Adaptive Neural Piecewise Implicit Inverse Controller Design for a Class of Nonlinear Systems Considering Butterfly Hysteresis
Xiuyu Zhang, Hongzhi Xu, Zhi Li, Feng Shu, Xinkai Chen
Abstract
In this article, an adaptive neural piecewise implicit inverse control strategy is proposed to effectively compensate for butterfly hysteresis effectively. First, a new butterfly Krasnoselskii–Pokrovskii (BKP) model is developed for the double-loop butterfly hysteresis characteristics. Second, an adaptive neural piecewise implicit inverse control strategy is designed to mitigate the butterfly-like hysteresis without constructing its analytical inverse model. Finally, experimental results on the dielectric elastomer actuator (DEA) motion control platform demonstrate the effectiveness of the adaptive neural piecewise implicit inverse control strategy.
Topics & Concepts
PiecewiseControl theory (sociology)InverseHysteresisNonlinear systemButterflyComputer scienceController (irrigation)ActuatorMathematicsControl (management)PhysicsArtificial intelligenceMathematical analysisEconomicsFinanceAgronomyGeometryQuantum mechanicsBiologyPiezoelectric Actuators and ControlAeroelasticity and Vibration ControlShape Memory Alloy Transformations