Data-Driven Model Predictive Control for Speed Temperature Drift Compensation of Rotary Traveling Wave Ultrasonic Motors
This paper proposes a data-driven model predictive control (MPC) framework for high-precision speed control of rotary traveling wave ultrasonic motors (RTWUSMs) under temperature drift. To address the strong nonlinearity and time-varying thermal characteristics of RTWUSMs, a Koopman–convolutional neural network–long sh...