高空舱进气环境压力模拟鲁棒模型预测控制
Robust Model Predictive Control for High-Altitude Cabin Intake Environmental Pressure Simulation
林珏 1张和洪 1但志宏 2吴珊珊 1徐莹莹 1翟超3
作者信息
- 1. 福州大学计算机与大数据学院,福建福州 350108
- 2. 中国航发四川燃气涡轮研究院,四川绵阳 621703
- 3. 中国地质大学 自动化学院,湖北武汉 430079
- 折叠
摘要
针对航空发动机高空环境模拟过渡态试验对高空舱进气环境压力模拟系统提出的强抗扰性、强鲁棒性等控制综合品质要求,设计了一种基于鲁棒模型预测控制(Robust Model Predictive Control,RMPC)的高空舱进气环境压力控制方法.RMPC采用滚动时域优化和扰动反馈补偿的方法,在预测控制框架内处理模型的不确定性.通过建立进气环境压力模拟系统设备特性模型,设计了基于RMPC的进气环境压力控制 策略,搭建了仿真平台,与线性自抗扰控制(Linear Active Disturbance Rejection Control,LADRC)方法进行了对比分析.仿真结果表明,应用RMPC技术后,动态调节时间由7.68 s缩短至3.91 s,最大瞬时波动量由0.94％减小至0.25％,该技术能够大幅提高发动机高空环境模拟过渡态试验中进气环境压力模拟的动态响应速度、控制精度和抗扰能力.
Abstract
Aiming at the comprehensive control quality requirements of strong disturbance rejection and robust-ness for high-altitude cabin intake environmental pressure simulation system in aeroengine high-altitude envi-ronmental simulation transition state tests,a high-altitude cabin intake environmental pressure control method based on robust model predictive control(RMPC)is proposed.RMPC adopts the method of rolling-time domain optimization and disturbance feedback compensation to deal with the model uncertainties within the predictive control framework.By establishing the equipment characteristic model of the intake environmental pressure simulation system,an intake environmental pressure control strategy is designed,a simulation platform is set up,and a comparative analysis is conducted between the linear active disturbance rejection control(LADRC)and the proposed RMPC.The simulation results indicate that the proposed RMPC technology can reduce the dynamic adjustment time from 7.68 s to 3.91 s and decrease the maximum instantaneous fluctuation from 0.94％to 0.25％.The proposed RMPC significantly enhances the dynamic response speed,control accuracy and disturbance rejection capability of the intake environmental pressure simulation in the aeroengine high-alti-tude environmental simulation transition state tests.
关键词
高空舱/压力模拟/鲁棒模型预测控制/过渡态试验/最优控制Key words
high-altitude cabin/pressure simulation/robust model predictive control/transition state test/opti-mal control引用本文复制引用
基金项目
福建省自然科学基金重点项目(2021J02008)
基础加强重点项目(JWKT-2001-2022-0002)
国家自然科学基金(62003088)
出版年
2024
国家科技期刊平台
NSTL
万方数据