基于PID的柔性关节机械臂控制策略研究Flexible joint manipulators control strategy based on PID control
付邦晨;王海;邱皖群;薛彬;
摘要(Abstract):
以柔性关节机械臂作为研究对象,分别使用传统PID控制和基于神经网络的PID控制进行对比研究,并在Simulink中进行仿真实验.结果表明,神经网络PID控制相比于传统PID控制参数调整更为简单,响应速度和控制精度都得到了提高,跟踪误差减少了50%,能够达到更好的控制效果.
关键词(KeyWords): 柔性关节;PID;神经网络;Simulink
基金项目(Foundation): 国家自然科学基金资助项目(51275001,51375469)
作者(Author): 付邦晨;王海;邱皖群;薛彬;
Email:
DOI:
参考文献(References):
- [1]谭民,王硕.机器人技术研究进展[J].自动化学报,2013,39(7):963-972.
- [2]H O Jong,S L Jin.Control of flexible joint robot system by backstepping design approach.Proceedings of the 1997[C]//International Conference on Robotics and Automation,New Mexico,IEEE,1997:3 435-3 440.
- [3]R J Wai.Design of fuzzy-neural-network-inherited backstepping control for robot manipulator including actuator dynamics[J].IEEE Transactions on Fuzzy Systems,2014,22(4):709-722.
- [4]M G Zhang,M H Qiang.Study of PID neural network control for nonlinear system[J].Institute of Electrical and Electronics Engineers Inc,2006,3(6):1 556-1 559.
- [5]A D Luca,B Siciliano,L Zollo.PD control with on-line gravity compensation for robots with elastic joints[J].Theory and Experiments,Automatica,2005,41:1 809-1 819.
- [6]刘金琨.先进PID控制及Matlab仿真[M].北京:电子工业出版社,2003.
- [7]赵娟平.神经网络PID控制策略及其Matlab仿真研究[J].微计算机信息,2007(7):59-60.
- [8]廖方方,肖建.基于BP神经网络PID参数自整定的研究[J].系统仿真学报,2005(7):1 711-1 713.