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电子学报  2014 

室内噪声环境下气味源的多机器人微粒群搜索方法

DOI: 10.3969/j.issn.0372-2112.2014.01.011, PP. 70-76

Keywords: 气味源定位,多机器人,微粒群优化,噪声,概率支配

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Abstract:

针对室内噪声环境下的气味源定位问题,提出一种基于骨干微粒群进化的多机器人协调搜索方法.该方法将每个机器人看作一个微粒,机器人传感器探测到的气味浓度值作为微粒的适应值,所有机器人组成一个进化微粒群;采用动态统计方法在线估计机器人所测气味浓度的噪声强度,并通过区间数表示噪声环境下微粒的适应值;定义微粒间的概率支配关系,更新微粒的全局和局部引导者,并利用关于全局引导者和局部引导者的高斯采样更新机器人的位置.最后,通过2个典型实验环境,验证了所提算法在处理噪声环境下气味源定位问题的优越性.

References

[1]  薛颂东,曾建潮.群机器人研究综述[J].模式识别与人工智能,2008,21(2):177-185. S D Xue,J C Zeng.Swarm robotics:a survey pattern recognition and artificial intelligence[J].2008,21(2):177-185.(in Chinese)
[2]  J Kennedy,R C Eberhart.Particle swarm optimization [A].Proceedings of IEEE International Conference on Neural Networks [C].NJ:IEEE Piscataway,1995.1942-1948.
[3]  D W Gong,C L Qi,Y Zhang,M Li.Modified particle swarm optimization for odor source localization of multi-robot [A].Proceedings of IEEE Congress on Evolutionary Computation [C].NJ:IEEE Piscataway,2011.130-136.
[4]  周勇,巩敦卫.交互式遗传算法的噪声及降噪策略[J].控制理论与应用,2008,25(2):221-227. Y Zhou,D W Gong.Noises in interactive genetic algorithms and strategies for its reduction[J].Control Theory & Applications,2008,25(2):221-227.(in Chinese)
[5]  H Pan,L Wang,B Liu.Particle swarm optimization for function optimization in noisy environment[J].Applied Mathematics and Computation,2006,181(2):908-919.
[6]  L Han,X He.A novel opposition-based particle swarm optimization for noisy problems [A].Proceedings of the Third International Conference on Natural Computation [C].DC,USA:IEEE Computer Society,2007,3.624-629.
[7]  H Ishida,K Suetsugu,T Nakamoto,et al.Study of autonomous mobile sensing system for localization of odor source using gas sensors and anemometric sensors[J].Sensors and Actuators A:Physical,1994,45(2):153-157.
[8]  李飞,孟庆浩,李吉功,等.基于P-PSO算法的室内有障碍通风环境下的多机器人气味源搜索 .自动化学报,2009,35(12):1573-1579. F Li,Q H Meng,J G Li,et al.P-PSO algorithm based on multi-robot odor source search in ventilated indoor environment with obstacles[J].Acta Automatica Sinica,2009,35(12):1573-1579.(in Chinese)
[9]  W Jatmiko,Y Ikemoto,T Matsuno,et al.Distributed odor source localization [A].In Proceedings of IEEE Sensors [C].NJ:IEEE Piscataway,2005.254-257.
[10]  W Jatmiko,et al.A PSO based mobile robot for odor source localization in dynamic advection-diffusion with obstacles environment:theory,simulation and measurement[J].IEEE Computational Intelligence Magazine,2007,2(2):37-51.
[11]  Y Shi,R C Eberhart.A modified particle swarm optimizer [A].Proceedings of the IEEE International Conference on Evolutionary Computation [C].NJ:IEEE,1998.69-73.
[12]  张敏慧,马龙华,等.区间数不等式约束不确定系统的线性规划[J].运筹与管理,2005,14(2):32-36. M H Zhang,L H Ma,et al.The linear programming of uncertain system with interval inequation constraint coefficients[J].Operations Research and Management Science,2005,14(2):32-36.
[13]  张勇,巩敦卫,等.带区间约束不确定系统的确定型模型研究[J].系统工程理论与实践,2009,29(2):127-133. Y Zhang,D W Gong,et al.Research on certainty model for uncertainty system with interval constraints[J].Systems Engineering-theory & Practice,2009,29(2):127-133.(in Chinese)
[14]  R A Russell.Chemical source location and the roboMole project [A].Proceedings of the Australasian Conference on Robotics and Automation [C].NJ:IEEE,2003.1-6.
[15]  J Kennedy.Bare bones particle swarms [A].Proceedings of the 2003 IEEE Swarm Intelligence Symposium [C].NJ:IEEE,2003.80-87.
[16]  J Borenstein,Y Koren.Real-time obstacle avoidance for fast mobile robots[J].IEEE Transactions on Systems,Man and Cybernetics,1989,19(5):1179-1187.
[17]  P P Wang,L P Shi,Y Zhang,L Han.A hybrid simplex search and modified bare-bones particle swarm optimization[J].Chinese Journal of Electronics,2013,22(1):104-108.

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