Affiliation:
1. Sanming University, College of Mechanical and Electrical Engineering, Sanming, Fujian 365004, China
Abstract
Aiming at the challenging problem of the traditional warp knitting machine electronic jacquard control system with complex structure of multiple circuit boards layered cascade, such as large physical space occupation, high power consumption, and independent high-voltage power supply voltage, we proposed an embedded circuit and control strategy design for the piezoelectric jacquard needle (PJN) with adaptive boost and energy recovery functions. Firstly, the electromechanical dynamics model of PJN was established. Secondly, the fuzzy PI double closed-loop control algorithm driven by a finite state machine is proposed. Thirdly, with the help of a Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET), the PJN is integrated with the drive circuit. The drive circuit of PJN uses an energy storage inductor to replace the current limiting resistor of the traditional drive circuit, which can not only limit the forward charging current of the PJN and reduce energy loss but also can use the energy absorbed from the low-voltage power supply to adaptively boost the power supply of the PJN to the high voltage required for working conditions. The simulation results show that the new PJN drive circuit has an adaptive self-boost function. The PWM signal modulated by the fuzzy PI double closed-loop control algorithm can efficiently and accurately control the adaptive boost power supply and the voltage across the PJN. The mode of the circuit can be correctly switched through the sequential logic of the finite state machine and realize the energy recovery function.
Funder
Key Industrial Guidance Projects of Fujian Province
Subject
General Engineering,General Mathematics
Reference23 articles.
1. Further results on hysteresis compensation of smart micropositioning systems with the inverse Prandtl-ishlinskii compensator;A. J. Mohammad;IEEE Transactions on ControlSystem Technology,2016
2. A new precise positioning method for piezoelectric scanner of AFM
3. Study of hysteresis modeling method for piezoelectric driver;Y. Y. Wang;Journal of Transduction Technology,2019
4. Optimization and design for magnetic circuit in giant magnetostrictive actuator;X. H. Gao;Journal of Harbin Institute of Technology,2016
5. A yarn interaction model for circular braiding;J. Ravenhorst;Composites Part A: Applied Science and Manufacturing,2016