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A New Meta-Heuristic Optimization algorithm Inspired by FIFA World Cup Competitions: Theory and Its Application in PID Designing for AVR System

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JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS 2016年第4期27卷 419-440页

作者： Razmjooy, Navid Khalilpour, Mohsen Ramezani, Mehdi Univ Tafresh Dept Elect Engn Tafresh Iran Islamic Azad Univ Ardabil Branch Young Researchers & Elite Club Ardebil Iran Univ Tafresh Dept Math Tafresh Iran

This paper presents a new optimization algorithm based on human society's intelligent contests. FIFA World Cup is an international association football competition competed by the senior men's national teams. This contest is one of the most significant competitions among the humans in which people/teams try hard to overcome the others to earn the victory. In this competition there is only one winner which has the best position rather than the others. This paper introduces a new technique for optimization of mathematic functions based on FIFA World Cup competitions. The main difficulty of the optimization problems is that each type of them can be interpreted in a specific manner. World Cup Optimization (WCO) algorithm has a number of parameters to solve any type of problems due to defined parameters. For analyzing the system performance, it is applied on some benchmark functions. It is also applied on an optimal control problem as a practical case study to find the optimal parameters of PID controller with considering to the nominal operating points , changes of the AVR system. The main objective of the proposed system is to minimize the steady-state error and also to improve the transient response of the AVR system by optimal PID controller. Optimal values of the PID controller which are achieved by WCO algorithm are then compared with particle swarm optimization and imperialist competitive algorithm in different situations. Finally for illustrating the system capability against the disturbance, it is applied on a generator with disturbance on it and the results are compared by the other algorithms. The simulation results show the excellence of WCO algorithm performance into the nature base and other competitive algorithms.

关键词： Meta-heuristic algorithm Optimization Continuous optimization problems World Cup Optimization (WCO) Genetic algorithm pso algorithm ICA AVR system Optimal PID control

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A Measurement-Based Approach for Designing Fixed-Order Controllers for Unknown Closed-Loop Architecture

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ASIAN JOURNAL OF CONTROL 2016年第2期18卷 686-698页

作者： Khadraoui, Sofiane Nounou, Hazem N. Nounou, Mohamed N. Datta, Aniruddha Bhattacharyya, Shankar P. Texas A&M Univ Qatar Dept Elect & Comp Engn Doha Qatar Texas A&M Univ Qatar Dept Chem Engn Doha Qatar Texas A&M Univ Dept Elect & Comp Engn College Stn TX USA

This paper presents a new technique to design fixed-structure controllers for linear unknown systems using a set of measurements. In model-based approaches, the measured data are used to identify a model of the plant for which a suitable controller can be designed. Due to the fact that real processes cannot be described perfectly by mathematical models, designing controllers using such models to guarantee some desired closed-loop performance is a challenging task. Hence, a possible alternative to model-based methods is to directly utilize the measured data in the design process. We propose an approach to designing structured controllers using a set of closed-loop frequency-domain data. The principle of such an approach is based on computing the parameters of a fixed-order controller for which the closed-loop frequency response fits a desired frequency response that describes some desired performance indices. This problem is formulated as an error minimization problem, which can be solved to find suitable values of the controller parameters. The main feature of the proposed control methodology is that it can be applied to stable and unstable plants. Additionally, the design process depends on a pre-selected controller structure, which allows for the selection of low-order controllers. An application of the proposed method to a DC servomotor system is presented to experimentally validate and demonstrate its efficacy.

关键词： Measurement-based control unknown systems closed-loop architecture low-order controller performance achievement pso algorithm error minimization frequency response data

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Emergency material collecting model of sudden disasters with fuzzy collecting time

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INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 2016年 19卷 249-257页

作者： Xing, Huang Southwest Univ Sci & Technol Sch Econ & Management Mianyang City 621010 Peoples R China

The paper looked the Hub-and-Spoke emergency material collecting network with double level Multi hub as the research target to reality the decision optimization of emergency material collecting under the sudden disaster. The paper set the double goals for the collecting time and costs with the major constraint conditions of the fuzzy collecting time and the system time according to the primary characters of disasters, and the paper constructed the Multi-hub, double goals of programming model with some constraint conditions, including the capacity limited of each hub spot, the total time of the collecting system and the ownership of each demand point. The author used the improved Particle Swarm Optimization (pso) algorithm to solve the model, which can effectively reality the optimal goals, including the node-line distribution between the emergency material response points and each hub center, the emergency material quantity and the range of each hub center. Finally, the case showed that the improved pso is superior to the standard pso. The improved pso has a clear advantage, such as a perfect iteration speed, a shorten collecting time and small collecting costs, etc. So the model can make a decision to the emergency material collecting of sudden disaster. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Emergency logistics The material collecting model pso algorithm Multi-hub network

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Particle Swarm Optimization algorithm for Leakage Power Reduction in VLSI Circuits

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INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS 2016年第2期62卷 179-186页

作者： Rani, V. Leela Latha, M. Madhavi GVP Coll Engn Autonomous Dept ECE Visakhapatnam AP India JNTUH Coll Engn Dept ECE Hyderabad Telangana India

Leakage power is the dominant source of power dissipation in nanometer technology. As per the International Technology Roadmap for Semiconductors (ITRS) static power dominates dynamic power with the advancement in technology. One of the well-known techniques used for leakage reduction is Input Vector Control (IVC). Due to stacking effect in IVC, it gives less leakage for the Minimum Leakage Vector (MLV) applied at inputs of test circuit. This paper introduces Particle Swarm Optimization (pso) algorithm to the field of VLSI to find minimum leakage vector. Another optimization algorithm called Genetic algorithm (GA) is also implemented to search MLV and compared with pso in terms of number of iterations. The proposed approach is validated by simulating few test circuits. Both GA and pso algorithms are implemented in Verilog HDL and the simulations are carried out using Xilinx 9.2i. From the simulation results it is found that pso based approach is best in finding MLV compared to Genetic based implementation as pso technique uses less runtime compared to GA. To the best of the author's knowledge pso algorithm is used in IVC technique to optimize power for the first time and it is quite successful in searching MLV.

关键词： Leakage power pso algorithm Genetic algorithm Minimum leakage vector Verilog HDL implementation

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OPTIMIZATION OF THREE-PHASE PWM RECTIFIER ROBUST CONTROL SYSTEM BASED ON IMPROVED pso algorithm

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INTELLIGENT AUTOMATION AND SOFT COMPUTING 2011年第7期17卷 847-858页

作者： Tan, Guojun Zhang, Hui Qian, Miaowang Yu, Ruiwen China Univ Min & Technol Sch Informat & Elect Engn Xuzhou Peoples R China

This paper proposes a robust H-infinity control method for three-phase PWM rectifier. Based on the mathematical model of the PWM rectifier, the state equations which include outside interference are established for the standard setup I-I. control problem with suitable weighting functions. The robust H-infinity controller can be derived by solving the Riccati inequality. An improved pso algorithm is proposed in this paper by bringing the ideas of SA algorithm and chaotic search into the pso algorithm. And it is used to optimize the parameters of proposed controller. Simulation and experiment results verify that the designed robust H-infinity controller has a better external disturbance rejection capability compared with the conventional PI controller. And the improved pso algorithm has ability to determine the parameters effectively for the proposed controller.

关键词： robust H-infinity control PWM rectifier pso algorithm

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A Novel Architecture for Task Scheduling Based on Dynamic Queues and Particle Swarm Optimization in Cloud Computing

A Novel Architecture for Task Scheduling Based on Dynamic Qu...

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2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)

作者： Ben Alla, Hicham Ben Alla, Said Ezzati, Abdellah Hassan 1 Univ Sci & Tech Fac Math & Comp Sci Dept LAVETE Lab Settat 26000 Morocco

ISBN: (纸本)9781467388948

Task scheduling is one of the most challenging aspects in cloud computing nowadays, which plays an important role to improve the overall performance and services of the cloud such as response time, cost, makespan, throughput etc. Mostly a non-optimal task scheduling algorithm can be a key tool in over utilization or under utilization of cloud resources. In order to solve these problems, this paper proposes a novel architecture to schedule the tasks in cloud computing on the basis of a new Dynamic Dispatch Queues algorithm (DDQA) and Particle Swarm Optimization (pso) algorithm. The proposed algorithm DDQA-pso gives full consideration to the dynamic characteristics of the cloud computing environment. The experimental results based on CloudSim simulator show that the proposed architecture can effectively achieve good performance, load balancing, and improve the resource utilization.

关键词： Cloud Computing pso algorithm DDQA-pso algorithm Task Scheduling Dynamic Queues

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Optimized PID Tracking Control for Piezoelectric Actuators based on the Bouc-Wen Model

Optimized PID Tracking Control for Piezoelectric Actuators b...

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IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO)

作者： Ding, Bingxiao Li, Yangmin Xiao, Xiao Tang, Yirui Univ Macau Dept Electromech Engn Ave Univ Taipa Macao Peoples R China Tianjin Univ Technol Tianjin Key Lab Adv Mechatron Syst Design & Intel Tianjin 300384 Peoples R China

ISBN: (纸本)9781509043644

An optimized PID controller designed for piezoelectric actuator based on classical Bouc-Wen(BW) hysteresis model is proposed in this paper. Generally, hysteresis nonlinearity existing in the smart materials such as piezoelectric actuators can cause undesirable inaccuracy. In this paper, the classical BW hysteresis model is presented and parameters identification via the particle swarm optimization (pso) approach for piezoelectric actuator is performed. For the purpose of obtaining a better tracking performance, the pso method is adopted again to search for each parameter. The testing results validate that the optimized PID controller can enhance the PZT's tracking accuracy.

关键词： BW model PEA PID controller pso algorithm

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A Hierarchical P2P Model and a Data Fusion Method for Network Security Situation Awareness System

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Wuhan University Journal of Natural Sciences 2016年第2期21卷 126-132页

作者： GUO Fangfang HU Yibing XIU Longting FENG Guangsheng WANG Shuaishuai Computer Science and Technology Department Harbin Engineering University

A hierarchical peer-to-peer（P2P）model and a data fusion method for network security situation awareness system are proposed to improve the efficiency of distributed security behavior monitoring *** single point failure of data analysis nodes is avoided by this P2P model,in which a greedy data forwarding method based on node priority and link delay is devised to promote the efficiency of data analysis *** the data fusion method based on repulsive theory-Dumpster/Shafer（psoRT-DS）is used to deal with the challenge of multi-source alarm *** data fusion method debases the false alarm *** with improved Dumpster/Shafer（DS）theoretical method based on particle swarm optimization（pso）and classical DS evidence theoretical method,the proposed model reduces false alarm rate by 3%and 7%,respectively,whereas their detection rate increases by 4%and 16%,respectively.

关键词： distributed security behavior monitoring peer-to- peer （P2P） data fusion DS evidence theory pso algorithm

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Optimal design and operation of hydraulically coupled hydropower reservoirs system 12th

Optimal design and operation of hydraulically coupled hydrop...

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12th International Conference on Hydroinformatics (HIC) - Smart Water for the Future

作者： Zadeh, N. Afsharian Mousavi, S. J. Jahani, E. Kim, J. H. Amirkabir Univ Technol Tehran Polytech Sch Civil & Environm Engn Tehran Iran Korea Univ Sch Civil Environm & Architectural Engn Seoul South Korea

This paper presents an optimization formulation for reliability-based optimal design and operation of a hydraulically coupled cascade hydropower reservoirs system, where the upstream power plant's tailwater is affected by the downstream reservoir's water level. The problem is formulated as a mixed integer nonlinear program (MINLP) with the objective function of maximization of the system's firm energy production while controlling the reliability level of hydroenergy production. Particle swarm optimization (pso) is used as the optimization algorithm to solve the MINLP. The performance of the proposed methodology is tested through its application in the Karoon2-Karoon3 cascade reservoirs system in Iran as a real-world case study. Karoon3 Dam has already been constructed, whereas Karoon2 hydropower system is being designed. The results are used for capacity optimization of the Karoon2's reservoir and powerplant as well as optimal operation of the whole cascade system. (C) 2016 The Authors. Published by Elsevier Ltd.

关键词： Optimization Cascade hydropwer plants pso algorithm

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Optimal Tuning of Fractional-Order PID Controller

Optimal Tuning of Fractional-Order PID Controller

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International Conference On Soft Computing Systems (ICSCS)

作者： Arun, M. K. Biju, U. Rajagopal, Neeraj Nair Bagyaveereswaran, V. VIT Univ SELECT Vellore Tamil Nadu India

ISBN: (纸本)9788132226710;9788132226697

The paper proposes a comparative study of the performance of the fractional-order PID(FOPID) controller with the conventional controllers. The parameters of the FOPID controller is estimated using particle swarm optimization (pso) algorithm, and the values are compared with the values obtained through conventional optimization techniques. This paper aims to find out optimal settings for a fractional (PID beta)-D-alpha controller in order to achieve five different design specification for a closed system and also presents identification of fractional-order system using pso. By obtaining optimal settings, fractional-order PID controller can enhance system control performance and robustness.

关键词： FOPID controller pso algorithm

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