Butterfly hysteresis modeling and adaptive neural segmentation implicit inverse control method and device

• Main Authors: ZANG YUXIU, HE HUAN, ZHANG TIANYI, WANG SHUNJIANG, JIN YIFANG, WANG DUO, LIU JIAMING, LI ZHENGPING, GUAN QI, LING ZHAOWEI, YU PENG, SUI BING
• Format: Patent
• Language: Chinese; English
• Published: 07.03.2023
• Subjects: CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICS; REGULATING

According to the butterfly hysteresis modeling and adaptive neural segmentation implicit inverse control method and device provided by the invention, the performance is superior to that of other control methods, and the tracking error is reduced. In addition, the provided segmented implicit inverse algorithm greatly reduces the calculation amount and search time for extracting the actual control signal from the lagging temporary control signal. Comprising the following steps: step 1, establishing a control system model with a butterfly hysteresis characteristic; 2, establishing a butterfly KP model based on a KP model according to butterfly hysteresis characteristics embodied in the model; 3, based on the established butterfly KP model, proposing an adaptive neural segmentation implicit inverse control method for butterfly hysteresis, and eliminating the butterfly hysteresis; and 4, performing adaptive dynamic surface control on the nonlinear control system with the butterfly hysteresis characteristic by adop