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Asian control Conference

作者： Sy Najib Sy Salim Z. H. Ismail M. F. Rahmat A. A. M. Faudzi N. H. Sunar Sharatul Izah Samsudin Department of Control Instrumentation and Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Malaysia Department of Control and Mechatronic Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Malaysia Centre for Artificial Intelligence & Robotics (CAIRO) Universiti Teknologi Malaysia Kuala Lumpur Malaysia Department of Industrial Electronics Faculty of Electronics and Computer Engineering Universiti Teknikal Malaysia Melaka Malaysia

This paper investigates several control strategies that potential to perform well in regulating and tracking set point of pneumatic actuator system and able to reject disturbance. The system consists of 5-port proportional valve with the dead-band flow and double rod cylinders that exhibit significant friction. Two control strategies of PID and NPID controllers with four different configurations with and without dead-zone compensators (DZC) are simulated. Three different input signals including step, sinusoidal and random waveforms are used to evaluate the performance of the proposed techniques. The effectiveness of NPID+DZC has been successfully demonstrated and proved through simulation and experimental studies.

关键词： Friction Pneumatic actuators Valves Simulation Pneumatic systems Force

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Predictive model reference control based on discrete laguerre network with integrator

Predictive model reference control based on discrete laguerr...

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International Conference on Process control (PC)

作者： J. Škultéty E. Miklovičová R. Bars Faculty of Electrical Engineering and Information Technology Slovak University of Technology Bratislava Slovakia Department of Automation and Applied Informatics Control Engineering Research Group of the HAS Budapest University of Technology and Economics Budapest Hungary

In the paper predictive model reference control based on Laguerre network using the closed loop with integrator is presented. The performances of this control structure are compared with those of the internal model co... 详细信息

关键词： Predictive models control design Liquids Mathematical model Simulation Adaptation models

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Solid state MPI: Imaging of iron oxide nanoparticles embedded in polyurethane

Solid state MPI: Imaging of iron oxide nanoparticles embedde...

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International Workshop on Magnetic Particle Imaging (IWMPI)

作者： J. Rahmer H. Rahn F. Henrich S. Odenbach B. Gleich J. Borgert Innovative Technologies Philips Technologie GmbH Forschungslaboratorien Hamburg Germany Faculty of Mechanical Engineering Chair of Magnetofluiddynamics Measuring and Automation Technology Dresden Technische Universität Dresden Germany

MPI of particles embedded in solid materials is feasible. For improved image quality, particles with better MPI performance should be used for incorporation, so that the iron concentration can be reduced. Solid state ... 详细信息

关键词： Iron Nanoparticles Phantoms Magnetic field measurement Solids

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Enhancement of practical applicability of optimal control of a nonlinear process

Enhancement of practical applicability of optimal control of...

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American control Conference (ACC)

作者： Matej Pčolka Sergej Čelikovský Department of Control Engineering (DCE) Faculty of Electrical Engineering (FEE) Czech Technical University in Prague Praha Czech Republic Institute of Information Theory and Automation Academy of Sciences of Czech Republic Praha Czech Republic

This paper makes a step towards practical applicability of the optimal control for industrial penicillin production. Using the nonlinear gradient method as the key optimization tool, two ways of measurement feedback incorporation into the optimization procedure are proposed. Firstly, the receding horizon approach (whose linear variant is widely spreading in the field of operation of various industrial processes) is investigated considering different lengths of optimization horizon. Secondly, the shrinking horizon approach inspired by the character of the solved task with terminal criterion is examined. In order to make the latter comparable to the receding horizon approach, various sampling periods of the input signal are considered. Utilization of the nonlinear continuous time model of the controlled process clearly distinguishes this paper from the earlier publications. The behavior of both approaches is tested on a set of numerical experiments with the focus on performance under constrained computational resources. The obtained results demonstrate the superiority of shrinking horizon approach and its strong computational restriction resistance.

关键词： Optimal control Gradient methods Optimized production technology Antibiotics Feeds

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Broken bar detection using current analysis — A case study

Broken bar detection using current analysis — A case study

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IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)

作者： Dragan Matić Željko Kanović Dejan Reljić Filip Kulić Dura Oros Veran Vasić Sub-department for Automatic Control and Systems Engineering Faculty of Technical Sciences University of Novi Sad Serbia Chair of Power Electronics and Converters Faculty of Technical Sciences University of Novi Sad Serbia

This paper covers a case study of broken bar detection for 3.15 MW motor in a thermal power plant application. The motor current is measured in one phase. Feature extraction is based on transient and steady state analysis. Hilbert and Wavelet transforms are used to extract broken bar features. To discuss rotor condition in time domain skewness and kurtosis of current envelope are also considered. Low shaft-load conditions are present. In case of high-voltage, high-power induction motor reliable broken bar detection is possible when contemporary digital signal processing techniques are used.

关键词： Induction motors Rotors Educational institutions Feature extraction Transforms Bars Fault detection

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Nonlinear analysis of dynamical complex networks 2014

Abstract and Applied Analysis

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Abstract and Applied Analysis 2014年第SI42期2014卷 1-4页

作者： Wang, Zidong Shen, Bo Dong, Hongli Hu, Jun He, Xiao Ding, Derui Department of Computer Science Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Communication Systems and Networks (CSN) Research Group Faculty of Engineering King Abdulaziz University Jeddah 21589 Saudi Arabia School of Information Science and Technology Donghua University Shanghai 200051 China College of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Applied Mathematics Harbin University of Science and Technology Harbin 150080 China Department of Automation Tsinghua University Beijing 100084 China Department of Applied Mathematics Anhui Polytechnic University Wuhu 241000 China

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A data-driven approach for sensor fault diagnosis in gearbox of wind energy conversion system

A data-driven approach for sensor fault diagnosis in gearbox...

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International Conference on control and automation (ICCA)

作者： Minjia Kruger Steven X. Ding Adel Haghani Peter Engel Torsten Jeinsch Institute for Automatic Control and Complex System Faculty of Engineering University Duisburg-Essen Duisburg Germany PC-Soft GmbH Senftenberg Germany Institute of Automation University of Rostock Rostock Germany

Due to the increase in worldwide energy demand, wind energy technology has been developed rapidly over the past years. With a fast growing of wind power installed capacity, an efficient monitoring system for wind energy conversion system (WEC) is required to ensure operational reliability, high availability of energy production and at the same time reduce operating and maintenance (O&M) costs. The state of the art methodologies for WEC condition monitoring are signal analysis, observer-based approach, neural networks, etc. In this paper, an effective and easy adaptable multivariate data-driven method for wind turbine monitoring and fault diagnosis is introduced, which consists of three parts: 1) off-line training process 2) on-line monitoring phase 3) on-line diagnosis phase. The performance of this method is validated for detection of sensor abnormalities that have occurred in real wind turbines.

关键词： Monitoring Wind turbines Principal component analysis Generators Indexes Temperature measurement Wind energy

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Identification and self-tuning control of electro-pneumatic actuator system with control valve

Identification and self-tuning control of electro-pneumatic ...

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IEEE International Conference on System engineering and Technology

作者： N. H Sunar M. F. Rahmat Ahmad'Athif Mohd Faudzi Z. H. Ismail Sy Najib Sy Salim Dept. of Mechatronics and Control Engineering Universiti Teknologi Malaysia Johor Malaysia Universiti Teknologi Malaysia Skudai Johor MY Center for Artificial Intelligence and Robotic Universiti Teknologi Malaysia Kuala Lumpur Malaysia Dept. of Control Instrument and Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Malaysia

In this paper, a mathematical modeling of pneumatic actuator system is developed by using RLS algorithm. An ARX model is chosen for the model structure. In order to cater the time-varying parameter of pneumatic system, a self-tuning controller is implemented based on the pole-assignment controller. An online RLS algorithm update the parameter estimation at every sample interval. The pole-assignment control parameter is then updated accordingly to the changes of the system parameters. Result of the system performance is compared with the conventional PID controller optimized by PSO algorithm. It is observed that the self-tuning controller performed well with almost zero error at steady state condition and overshoot less than 1%.

关键词： Mathematical model System identification Pneumatic systems Data models Conferences

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Displacement prediction of landslide based on PSOGSA-ELM with mixed kernel

Displacement prediction of landslide based on PSOGSA-ELM wit...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Cheng Lian Zhigang Zeng Wei Yao Huiming Tang School of Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry China School of Computer Science South-Central University for Nationalities Wuhan China Faculty of Engineering China University of Geosciences Wuhan China

The prediction of landslide displacement is essential for carrying out to improve the disaster warning system and reduce casualties and property losses. This study applies a novel neural network technique, extreme learning machine (ELM) with kernel function, to landslide displacement prediction problem. However, the generalization performance of ELM with kernel function depends closely on the kernel types and the kernel parameters. In this paper, we use a convex combination of Gaussian kernel function and polynomial kernel function in ELM, which may use these two types of kernel functions' advantages. In order to avoid blindness and inaccuracy in parameter selection, a novel hybrid optimization algorithm based on the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) is used to optimize the regularization parameter C, the Gaussian kernel parameter γ, the polynomial kernel parameter q and the mixing weight coefficient η. The performance of our model is verified through two case studies in Baishuihe landslide and Yuhuangge landslide.

关键词： Kernel Terrain factors Optimization Hazards Reservoirs Training Support vector machines

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Realizing system poles identification on the unit disc based on Laguerre representations and hyperbolic metrics

Realizing system poles identification on the unit disc based...

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Mediterranean Conference on control and automation (MED)

作者： Alexandros Soumelidis József Bokor Ferenc Schipp Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary MTA-BME Control Engineering Research Group Budapest University of Technology and Economics Budapest Hungary Department of Numerical Analysis Faculty of Informatics Eotvos Lorand University Budapest Hungary

ISBN: (纸本)9781479909964

In a series of paper the authors proposed a new frequency-domain approach to identify poles in discrete-time linear systems. The discrete rational transfer function is represented in a rational Laguerre-basis, where the basis elements are expressed by powers of the Blaschke-function. This function can be interpreted as a congruence transform on the Poincaré unit disc model of the hyperbolic geometry. The identification of a pole is given as a hyperbolic transform of the limit of a quotient-sequence formed from the Laguerre-Fourier coefficients. In this paper the opportunities of reliably computing the poles are analyzed, and some algorithms are proposed for practical use.

关键词： Convergence Estimation Transforms Transfer functions Measurement Geometry Hafnium

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