients directly in the terrain. The whole system, including applications developed for the stress testing is based on Microsoft technology .NET. Our Stress Testing application allows testing a selected problem areas to find any limitations before the tested developing solution will be set up at customer. By the help of our test application, the hardware solution for the server was selected on the base of selected home care agency needs.

关键词： Stress Software testing Web services Hardware Databases System testing Displays Random number generation Time factors Time measurement

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Parameter identification of a linear permanent magnet motor using particle swarm optimization

Parameter identification of a linear permanent magnet motor ...

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7th Annual International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Therdbankerd, Tithiwat Sanposh, Peerayot Chayopitak, Nattapon Fujita, Hideaki Department of Electrical Engineering Intelligent Mechatronics Automation Robotics and Control Laboratory Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-18 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.

关键词： Parameter estimation

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An integrated control of shading blinds, natural ventilation, and HVAC systems for energy saving and human comfort

An integrated control of shading blinds, natural ventilation...

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2010 IEEE International Conference on Automation Science and engineering, CASE 2010

作者： Sun, Biao Luh, Peter B. Jia, Qing-Shan Jiang, Ziyan Wang, Fulin Song, Chen Tsinghua University Beijing 100084 China Department of Electrical and Computer Engineering University of Connecticut Storrs CT United States Department of Building Science Tsinghua University Beijing 100084 China United Technology Research Center China Tsinghua-UTC Research Institute for Integrated Building Energy Safety and Control Systems Beijing 100084 China

ISBN: (纸本)9781424454471

Improving the control of shading blinds, lights, natural ventilation, and HVAC systems while satisfying human comfort requirements can result in significant energy cost savings with time-of-day electricity pricing. Traditionally, the above-mentioned devices are controlled separately. In this paper, a novel formulation for the integrated control and the corresponding solution methodology are presented. The problem is to minimize daily energy costs of lights and HVAC systems while satisfying equipment capacities, system dynamics, and human comfort. The problem is complicated since 1) individual rooms are coupled as they compete for the HVAC with limited capacity and nonlinear characteristics, and 2) the problem is believed to be NP-hard in view that decision variables are all discrete. A solution methodology that combines Lagrangian relaxation and stochastic dynamic programming is developed within the surrogate optimization framework to obtain near-optimal strategies. These strategies are further refined to become novel control rules for easy practical implementation. Numerical simulation results show that both of the above strategies can effectively reduce the total energy cost, and that the integrated control works better than selected traditional control strategies. © 2010.

关键词： Integrated control

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Closed-loop Voltage control of a Parallel-plate MEMS Electrostatic Actuator

Closed-loop Voltage Control of a Parallel-plate MEMS Electro...

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American control Conference

作者： Lili Dong Jason Edwards Department of Electrical & Computer Engineering Cleveland State University Cleveland OH 44115 USA NASA Glenn Research Center Cleveland OH 44135 USA

ISBN: (纸本)9781424474264

This paper addresses the control problem of extending the travel range of a MEMS electrostatic actuator through a closed-loop voltage control scheme. Since the electrostatic actuator is inherently unstable due to its pull-in limit, one of the major control goals is to stabilize the actuator system beyond the limit. In addition, the controller has to be robust against external disturbances and noise. After comparing and analyzing the advanced controllers being reported, an active disturbance rejection controller (ADRC) is originally employed to the micro actuator to solve the control problem. The ADRC mainly consists of an extended state observer (ESO) and a PD controller. The ESO is used to estimate system states and the external disturbance, which can be taken as an augmented state of the ESO. The PD controller based on the observed states drives the displacement output of the actuator to a desired level. The ADRC is successfully simulated onto a parallel-plate electrostatic actuator. The simulation results verified the effectiveness of the controller through extending the travel range of the actuator to 99percent of the initial gap between two plates in the presences of noise and disturbance.

关键词： Electrostatic actuator MEMS ADRC ESO stability robustness Electrostatic actuators Traverse grinding external disturbance actuator system controllers actuators Voltage regulation microactuators initial gap Robustness

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On the optimal solutions of the infinite-horizon linear sensor scheduling problem

On the optimal solutions of the infinite-horizon linear sens...

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IEEE Conference on Decision and control

作者： Wei Zhang Michael P. Vitus Jianghai Hu Alessandro Abate Claire J. Tomlin Department of Electrical Engineering and Computer Sciences University of California Berkeley USA Department of Aeronautics and Astronautics University of Stanford CA USA School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Delft Center of Systems and Control Delft University of Technnology Netherlands

This paper studies the infinite-horizon sensor scheduling problem for linear Gaussian processes with linear measurement functions. Several important properties of the optimal infinite-horizon schedules are derived. In particular, it is proved that under some mild conditions, both the optimal infinite-horizon average-per-stage cost and the corresponding optimal sensor schedules are independent of the covariance matrix of the initial state. It is also proved that the optimal estimation cost can be approximated arbitrarily closely by a periodic schedule with a finite period, and moreover, the trajectory of the error covariance matrix under this periodic schedule converges exponentially to a unique limit cycle. These theoretical results provide valuable insights about the problem and can be used as general guidelines in the design and analysis of various infinite-horizon sensor scheduling algorithms.

关键词： Schedules Covariance matrix Trajectory Optimal scheduling Estimation Scheduling Processor scheduling

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A prediction- and cost function-based algorithm for robust autonomous freeway driving

A prediction- and cost function-based algorithm for robust a...

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IEEE Symposium on Intelligent Vehicle

作者： Junqing Wei John M. Dolan Bakhtiar Litkouhi Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Robotics Institute and the Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA GM-CMU Autonomous Driving Collaborative Research Laboratory GM Research and Development Center Warren MI USA

In this paper, a prediction- and cost function-based algorithm (PCB) is proposed to implement robust freeway driving in autonomous vehicles. A prediction engine is built to predict the future microscopic traffic scenarios. With the help of a human-understandable and representative cost function library, the predicted traffic scenarios are evaluated and the best control strategy is selected based on the lowest cost. The prediction- and cost function-based algorithm is verified using the simulator of the autonomous vehicle Boss from the DARPA Urban Challenge 2007. The results of both case tests and statistical tests using PCB show enhanced performance of the autonomous vehicle in performing distance keeping, lane selecting and merging on freeways.

关键词： Cost function Robustness Traffic control Remotely operated vehicles Mobile robots Road vehicles Testing Vehicle driving Engines Microscopy

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On the Infinite Horizon Constrained Switched LQR Problem

On the Infinite Horizon Constrained Switched LQR Problem

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2010 49th IEEE Conference on Decision and control

作者： Maximilian Balandat Wei Zhang Alessandro Abate Department of Electrical Engineering and Information Technology Technische Universitat Darmstadt Darmstadt Germany Department of Electrical Engineering and Computer Science University of California Berkeley CA USA Delft Center for Systems and Control Technische Universiteit Delft Delft The Netherlands

ISBN: (纸本)9781424477456

This paper studies the Discrete-Time Switched LQR problem over an infinite time horizon subject to polyhedral constraints on state and control input. The overall constrained, infinite-horizon problem is split into two subprob-lems: (i) an unconstrained, infinite-horizon problem and (ii) a constrained, finite-horizon one. We derive a stationary suboptimal policy for problem (i) with analytical bounds on its optimality, and develop a formulation of problem (ii) as a Mixed-Integer Quadratic Program. By introducing the concept of a safe set, the solutions of the two subproblems are combined to achieve the overall control objective. It is shown that, by proper choice of the design parameters, the error of the overall sub-optimal solution can be made arbitrarily small. The approach is tested through a numerical example.

关键词： infinite horizon design parameter discrete-time numerical example optimality

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Selection of optimal EEG channels for classification of signals correlated with alcohol abusers

Selection of optimal EEG channels for classification of sign...

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International Conference on Signal Processing Proceedings (ICSP)

作者： M. Alavash Shooshtari S. Kamaledin Setarehdan Biomedical Engineering Department Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran

Many brain events and disorders can be detected by analyzing electroencephalograms (EEGs). Also the availability of quantitative biological markers that are correlated with qualitative psychiatric phenotypes helps us to utilize automated methods to diagnose and classify these phenotypes. One such a psychiatric phenotype is alcoholism. In this study a method to select an optimal subset of EEG channels for the purpose of practical classification of alcohol abusers from normal subjects is proposed, which is based on combination of model-based spectral analysis and correlation matrices. The EEG signals were recorded when the subjects were represented with single trial visual stimuli. The proposed method proved successful in selecting an optimum number of channels which achieved acceptable average classification accuracy.

关键词： Electroencephalography Support vector machines Correlation Visualization Accuracy Feature extraction Brain modeling

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Model Predictive Direct Torque control of permanent magnet synchronous motors

Model Predictive Direct Torque Control of permanent magnet s...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Tobias Geyer Giovanni A. Beccuti Georgios Papafotiou Manfred Morari Department of Electrical and Computer Engineering University of Auckland New Zealand ABB Corporate Research Center Baden-Dattwil Switzerland Automatic Control Laboratory Department of Information Technology and Engineering ETH Zurich Zurich Switzerland

Model Predictive Direct Torque control (MPDTC) is a recent computational control methodology that combines the merits of Model Predictive control (MPC) with the ones of Direct Torque control (DTC). Specifically, with respect to standard DTC, the converter's switching frequency and/or losses are considerably reduced, while at the same time the Total Harmonic Distortion (THD) levels of the phase currents and the torque are improved. Moreover, DTC's favorable dynamic and robustness properties are preserved. This paper presents an MPDTC scheme for a permanent magnet synchronous motor that achieves long prediction horizons in the range of up to 150 time-steps through the use of extrapolation and bounds. A discrete-time internal controller model of the drive system is derived from the physical equations. Simulation results for a three-level voltage source inverter indicate that such an MPDTC scheme, compared to an industry standard controller, is capable of reducing the switching losses and the switching frequency by up to 50%, and the torque THD by 25%, while leaving the current THD unchanged.

关键词： Switches Inverters Stators Switching frequency Mathematical model Predictive models

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Nonlinear Model Predictive control using sampling and goal-directed optimization

Nonlinear Model Predictive Control using sampling and goal-d...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Damion D. Dunlap Charmane V. Caldwell Emmanuel G. Collins Department of Mechanical Engineering and the Center for Intelligent Systems Control and Robotics (CISCOR) Florida Agricultural and Mechanical University Tallahassee FL USA Department of Electrical and Computer Engineering CISCOR of the FAMU-FSU COE USA Department of Mechanical Engineering CISCOR of the FAMU-FSU COE USA

In this paper a novel method called Sampling-Based Model Predictive control (SBMPC) is proposed as an efficient MPC algorithm to generate control inputs and system trajectories. The algorithm combines the benefits of sampling-based motion planning with MPC while avoiding some of the major pitfalls facing both traditional sampling-based planning algorithms and traditional MPC. The method is based on sampling (i.e., discretizing) the input space at each sample period and implementing a goal-directed optimization method (e.g., A*) in place of standard numerical optimization. This formulation of MPC readily applies to systems with nonlinear dynamics and avoids the local minima which can limit the performance of MPC algorithms implemented using traditional, derivative-based, nonlinear programming. The SBMPC algorithm is compared with a more standard online MPC algorithm using cluttered environment navigation for an Ackerman steered vehicle and a set point problem for a nonlinear, continuous stirred-tank reactor (CSTR).

关键词： Optimization Planning Vehicles Prediction algorithms Trajectory Heuristic algorithms Predictive models

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