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基于生物神经元的PID控制器及其应 被引量:1

Biological Neurons Based PID Controller and Its Application
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摘要 提出了一种新型的增益自调整的动态神经元PID控制器 ,该控制器具有非线性滤波和增益自调整等优良特性 .由于所采用的生物神经元动态模型 (ShuntingModel)具有模型稳定、输出光滑、有界的特点 ,使得控制器的输出有界且光滑 ,从而可以利用这种控制器构造一类柔性、安全的控制系统 .通过倒立摆系统控制的仿真研究 ,验证了该控制策略的有效性和鲁棒性 . A novel auto-gain-regulation dynamic neuron controller is developed for a class of nonlinear systems, which has some excellent characteristics of nonlinear filtering and auto-gain-regulation. A biological inspired neuron, which is described by the Shunting Model, is used to construct a nonlinear controller so that the output of the controller is bounded and smooth because the activity of the neuron is stable, bounded and smooth. The controller presented can be employed to design a class of flexible and safe control systems. By the simulation study of an inverted pendulum control, the robustness and effectiveness of the proposed control strategy are demonstrated.
出处 《宁波大学学报(理工版)》 CAS 2004年第3期279-285,共7页 Journal of Ningbo University:Natural Science and Engineering Edition
关键词 生物激励神经元 PID控制器 增益自调整 倒立摆 biological inspired neuron PID controller automatic gain control inverted pendulum
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参考文献12

  • 1陈惟昌,王自强,陈志华,安荣姝.神经信息学的原理与展望[J].生物物理学报,2001,17(4):613-620. 被引量:9
  • 2Hodgkin A L , Huxley A F. A quantitative description of membrane current and its application to conduction and excitation in nerve [ J ]. J Phys Lond, 1952, 117:500 ~ 544.
  • 3Grossberg S. Nonlinear neural networks: Principles,mechanism, and architectures [ J ]. Neural Networks,1988,1:17 ~ 61.
  • 4Grossberg S. Absolute stability of global pattern formation and parallel memory storage by compective neural networks[J]. IEEE Trans Syst, Man, Cybern, 1983,13:815 ~ 926.
  • 5Yang S X, Meng M. An efficinet neural network approach to dynamic robot motion planning [ J ]. Neural Networks, 2000, 13(2) :143 ~ 148.
  • 6Yang S X, Meng M. Neural network approches to dynamic collision-free trajectory generation [ J ]. IEEE Transactions on Systems, Man, and Cybernetics, 2001,31(3) :302 ~318.
  • 7Yang S X, Luo Chaomin. A neural network approach to complete coverage path planning[ J]. IEEE Transactions on Systems, Man and Cybernetics, part B, 2004,34:718 ~724.
  • 8Yuan Xiaobu, Yang S X. Virtual assembly with biologically inspired intelligence [ J ]. IEEE Transactions on Systems, Man, and Cybernetics, Part C,2003, 33(2):159 ~ 167.
  • 9Yang S X, Meng M. An effieinet neural network method for real-time motion planning with safety consideration[ J ]. Robotics and Autonomous Systems,2000,32 (23):115 ~ 128.
  • 10Chang Wei-Der, Hwang Rey-Chue, Hsieh Jer-Guang. A self-tuning PID control for a class of nonlinear systems based on the Lyapunov approach. Journal of Process Control ,2002,12:233 ~ 242.

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