广西师范大学学报（自然科学版） ›› 2016, Vol. 34 ›› Issue (4): 85-92.doi: 10.16088/j.issn.1001-6600.2016.04.013

• 广西高校优秀中青年骨干教师培养工程论坛 • 上一篇    下一篇

基于改进精英蚁群系统算法的四旋翼无人机 姿态控制研究

钟海鑫,罗晓曙,赵帅,杨力,唐堂   

  1. 广西师范大学电子工程学院,广西桂林541004
  • 收稿日期:2016-07-19 出版日期:2016-07-18 发布日期:2018-07-23
  • 通讯作者: 罗晓曙(1961—),男,湖北应城人,广西师范大学教授,博士。E-mail:lxs@mailbox.gxnu.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(11262004);广西多源信息挖掘与安全重点实验室开放基金资助项目(MIMS15-06);广西信息科学实验中心基金资助项目(KA1430)

Research on Attitude Stability Control of Quadrotor Unmanned Aerial Vehicle Based on Improved Elitist Ant Colony System Algorithm

ZHONG Haixin, LUO Xiaoshu, ZHAO Shuai, YANG Li, TANG Tang   

  1. College of Electronic Engineering, Guangxi Normal University, Guilin Guangxi 541004, China
  • Received:2016-07-19 Online:2016-07-18 Published:2018-07-23

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摘要： 四旋翼无人机在飞行过程中姿态易受到外界气流等因素的干扰,导致飞行姿态失稳,影响完成预设飞行任务的质量。针对传统PID控制不能自适应调整其控制参数的特点,本文首先研究精英蚁群系统算法与PID控制结合的方法,然后提出一种改进精英蚁群系统算法与PID控制结合的方法,分别实现无人机在受到干扰情况下飞行过程的姿态控制,并进行了仿真实验对比。仿真实验结果表明:用改进精英蚁群系统算法优化PID控制参数,不仅可以在短时间内获得PID控制参数的最优解,提高了收敛速度,同时具有更好的抗扰性和鲁棒性。

关键词: PID控制, 蚁群系统算法, 抗扰性, 鲁棒性

Abstract: The altitude of Quadrotor Unmanned Aerial Vehicle (QUAV) is easy to be disturbed by the factors such as the external air flow during the flight, which leads to the instability of the flight attitude and impacts the quality of the preset flight mission. Aiming at the characteristics of the traditional PID control failing to adaptively adjust the control parameters, firstly, this paper studies the method of the combination between elitist ant colony system algorithm and PID control, and then proposes a method of improved elitist ant system algorithm to combine with PID control, respectively, to achieve QUAV’s altitude control during the flight under disturbance, finally the simulation experiment comparison is carried out. Simulation experimental results show that the improved elitist ant colony system algorithm that optimizes the parameters of PID control can not only get optimum valve in a short time and improve the speed of convergence, but also have a better performance of anti-disturbance and robustness.

Key words: PID control, elitist ant colony system algorithm, anti-disturbance, robustness

中图分类号: 

  • TP273.2
[1] GUPTE S, MOHANDAS P I T, CONRAD J M. A survey of quadrotor unmanned aerial vehicles[C]//Southeastcon,2012 Processdings of IEEE.Piscataway NJ:IEEE Press,2012:1-6.
[2] VOOS H. Nonlinear state-dependent riccati equation control of a quadrotor UAV[C]// 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control. Piscataway NJ:IEEE Press, 2006:2547-2552.
[3] ISSAM K, GENG Q. Research on control strategies for the stabilization of quadrotor UAV[C]// Intelligent Control and Information Processing.Piscataway NJ:IEEE Press, 2014:286-292.
[4] JOYO M K, Hazry D, AHMED S F, et al. Altitude and horizontal motion control of quadrotor UAV in the presence of air turbulence[C]// Systems, Process & Control. Piscataway NJ:IEEE Press, 2013:74-77.
[5] TANVEER M H, AHMED S F, HAZRY D, et al. Disturbance and noise rejection controller design for smooth takeoff/landing and altitude stabilization of quad-rotor[J]. Journal of Applied Sciences Research, 2013, 9(5):3316-3327.
[6] BOUADI H, BOUCHOUCHA M, TADJINE M. Sliding mode control based on backstepping approach for an UAV type-quadrotor[J]. World Academy of Science, Engineering and Technology,2007,26(5):22-27.
[7] RAZA S A, GUEAIEB W. Intelligent flight control of an autonomous quadrotor[M]//CASOLO F. Motion Control. Rijeka:InTech,2010:245-264.
[8] ARGENTIM L M, REZENDE W C, SANTOS P E, et al. PID, LQR and LQR-PID on a quadcopter platform[C]// International Conference on Informatics, Electronics & Vision. Piscataway NJ:IEEE Press,2013:1-6.
[9] ASTR M K J , MURRAY R M. Feedback systems: an introduction for scientists and engineers[M]. Princeton :Princeton University Press, 2008.
[10] ZIEGLER J G,NICHOLS N B. Optimum settings for automatic controllers[J]. Journal of Dynamic Systems, Measurement, and Control,1993,115(2B):220-222.
[11] JIN H S, JIN W L, LEE Y J, et al. Anti-sway control of an ATC using NN predictive PID control[C]// Industrial Electronics Society, 2004. Piscataway NJ:IEEE Press, 2004:2998-3003.
[12] LI H X, ZHANG L, CAI K Y, et al. An improved robust fuzzy-PID controller with optimal fuzzy reasoning[J]. IEEE Transactions on Systems Man and Cybernetics, Part B (Cybernetics), 2005, 35(6):1283-1294.
[13] 段海滨,王道波,黄向华,等. 基于蚁群算法的PID参数优化[J].武汉大学学报(工学版), 2004, 37(5):97-100.
[14] STR M K J, H GGLUND T. Revisiting the Ziegler-Nichols step response method for PID control[J]. Journal of Process Control, 2004, 14(6):635-650.
[15] RUMELHART D E, HINTON G E, WILLIAMS R J. Learning representation by backpropagating errors[J]. Nature, 1986, 323(9):533-536.
[16] WANG L X. Stable adaptive fuzzy control of nonlinear systems[J]. IEEE Transactions on Fuzzy Systems, 1992, 1(2):146-155.
[17] COLORNI A, DORIGO M, MANIEZZO V. Distributed optimization by ant colonies[C]// Processdings of the Ecal 91 European Conference on Artificial Life. Paris: Elsevier Publishing, 1991:134-142.
[18] HSIAO Y T, CHUANG C L, CHIEN C C, et al. Ant colony optimization for designing of PID controllers[C]// 2004 IEEE International Conference on Robotics and Automation. Piscataway NJ:IEEE Press,2004:321-326.
[19] VERBEECK K, NOWE A. Colonies of learning automata[J]. IEEE Transactions on Systems Man and Cybernetics, Part B (Cybernetics), 2002, 32(6):772-780.
[20] DORIGO M, ST TZLE T. Ant Colony Optimization[M].北京:清华大学出版社,2007:71-72.
[21] CARO G D, DORIGO M. Ant colonies for adaptive routing in packet-Switched communications networks[C]// International Conference on Parallel Problem Solving From Nature. Heidelberg:Springer-Verlag, 1998:673-682.
[22] DORIGO M, GAMBARDELLA L M. Ant colony system: a cooperative learning approach to the traveling salesman problem[J]. IEEE Transactions on Evolutionary Computation, 1997, 1(1):53-66.
[23] 谢剑斌,兴军亮,张立宁,等.视觉机器学习20讲[M]. 北京:清华大学出版社,2015:228-239.
[24] 李滋刚,万德钧.捷联式惯性导航技术[M].北京: 中国船舶信息中心, 2001.
[25] BOUABDALLAH S, SIEGWART R. Backstepping and sliding-mode techniques applied to an indoor micro quadrotor[C]// Proceedings of the 2005 IEEE International Conference on Robotics and Automation. Piscataway NJ:IEEE Press, 2005:2247-2252.
[26] 王俊生,马宏绪,蔡文澜,等.基于ADRC的小型四旋翼无人直升机控制方法研究[J].弹箭与制导学报,2008,28(3):31-40.
[27] CABECINHAS D, SILVESTRE C, CUNHA R, Vision-based quadrotor stabilization using a pan and tilt camera[C]//49th IEEE in Conference on Decision and Control. Piscataway NJ:IEEE Press, 2010: 1644-1649.
[28] 王伟,马浩,孙长银.四旋翼飞行器姿态控制系统设计[J]. 科学技术与工程,2013, 13(19):5513-5519.
[29] CARRILLO L G , RONDON E, SANCHEZ A, et al. Stabilization and trajectory tracking of a quad rotor using vision[J] Journal of Intelligent and Robotic Systems, 2011,61(1-4):103-118.
[30] PRESS W, TEUKOLSKY S , VETTERLING, W. Numerical recipes 3rd edition: the art of scientific computing[M] Cambridge: Cambridge University Press, 2007.
[31] DORIGO M, BIRATTARI M. Ant colony optimization[M]// Wiley Encyclopedia of Operations Research and Management Science. Hoboken:Emerald Group Publishing Limited,2011:1155-1173.
[32] DORIGO M, MANIEZZO V, COLORNI A. Ant system: optimization by a colony of cooperating agents[J]. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1996, 26(1):29-41.
[33] ST TZLE T, HOOS H. Improvements on the ant-system: introducing the MAX-MIN ant system[M]// Artificial Neural Nets and Genetic Algorithms. Vienna:Springer Vienna, 1998:245-249.
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