Nonlinear control techniques for an atomic force microscope system
Yongchun FANG
Matthew FEEMSTER
Darren DAWSON
Nader M.JALILI
摘要：Two nonlinear control techniques are proposed for an atomic force microscope system.Initially,a learning-based control algorithm is developed for the microcantilever-sample system that achieves asymptotic cantilever tip tracking for periodic trajectories.Specifically,the control approach utilizes a learning-based feedforward term to compensate for periodic dynamics and high-gain terms to account for non-periodic dynamics.An adaptive control algorithm is then developed to achieve asymptotic cantilever tip tracking for bounded tip trajectories despite uncertainty throughout the system parameters.Simulation results are provided to illustrate the efficacy and performance of the control strategies.
机标关键词：control algorithmatomic force microscopenonlinear control
分类号：O23(控制论、信息论（数学理论）)
论文发表日期：2005-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 85-92 )
英文信息