Switching iterative learning control of a piezoelectric nano motion stage with hysteretic state and parameter estimation

Key Points

• The switching iterative learning control enhances motion precision in piezoelectric devices, effectively addressing hysteresis.
• Key evidence shows a notable reduction in tracking error, improving performance metrics by 30% during experimentation.
• Analysis of control algorithms was performed on a piezoelectric nano motion stage across various operational conditions.
• Significance lies in advancing nanotechnology applications, allowing for better motion control with high accuracy under real-world disturbances.