Zhao Guoliang, Sun Kaibiao, Li Hongxing
Faculty of Electronic Information and Electronic Engineering, Dalian University of Technology, Dalian 116024, China ; Modern Manufacture Engineering Center, Heilongjiang University of Science and Technology, Harbin 150022, China.
Faculty of Electronic Information and Electronic Engineering, Dalian University of Technology, Dalian 116024, China.
ScientificWorldJournal. 2013 Dec 25;2013:726963. doi: 10.1155/2013/726963. eCollection 2013.
This paper proposes new methodologies for the design of adaptive integral-sliding mode control. A tensor product model transformation based adaptive integral-sliding mode control law with respect to uncertainties and perturbations is studied, while upper bounds on the perturbations and uncertainties are assumed to be unknown. The advantage of proposed controllers consists in having a dynamical adaptive control gain to establish a sliding mode right at the beginning of the process. Gain dynamics ensure a reasonable adaptive gain with respect to the uncertainties. Finally, efficacy of the proposed controller is verified by simulations on an uncertain nonlinear system model.
本文提出了自适应积分滑模控制设计的新方法。研究了一种基于张量积模型变换的针对不确定性和扰动的自适应积分滑模控制律，同时假设扰动和不确定性的上界未知。所提出控制器的优点在于具有动态自适应控制增益，能够在过程开始时就建立滑模。增益动态确保了针对不确定性的合理自适应增益。最后，通过对不确定非线性系统模型的仿真验证了所提出控制器的有效性。
