Feedforward neural network position control of a piezoelectric actuator based on a BAT search algorithm

作者：

Highlights：

• Precise position control of PEA is problematic due to highly-nonlinear hysteresis behavior.

• A proposed positional control method improved the positional control of X-PEA mechanism model.

• The overshoot value and steady-state error were successfully minimized.

• Introduced error constant is modified through BAT search algorithm.

• BAT search algorithm is used to properly train the FNN and to optimize the FNN topology.

摘要

•Precise position control of PEA is problematic due to highly-nonlinear hysteresis behavior.•A proposed positional control method improved the positional control of X-PEA mechanism model.•The overshoot value and steady-state error were successfully minimized.•Introduced error constant is modified through BAT search algorithm.•BAT search algorithm is used to properly train the FNN and to optimize the FNN topology.

论文关键词：Piezoelectric actuator,Hysteresis,Position control,Neural network,BAT algorithm

论文评审过程：Available online 7 March 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.061