Research On Co-Simulation Technology Of Fast Steering Mirror Based On Voice Coil Motor Drive

Fast steering mirror（FSM）is a mechanism that can control the precise pointing and movement of the light beam.It has the technical characteristics of high speed and high precision,and is widely used in space laser communication,astronomical telescope systems and airborne optoelectronic systems.According to statistics,more than 60% of the active airborne optoelectronic devices in the United States use FSM technology.Since FSM technology involves optics,precision mechanics,sensing,drive and control and other disciplines,high-performance FSM design requires system configuration,structural design and simulation,electromagnetic simulation,control simulation and process optimization.Iterative optimization analysis is carried out in many links such as the traditional experience-based design method,which has many problems such as long iterative design cycle,low efficiency and high development cost.To this end,we focus on the research on multi-software co-simulation technology of voice coil motor-driven FSMs.Through systematic modeling of its core components and control algorithms,we design electromagnetic analysis software,dynamics analysis software,and control simulation design software.Generalized interface to build a multi-factor variable FSM co-simulation design and verification platform.The main research contents are as follows:1)Investigate the research status and technology development trend of FSMs at home and abroad,and introduce the advantages of co-simulation technology;2)Focusing on the design requirements of the FSM of the infrared imaging system,decompose the main technical parameters,and determine the structural design of FSM and the selection of key components;3)According to the structure and use requirements of the FSM,the basic structure and parameters of the voice coil motor of the driving element are clarified,and the electromagnetic simulation analysis of the voice coil motor is completed by using JMAG software,and on this basis,the optimization analysis of the permanent magnet material and yoke structure of the motor is carried out.A Simulink electromagnetic model based on the electromagnetic simulation results is established through the data interface between JMAG and Simulink.4)The mathematical model of the FSM system is established,and the structural dynamics analysis of the FSM is completed by Adams software,and the dynamic characteristics of the system are clarified.Through the Adams-Controls module,the software data interface between Adams and Simulink is established,and the Simulink dynamic model based on the dynamic simulation results is established.5)Clarify the composition of the co-simulation model of the FSM;combine the two simulation models established above into the electromagnetic dynamics co-simulation model of the FSM,and analyze the frequency response characteristics;establish the control module of the system on the Simulink platform,and combined with the electromagnetic dynamics joint model to form a control-electromagnetic-dynamics co-simulation model to carry out the simulation analysis of the dynamic characteristics of the FSM system.By testing the open-loop frequency response curve of the physical prototype,the co-simulation result is close to the measured curve,and the error of the amplitude-frequency value in the mid-low frequency stage is less than 10%.The co-simulation model can accurately reflect the characteristics of the FSM system.This paper focuses on the multi-software co-simulation technology of the voice coil motor driving the FSM,establishes the linear system model of the FSM,uses the electromagnetic simulation to obtain the mapping model of the voice coil motor driving force and the input parameters,and uses the dynamic simulation to obtain the dynamic characteristics of the structure.The control-electromagnetic-dynamics co-simulation model with Simulink as the core is constructed,and the co-simulation technology is tested and verified by physical test.The results show that this method can effectively improve the design and optimization efficiency of high-performance FSMs.