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Using an efficient immune symbiotic evolution learning for compensatory neuro-fuzzy controller

IEEE Transactions on Fuzzy Systems 2009年第3期17卷 668-682页

作者： Chen, Cheng-Hung Lin, Cheng-Jian Lin, Ching-Teng Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Department of Computer Science and Information Engineering National Chin-Yi University of Technology Taichung County 411 Taiwan Department of Computer Science National Chiao-Tung University Hsinchu 300 Taiwan Brain Research Center University System of Taiwan Hsinchu 300 Taiwan

This paper presents an efficient immune symbiotic evolution learning (ISEL) algorithm for the compensatory neuro-fuzzy controller (CNFC). The proposed ISEL method includes three major components-initial population, subgroup symbiotic evolution, and immune system algorithm. First, the self-clustering algorithm that determines proper input space partitioning and finds the mean and variance of the Gaussian membership functions and number of rules is applied to the initial population. Second, the subgroup symbiotic evolution method that uses each subantibody represents a single fuzzy rule and the evolution of the rule itself. Third, the immune system algorithm uses the clonal selection principle, such that antibodies between others of high similar degree are canceled, and these antibodies, after processing, will have higher quality, accelerating the search, and increasing the global search capacity. Finally, the proposed CNFC with ISEL (CNFC-ISEL) method is adopted to solve several nonlinear control problems. The simulation results have shown that the proposed CNFC-ISEL can outperform other methods. © 2009 IEEE.

关键词： Immune system

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Designing linear phase FIR filters with particle swarm optimization and harmony search

Designing linear phase FIR filters with particle swarm optim...

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作者： Shirvani, Abdolreza Khezri, Kaveh Razzazi, Farbod Lucas, Caro Computer Engineering Department Islamic Azad University of Tehran Science Research Branch Iran Biomedical Engineering Department Islamic Azad University of Tehran Science Research Branch Iran Electrical Engineering Department Islamic Azad University of Tehran Science Research Branch Iran Electrical and Computer Engineering Department Control and Intelligent Processing Center of Excellence University of Tehran Iran

ISBN: (纸本)9783642105456

In recent years, evolutionary methods have shown great success in solving many combinatorial optimization problems such as FIR (Finite Impulse Response) filter design. An ordinary method in FIR filter design problem is Parks-McClellan, which is both difficult to implement and computationally expensive. The goal of this paper is to design a near optimal linear phase FIR filter using two recent evolutionary approaches;Particle Swarm Optimization (PSO) and Harmony Search (HS). These methods are robust, easy to implement, and they would not trap in local optima due to their stochastic behavior. In addition, they have distinguishing features such as less variance error and smaller overshoots in both stop and pass bands. To prove these benefits, two case studies are presented and obtained results are compared with previous implementations. In both cases, better and reliable results are achieved. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： FIR filters

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Modeling and model reference adaptive control of aircraft with asymmetric damage

Modeling and model reference adaptive control of aircraft wi...

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作者： Liu, Yu Tao, Gang Joshi, Suresh M. Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904 United States NASA Langley Research Center Hampton VA 23681 United States

ISBN: (纸本)9781563479786

This paper addresses some fundamental issues in adaptive control of aircraft with structural damage. It presents a thorough study of linearized aircraft models with damage to obtain new details of system descriptions, such as coupling and partial derivatives of lateral and longitudinal dynamics. A detailed study of system invariance under damage conditions is performed for generic aircraft models to obtain key system characterizations for model reference adaptive control (MRAC), such as infinite zero structure and signs of high frequency gain matrices. A comprehensive study of multivariable MRAC systems in the presence of damage is performed to obtain critical design specifications for adaptive flight control, such as system and controller parametrizations and adaptive parameter update laws. Both analytical and simulation results are given to illustrate the design and performance of adaptive control systems for aircraft flight control. Copyright © 2009 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Model reference adaptive control

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Diagnostic models for sensor measurements in rocket engine tests

Diagnostic models for sensor measurements in rocket engine t...

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IEEE Sensors 2009 Conference - SENSORS 2009

作者： Russell, Michael Lecakes Jr., George Mandayam, Shreekanth Jensen, Scott Department of Electrical and Computer Engineering Rowan University Glassboro NJ 08028 United States NASA - SSC Stennis Space Center MS 39529 United States

ISBN: (纸本)9781424445486

This paper presents our ongoing work in the area of using virtual reality (VR) environments for the Integrated Systems Health Management (ISHM) of rocket engine test stands. Specifically, this paper focuses on the development of an intelligent valve model that integrates into the control center at nasa Stennis Space center. The intelligent valve model integrates diagnostic algorithms and 3D visualizations in order to diagnose and predict failures of a large linear actuator valve (LLAV). The diagnostic algorithm uses auto-associative neural networks to predict expected values of sensor data based on the current readings. The predicted values are compared with the actual values and drift is detected in order to predict failures before they occur. The data is then visualized in a VR environment using proven methods of graphical, measurement, and health visualization. The data is also integrated into the control software using an ActiveX plug-in. ©2009 IEEE.

关键词： nasa

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Planar antenna array mutual coupling identification: A direct method applied to quasi-Yagi elements

Planar antenna array mutual coupling identification: A direc...

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Progress in Electromagnetics Research Symposium 2009, PIERS 2009 Beijing

作者： Capovilla, C.E. Tavora A.s., A. Barbin, S.E. Kretly, L.C. Department of Microwaves and Optics School of Electrical and Computer Engineering University of Campinas Brazil Department of Telecommunications and Control Engineering Polytechnic School University of Sao Paulo Brazil Center for Information Technology Renato Archer Campinas Brazil

ISBN: (纸本)9781618390554

Mutual coupling between adjacent elements is a critical issue for the design of antenna arrays. In this way, it is important to know the influence that each type of coupling mechanism represents in the total mutual coupling. With this objective for a quasi-Yagi antenna array, four prototypes with special details were built and tested. Surface waves and free space coupling were analyzed aiming at proposing a better optimization procedure for the structure. Concluding, FDTD simulation results for the currents distribution on the surface of the array are presented.

关键词： Antenna arrays

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Simple initial rotor position estimation method for three-phase star-connected switched reluctance machine

Simple initial rotor position estimation method for three-ph...

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ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009

作者： Somsiri, Pakasit Pupadubsin, Ruchao Jitkreeyan, Prapon Kachapornkul, Seubsuang Tungpimolrut, Kanokvate Chayopitak, Nattapon Aree, Pichai Industrial Control and Automation Lab. National Electronics and Computer Technology Center Pathumthani 12120 Thailand Department of Electrical Engineering Thammasat University Pathumthani 12120 Thailand

ISBN: (纸本)9784907764296

This paper proposes a simple method to estimate the initial rotor position of a three-phase star-connected switched reluctance motor at standstill without position or current sensor. The key principle of the initial rotor position estimation is based on the stator inductance variation related to the actual rotor position. In the proposed method, only two narrow pulse voltage injections are applied in sequence and the initial rotor position can be estimated by comparing phase voltages and simple calculation. The method is suitable for low-cost applications where motor parameters and phase current data are not required. The proposed method is implemented for a 6-stator-pole, 4-rotor-pole, and 1.5 kW three-phase star-connected switched reluctance motor. The experimental results show the effectiveness of the proposed method. The accuracy of the initial rotor position estimation is within 2.5 electrical degrees, which is sufficient to start-up the switched reluctance motor without rotor back-kicking. © 2009 SICE.

关键词： Stars

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Band selection for hyperspectral images based on parallel particle swarm optimization schemes

Band selection for hyperspectral images based on parallel pa...

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2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009

作者： Chang, Yang-Lang Fang, Jyh-Perng Chang, Lena Benediktsson, Jon Atli Ren, Hsuan Chen, Kun-Shan Department of Electrical Engineering National Taipei University of Technology Taipei Taiwan Department of Communications Navigation and Control Engineering National Taiwan Ocean University Keelung Taiwan Department of Electrical and Computer Engineering University of Iceland Reykjavik Iceland Center for Space and Remote Sensing Research National Central University Chung-Li Taiwan

ISBN: (纸本)9781424433957

Greedy modular eigenspaces (GME) has been developed for the band selection of hyperspectral images (HSI). GME attempts to greedily select uncorrelated feature sets from HSI. Unfortunately, GME is hard to find the optimal set by greedy operations except by exhaustive iterations. The long execution time has been the major drawback in practice. Accordingly, finding an optimal (or near-optimal) solution is very expensive. In this study we present a novel parallel mechanism, referred to as parallel particle swarm optimization (PPSO) band selection, to overcome this disadvantage. It makes use of a new particle swarm optimization scheme, a well-known method to solve the optimization problems, to develop an effective parallel feature extraction for HSI. The proposed PPSO improves the computational speed by using parallel computing techniques which include the compute unified device architecture (CUDA) of graphics processor unit (GPU), the message passing interface (MPI) and the open multi-processing (OpenMP) applications. These parallel implementations can fully utilize the significant parallelism of proposed PPSO to create a set of near-optimal GME modules on each parallel node. The experimental results demonstrated that PPSO can significantly improve the computational loads and provide a more reliable quality of solution compared to GME. The effectiveness of the proposed PPSO is evaluated by MODIS/ASTER airborne simulator (MASTER) HSI for band selection during the Pacrim II campaign. ©2009 IEEE.

关键词： Message passing

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Modeling of hot rolling industrial process using fuzzy logic

Modeling of hot rolling industrial process using fuzzy logic

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22nd International Conference on computer Applications in Industry and engineering 2009, CAINE 2009

作者： Sheta, A. Öznergiz, E. Abdelrahman, M.A. Babuska, R. Giza Egypt Automatic Control Department Mechanical Engineering Faculty Istanbul Technical University Istanbul 34437 Turkey Electrical and Computer Engineering Department Tennessee Technological University Cookeville TN 38505 United States Delft Center for Systems and Control Delft University of Technology Netherlands

ISBN: (纸本)9781615676668

Steel making is known as a complex manufacturing industrial process. Automation of the process represents a challenge. Empirical mathematical modeling of the process was used to design mill equipment, ensure productivity and service quality. This modeling approach shows many problems associated to complexity and time consumption. Soft computing techniques show significant modeling capabilities on handling complex nonlinear systems modeling. In this paper, we explore the use of Takagi-Sugeno (TS) technique to develop fuzzy models for the Hot-Rolling industrial nonlinear process. We propose three models for the rolling force, torque and slab temperature. A set of rules and membership functions which represents the dynamical relationship between the input and output of these models shall be presented. The performance of the fuzzy models will be compared to the known empirical models for the hot rolling system. Experimental data measured from the Ere˜gli Iron and Steel Factory in Turkey shall be used for the verification of the model outstanding performance.

关键词： Hot rolling

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A direct adaptive control approach in the presence of model mismatch

A direct adaptive control approach in the presence of model ...

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作者： Joshi, Suresh M. Taoy, Gang Khong, Thuan Mail Stop 308 NASA Langley Research Center Hampton VA 23681 United States Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904 United States

ISBN: (纸本)9781563479786

This paper considers the problem of direct model reference adaptive control when the plant-model matching conditions are violated due to abnormal changes in the plant or incorrect knowledge of the plant's mathematical structure. The approach consists of direct adaptation of state feedback gains for state tracking, and simultaneous estimation of the plant-model mismatch. Because of the mismatch, the plant can no longer track the state of the original reference model, but may be able to track a modified reference model that still provides satisfactory performance. The reference model adapts to the changed plant, and is redesigned if the estimated plant-model mismatch exceeds a bound that is determined via robust stability and/or performance criteria. The resulting controller is a hybrid direct-indirect adaptive controller that offers asymptotic state tracking in the presence of plant-model mismatch as well as parameter deviations.

关键词： Estimation

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Properties of the parametric lyapunov equation based low gain design with applications in stabilization of time-delay systems

Properties of the parametric lyapunov equation based low gai...

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2009 American control Conference, ACC 2009

作者： Zhou, Bin Lin, Zongli Duan, Guangren Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin 150001 China Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904-4743 United States

ISBN: (纸本)9781424445240

This paper studies some properties of the recently developed parametric Lyapunov equation based low gain feedback design method. As applications of these new properties, alternative and simpler solutions are proposed to the (global) stabilization problem for a class of linear systems with input delay and the semi-global stabilization problem when the systems are in addition subject to actuator saturation. Besides the simplicity in their construction, the new solutions can also be easily scheduled online to achieve global result in the presence of input saturation. © 2009 AACC.

关键词： Linear systems

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