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International Conference on Intelligent Human-Machine Systems and Cybernetics

作者： Ren, Xinyi Du, Fengshan Huang, Huagui Yan, Hongyan Yanshan Univ Inst Engn Mech Qinhuangdao Hebei Peoples R China

ISBN: (纸本)9780769537528

A novel control strategy of Fuzzy-immune PID based on pso is proposed in this paper. The strategy learns from the immune feedback principle of biological immune system and takes advantage of the good approaching ability of fuzzy control to achieve nonlinear function of the immune controller, and then the pso algorithm is used to optimize parameters of PID controller and immune controller. Apply the strategy into the hydraulic AGC control system of rolling mills with characteristics of high nonlinearity, time-varying and time-delay. The simulation results indicate that this strategy has strong adaptability to the transformation of the system parameters and has advantages of low overshoot, short adjusting time, strong anti-disturbance ability and great robustness.

关键词： Hydraulic AGC Adaptive control Fuzzy-immune PID pso algorithm Time-varying

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Research and application of pso-based BP neural network in the project estimate of government investment

Research and application of PSO-based BP neural network in t...

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IITA International Conference on Control, Automation and Systems Engineering

作者： Liu, Wenhui Chi, Zhifeng Kashgar Teacher Coll Dept Informat & Technol Kashgar Peoples R China Xinyang Normal Univ Dept Urban & Environm Sci Xinyang Peoples R China

ISBN: (纸本)9780769537283

In order to increase the accuracy of the cost estimates in government investment, a method based on the pso trained neural network to estimate the cost is proposed. First the neural network model of a project cost estimate is created, and then pso is introduced to optimize the weight and threshold of the neural network, at last the neural network trained is used to estimate cost of the project. The results show that this method not only overcome the defects of traditional neural network such as learning for a long time and shock, but also increase the accuracy of the cost of the project to estimate.

关键词： pso algorithm BP neural network Optimization Cost estimates

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A Six-Dimensional Magnetic Localization algorithm for a Rectangular Magnet Objective Based on a Particle Swarm Optimizer

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IEEE TRANSACTIONS ON MAGNETICS 2009年第8期45卷 3092-3099页

作者： Yang, Wan'an Hu, Chao Meng, Max Q. -H. Song, Shuang Dai, Houde Chinese Univ Hong Kong Chinese Acad Sci Shenzhen Inst Adv Integrat Technol Shenzhen Inst Adv Technol Shenzhen 518067 Guangdong Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Inst Comp Technol Shenzhen 518067 Guangdong Peoples R China Chinese Acad Sci Grad Sch Shenzhen 518067 Guangdong Peoples R China Chinese Univ Hong Kong Dept Elect Engn Shatin Hong Kong Peoples R China

To build a wireless capsule endoscope with active external guidance for controllable and interactive diagnosis on the gastrointestinal tract, it is necessary to track the capsule's 3-D position and 3-D orientation. An approach to tracking is to enclose a small rectangular permanent magnet in the capsule. The magnetic field produced around the body by the rectangular magnet can be detected by magnetic sensors outside the patient's body. With these detected magnetic sensor data, the 3-D localization and 3-D orientation parameters can be computed by an appropriate algorithm based on the mathematical model of the rectangular magnet's magnetic field. We tried several nonlinear optimization algorithms, and simulation experiments show that the particle swarm optimization algorithm can work effectively with good accuracy when the magnet moves within a predetermined range.

关键词： Wireless endoscope 6D localization and orientation rectangular magnet pso algorithm

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The forecasting residual life of underground pipeline based on particle swarm optimisation algorithm

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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2009年第4期1卷 270-275页

作者： Liu, Qin Ming Lv, Wenyuan Shanghai Univ Sci & Technol Coll Management Shanghai 200093 Peoples R China

Grey theory explores the use of the pso algorithm and this paper analysed the feasibility of using this algorithm to forecast the residual life of underground pipeline. It is allowed to offer fewer data while using this method to forecast its residual life. Example shows that the method of the pso algorithm based on grey theory optimisation is superior to the existing forecasting methods such as the grey forecasting method and grey theory based on the GA optimisation method.

关键词： underground pipeline residual life grey theory particle swarm optimisation algorithm pso algorithm

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Gait Recognition Method Based on Hybrid Kernel and Optimized Parameter SVM

Gait Recognition Method Based on Hybrid Kernel and Optimized...

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2nd IEEE International Conference on Computer Science and Information Technology

作者： Ni, Jian Liang, Libo Hebei Univ Engn Coll informat & Elect Engn Handan 056038 Peoples R China

ISBN: (纸本)9781424445189

The gait recognition algorithm adopt support vector machine based on hybrid kernel function and Parameter Optimization. Partial kernel function and overall kernel function are fitted to compose super-kernel function, so that the SVM obtain better generalization ability and generalization ability. In terms of parameter selection, the text uses the objective function and combine OPS algorithm to select the best kernel parameter. This method makes use of the distance of training samples of different classes to find the optimal (or effective) nuclear parameters instead of the standard SVM training samples. It avoids strong empirical and large amount of calculation of the traditional SVM on model selection. Then the gaits are classified by the support vector machine models. This algorithm is applied to a data-set including thirty individuals. Experimental results demonstrate that the algorithm performs at an encouraging recognition rate and at a relatively lower computational cost.

关键词： gait recognition SVM hybrid kernel objective function pso algorithm

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Design for Multi-machine Power System damping Controller Via Particle Swarm Optimization Approach

Design for Multi-machine Power System damping Controller Via...

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International Conference on Sustainable Power Generation and Supply

作者： Duan, Zhiyuan Zhang, Chengxue Hu, Zhijian Ding, Tao Wuhan Univ Sch Elect Engn Wuhan 430072 Hubei Peoples R China

ISBN: (纸本)9781424449347

This paper provides an algorithm based on the microhabitat theory and particle swarm for the problem of Wide area controller parameters optimization. The method cans optimal parameters. According to multi-objective model of the problem, and reduce the difficulties and works in design for multi-machine Power System damping Controller. In the end of paper, a typical four-generator two-area testing system indicates that wide-area damping controller has a strong capability of damping area oscillation. The result showed that the algorithm validity and feasibility.

关键词： pso algorithm optimization inter-area oscillations WAMS PSS

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Distribution Network Planning Based On Hybrid algorithm

Distribution Network Planning Based On Hybrid Algorithm

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2nd International Conference on Intelligent Computation Technology and Automation

作者： Sheng Siqing Wu Jing Gao Nan Ma Zhigang N China Elect Power Univ Sch Elect & Elect Engn Baoding Hebei Peoples R China

ISBN: (纸本)9780769538044

The distribution network planning is formulated as a multi-objective mathematical optimization problems, this paper uses investment cost, loss of network, reliability and the environmental effect and so on as multi-objective functions to establishment mathematics model. The traditional of Particle Swarm Optimization for multi-objective optimization can not solve this problem. Through the fuzzy optimized algorithm and the rough set method to determine the link between the objective functions in the paper, so as to obtain the relative important weighting factors attribute to various objectives. And then the pursuit of multi-objective optimization transforms to seek the optimal level of satisfaction of the overall goals. It avoids the difficulties about the different dimensions of the goal transform into the same goal. The improvement of pso algorithm and the Powell optimization algorithm are used to optimize distribution network planning, then that overcomes insufficient for precocious restraining using alone pso, increases the development ability of algorithm, and sharpens the partial optimization ability. The example shows that the method is feasible and effective.

关键词： distribution network planning relational grade pso algorithm Powell algorithm

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A New Maximum Power Point Tracking algorithm for PV Modules under Partial Shading and Rapidly Varying Illumination

A New Maximum Power Point Tracking Algorithm for PV Modules ...

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2009 Annual IEEE India Conference

作者： Kar, Anuradha Kar, Asim Univ Calcutta Dept Radiophys & Elect Kolkata India Univ Jadavpur Dept ETCE Kolkata India

ISBN: (纸本)9781424448586

A new technique for maximum power point tracking (MPPT) of photovoltaic (PV) modules has been developed with the aim of maximizing their efficiency of photovoltaic energy conversion. The Particle Swarm Optimization (pso) algorithm has been employed in this work to track the Maximum Power Points (MPPs) of PV modules under partial and rapidly varying insolation conditions. Experimental arrangements were made to track the MPP of a PV module under partial and rapidly varying insolation levels and the results were compared with the MPP values obtained using the pso-MPPT algorithm. Simulation results show that the pso-MPPT method has an accuracy of 1% and a tracking response time of 1.42 seconds.

关键词： PV Module MPP tracking Partial Shading pso algorithm pso-MPPT algorithm

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Research on Multi-time Period Production Plan of Supply Chain under Demands Uncertainty

Research on Multi-time Period Production Plan of Supply Chai...

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6th International Symposium on Neural Networks

作者： Pang, Hali Wei, Yongjun Wang, Shan Liu, Xiaobin Northeastern Univ Coll Informat Sci & Engn Shenyang 110004 Peoples R China

ISBN: (纸本)9783642015069

Considering capacity constraints of manufacturer, a problem of multi-time period production planning Of Supply chain under Customers I demands uncertainty was studied in this paper. According to characteristics of the problem, an optimal stochastic chance constraint programming model with objective of minimum costs was presented, and a real number matrix encoding and stochastic sampling constraints verifying based pso algorithm was proposed. A numeric example is performed, and the results illustrate the feasibility and the effectiveness of proposed model and algorithm.

关键词： Supply chain Multi-time period production plan Demands uncertainty Stochastic chance-constraint programming pso algorithm

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Research on multi time periods procurement plan of supply chain under production demands uncertainty

Research on multi time periods procurement plan of supply ch...

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21st Chinese Control and Decision Conference

作者： Pang Hali Wei Yongjun Chen Caixia Duan Jian NE Univ Shenyang Coll Informat Sci & Engn Liaoning 110004 Peoples R China

ISBN: (纸本)9781424427239

Considering the uncertainty of production demand, a problem of multi time periods procurement plan of supply chain under production demands uncertainty was studied in this paper. According to characteristics of the problem, a real number matrix encoding and stochastic sampling constraints verifying based pso algorithm was proposed. A numeric example is performed, and the results illustrate the feasibility and the effectiveness of proposed model and algorithm.

关键词： supply chain multi time periods procurement plan demands uncertainty stochastic chance-constraint programming pso algorithm

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