Nonlinear control techniques for an atomic force microscope system

• 作 者: Matthew FEEMSTER Darren DAWSON Nader M.JALILI
• 机 构: Weapons and System Engineering Department,Annapolis,Maryland,USA,21402-5025,Clemson University,Clems
• 出 处: Journal of Control Theory and Applications
• 发表日期: 2005年01期
• 关键词: scalar differentiable guaranteed hasbeen whenever hence attraction trajectory ga

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.

Two nonlinear control techniques are developed 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. 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 trajectory despite uncertainty of the system parameters. efficacy and performance of the control strategies.