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The Mimo Predictive Pid controller Design

Asian Journal of control 2008年第4期4卷

作者： M.H. Moradi M.R. Katebi M.A. Johnson Department of Electronic and Electrical Engineering University of Strath-clyde Glasgow GI 1QE UK. Dr. Moradi is a Lecturer in the Department of Electronic and Electrical Engineering University of Bu-Ali Sina in Iran. He obtained the BSc and MSc in 1991 and 1993 from the Sharif University of Technology and Tarbiat Modarres University respectively. Dr. Moradi joined the Bu-Ali Sina University in 1993. In 2002 he obtained his PhD degree from the University of Strath-clyde Glasgow Scotland. His theoretical research interests include predictive PID control advanced classical control generalised predictive control system identification and fault monitoring robust control design computer networks and more recently control through networks. His industrial interests are in the areas of large-scale systems especially power systems and power plant modelling and control supervisory control and process control. Dr. Moradi has published a number of Journal and Conference papers. Dr. Katebi is a senior lecturer in the Department of Electronic and Electrical Engineering University of Strathclyde. His theoretical research interests are currently focused on Non-linear Control and Filtering for Complex Systems Autonomous Control Design System integration and Fault monitoring and Reconfiguration Plant Monitoring through the Internet Discrete Event Simulation Process Optimisation and Robust Control Design. The industrial research interests are in the area of Hot and Rolling for Steel and Aluminium Power Plant Modelling and Control Marine Control Systems Process Control and Wastewater Treatment Control. Dr Katebi is the author/co-author of four books and more than 150 papers and industrial reports. Professor Johnson's academic education began at Coventry University (1969) and continued under the supervision of Professor Greyham Bryant in the field of Control Systems at Imperial College London. He obtained the DIC MSc and PhD from Imperial College leaving for industry in 1978. Subsequent experience was in the

This paper is concerned with the design of Multi-Inputs and Multi-Outputs (MIMO) predictive PID controllers, which have similar performance to that obtainable from model-based predictive controllers. A new PID control structure is defined which incorporates the prediction of future outputs and uses future set point. A method is proposed to calculate the optimal values of the PID gains from generalised predictive control results. A decentralized version of the predictive PID controllers is presented and the stability of the closed loop system is studied. Simulation studies demonstrate the superior performance of the proposed controller compared with a conventional PID controller. The results are also compared with generalised predictive control solutions.

关键词： PID control design predictive PID MIMO controller optimisation

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Implementation of a synchronous learning environment

Implementation of a synchronous learning environment

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MIPRO 2007 - 30th Jubilee International Convention: Computers in Education

作者： Shinde, Prashant Kuljaca, Ognjen Horvat, Krunoslav Department of Advanced Technologies Systems Research Institute Alcorn State University 1000 ASU Drive #360 Alcorn State MS 39096 United States Brodarski Institute Control Engineering Department Av. V. Holjevca 20 10020 Zagreb Croatia

ISBN: (纸本)9789532330298

Alcorn State University (ASU) implemented Elluminate Live! and Blackboard Learning System to deliver online courses. Blackboard provides an asynchronous learning environment and Elluminate Live! offers a synchronous learning environment where students can "enter" the virtual classroom using the University provided username/password and actively participate in real-time in classroom proceedings. Faculty members can record the classroom sessions which are available to students for later viewing. The synchronous environment technology works efficiently over low speed dialup links and high speed LAN links and is integrated with an existing asynchronous Blackboard Learning System. The system was also tested with Brodarski Institute, Croatia for on-line conferencing and employee education. © 2007 by MIPRO. All rights reserved.

关键词： Students

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A CAN and OSEK NM based siren for automobiles

A CAN and OSEK NM based siren for automobiles

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2007 IEEE International Conference on Networking, Sensing and control, ICNSC'07

作者： Qiao, Xin Wang, Zhixue Sun, Yuan He, Feng Wang, Fei-Yue IEEE Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences CO 100080 Beijing China Institute of Computing Chinese Academy of Sciences CO 100080 Beijing China Key Laboratory for Complex Systems and Intelligence Science Chinese Academy of Sciences Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson AZ 85719 United States

ISBN: (纸本)1424410762

Today, more and more Electronic control Units have been installed in vehicle, and controller Area Network is one of the most widely used networks to connect these ECUs, also the architecture of OSEK is increasingly employed into the design of individual ECU and the network. In this paper, we propose a new framework to design the ECU with limited-storage-space. In the framework, an infinite cycle acts as a mainframe, and the code conforming to OSEK NM is inserted into the cycle. A siren of vehicle is developed with this method, and a Hardware-In-Loop test is accomplished. The results show that the framework is available, and the real-time performance of the siren is satisfied. © 2007 IEEE.

关键词： Intelligent vehicle highway systems

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The model-free learning adaptive control for DC motor rotate speed systems

The model-free learning adaptive control for DC motor rotate...

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26th Chinese control Conference, CCC 2007

作者： Cao, Rongmin Hou, Zhongsheng Huang, Jian Department of Computer and Automation Beijing Institute of Machinery Industry Beijing 100085 China Advanced Control Systems Laboratory Beijing Jiaotong University Beijing 100044 China

ISBN: (纸本)7900719229

The model-free learning adaptive control (MFLAC) approach of a class of SISO nonlinear discrete-time systems based on linearization of tight format is applied to DC motor rotate speed systems . The design of controller is model-free, based directly on pseudo-partial-derivatives (PPD) derived on-line from the input and output information of the motor motion system using novel parameter estimation algorithms. Hardware system is implemented by Data Acquisition (DAQ) to control DC motor. Conjuncted general PC to DAQ and controlled DAQ to produce Pulse-Width Modulation(PWM) wave which drive the IGBT circuit to control DC *** effectiveness and the robustness are demonstrated for the DC motor nonlinear systems which are known to be difficult to model and control by simulation and real-time application experiment examples.

关键词： Adaptive control systems

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A Far-Range Off-line Camera Calibration Method for Stereo Lane Detection systems

A Far-Range Off-line Camera Calibration Method for Stereo La...

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IEEE Instrumentation and Measurement Technology Conference

作者： Andras Bodis-Szomoru Tamas Daboczi Zoltan Fazekas Department of Measurement and Information Systems Budapest University슠of슠Technology슠and슠Economics Hungary Systems and Control Laboratory Computer and Automation Research Institute Hungary

A far-range camera calibration method for vision sensors used in automatic lane detection systems is investigated. Autonomous vehicle guidance based on stereo image acquisition requires the knowledge of the camera parameters, such as camera position, orientation, lens distortion, focal length etc. with high precision. Calibration is performed by placing markers in known positions in front of the vehicle holding the camera(s) and by detecting the location of their images in the acquired snapshots. The parameters are then estimated by minimizing the geometric error in the image. Most of the methods discovered in the literature do not consider errors in the measurement of marker locations. However, a precise marker arrangement for far-range calibration might be expensive to set up. This paper shows that imprecision in the 3D location of the markers can not be tolerated in some practical situations and in such cases, a different optimization is proposed in the calibration of the extrinsic camera parameters (camera position and orientation). A position estimation method is also shown to extract marker positions from far-range laser distance meter measurements. The estimated marker positions are corrected by considering aiming errors, as well. Parameter errors are also estimated. It will be shown that our new calibration and optimization method is expected to result a good accuracy compared to commercial methods.

关键词： Cameras Calibration Remotely operated vehicles Sensor systems Mobile robots Navigation Lenses Vehicle detection Parameter estimation Position measurement

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A Methodology for Maintenance-Interval Scheduling of Equipment Considering Maintenance Effect

A Methodology for Maintenance-Interval Scheduling of Equipme...

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International Conference on Clean Electrical Power (ICCEP)

作者： T. Zhang M. Nakamura H. Hatazaki Department of Automation Tsinghua University Beijing China Department of Advanced Systems Control Engineering Saga University Saga Japan Kyushu Electric Power Company Inc. Fukuoka Japan

This paper presents a methodology for maintenance-interval scheduling of equipment considering maintenance effect. By means of an operable ordering list of maintenance effects, all elements in a system can be ranked. For different purpose, maintenance intervals of elements can be scheduled as below. In order to reduce maintenance cost remarkably within a scale of system availability decrease, maintenance intervals of some elements with smaller maintenance effects are lengthened to decrease the number of system maintenance; In order to keep original system availability while reducing maintenance cost, maintenance intervals of some elements with larger maintenance effects are shortened to increase system availability, and at the same time maintenance intervals of some elements with smaller maintenance effects are lengthened to decrease the number of system maintenance. Based on this method, the maintenance intervals of equipments in thermal power stations are scheduled by use of the actual data from Kyushu Electric Power Co. of Japan, and thereby the effectiveness of the proposed method is verified. The proposed method can be adopted for many kinds of equipments or systems.

关键词： Job shop scheduling Costs Availability Power generation Mathematical model Power system reliability Predictive maintenance control engineering automation Scheduling algorithm

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Real Time Evaluation of Different Types of Bio-neurological Signals

Real Time Evaluation of Different Types of Bio-neurological ...

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2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

作者： Tao Zhang Takenao Sugi Masatoshi Nakamura Hiroshi Shibasaki Department of Automation Tsinghua University Beijing 100084 China Department of Advanced Systems Control Engineering Saga University Saga 840-8502 Japan Department of Psychosomatic Medicine Takeda Hospital Kyoto Japan

This paper proposes a real time evaluation method for different types of bio-neurological signals. In this method, multiple types of bio-neurological signals can be automatically processed in a single system in real time, including EEG, EMG, EOG, etc. It can display the wave shapes of these signals, calculate the feature parameters, indicate various kinds of artifacts contaminating in the signals, and so on. Therefore, this method not only can pre-process raw bio-neurological signals online, but also can evaluate the signals based on the user's requirement. The output of qualified bioneurological signals can be possibly adopted to assist doctors to interpret bio-neurological signals for judging the diseases or providing any suggestions to subjects. This method can be functionally extended according to the requirement from users.

关键词： Bio-neurological signals real time evaluation EEG EMG EOG

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Robust super-exponential methods for blind deconvolution of MIMO-FIR systems with Gaussian noise

Robust super-exponential methods for blind deconvolution of ...

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15th European Signal Processing Conference, EUSIPCO 2007

作者： Kohno, Kiyotaka Inouye, Yujiro Kawamoto, Mitsuru Department of Electronic and Control Systems Engineering Shimane University 1060 Nishikawatsu Matsue Shimane 690-8504 Japan Information Technology Research Institute National Institute of Advanced Industrial Science and Technology Central 2 1-1-1 Umezono Tsukuba Ibaraki 305-8568 Japan

ISBN: (纸本)9788392134022

The so called "super-exponential" methods (SEMs) are attractive methods for solving multichannel blind deconvolution problem. The conventional SEMs, however, have such a drawback that they are very sensitive to Gaussian noise. To overcome this drawback, the robust super-exponential methods (RSEMs) were proposed for single-input single-output infinite impulse response (SISO-IIR) channels and for multi-input multi-output (MIMO) static channels (instantaneous mixtures). While the conventional SEMs use the second-and higher-order cumulants of observations, the RSEMs use only the higher-order cumulants of observations. Since higher-order cumulants are insensitive to Gaussian noise, the RSEMs are robust to Gaussian noise. We proposed an RSEM extended to the case of MIMO-FIR channels (convolutive mixtures). To show the validity of the proposed RSEM, some simulation results are presented. © 2007 EURASIP.

关键词： Gaussian distribution

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A Study On Iterative Learning control With Adjustment Of Learning Interval For Monotone Convergence In The Sense Of Sup-Norm

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Asian Journal of control 2008年第1期4卷

作者： Kwang-Hyun Park Zeungnam Bien Division of EE Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S. M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.

It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.

关键词： Iterative learning control monotone convergence learning interval sup-norm

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Effect Evaluation of Relaxation Training Based on Nonlinear Parameters of Electroencephalogram Waves

Effect Evaluation of Relaxation Training Based on Nonlinear ...

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2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

作者： L.L. Chen B. Wang J.Z. Zou M. Nakamura Department of Automation East China University of Science and Technology Shanghai 200237 P. R. Ch Department of Advanced Systems Control Engineering Saga University Saga 840-8502 Japan

The purpose of this study is to evaluate the effect of music relaxation and to explore the relationship among visual analog scales, behavior performance and electroencephalogram (EEG) analysis. In the experiments, subjects did mental arithmetic until felt fatigued and then relaxed by listening to classical music. In order to analyze EEG signals, two nonlinear parameters L-Z Complexity and Approximate Entropy were calculated. It was found that different brain states had different nonlinear characteristics.

关键词： Electroencephalography Arithmetic Fatigue Electrodes Data analysis Entropy control engineering Impedance Sampling methods Cutoff frequency

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