首页|基于MPC-ESO的排气压力控制技术仿真研究

基于MPC-ESO的排气压力控制技术仿真研究

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针对高空舱排气环境模拟系统存在的非线性强、不确定性大等问题,提出了一种基于模型预测控制(MPC)与扩张状态观测器(ESO)的复合控制器.首先,对高空舱排气环境模拟系统核心关键设备与过渡态环境变化过程进行建模;然后,引入扩张状态观测器实时估计系统存在的扰动,并结合模型预测控制器对压力控制阀门开度进行控制;最后,基于系统建模结果搭建高空舱排气环境模拟系统仿真平台并进行仿真试验,对所设计的控制器进行控制性能验证,并与线性自抗扰控制(LADRC)方法进行对比分析.结果显示,在推力瞬变试验控制仿真中,面对等马赫数的爬升工况和快速移动油门杆的位置工况,被控压力的最大瞬时波动量分别从2.59%减少至0.78%和从1.48%减少至0.56%,表明所设计的MPC-ESO控制器跟踪效果佳、响应速度快、抗扰能力强、调节速度快,具有较高的工程应用价值.
Simulation research of exhaust pressure control technology based on MPC-ESO
To tackle the significant nonlinearity and uncertainty in the high-altitude cell exhaust environment simulation system,a hybrid controller combining model predictive control(MPC)and extended state observer(ESO)was proposed.First,the modeling of the critical equipments and transient environment changing processes for the high-altitude cell exhaust environment simulation system were built.The ESO was then adopted to estimate the real-time system disturbances,and meanwhile,the MPC was integrated to manage the degree of opening for the pressure control valve.Finally,a simulation platform for the high-altitude cell exhaust environment simulation system was constructed based on the system modeling results.Simulation experiments were conducted to validate the performance of the proposed MPC-ESO controller,and a comparative analysis was carried out against the linear active disturbance rejection control(LADRC)method.The results demonstrate that in the thrust transient test control simulation,the maximum instantaneous fluctuation of the controlled pressure is reduced from 2.59%to 0.78%and from 1.48%to 0.56%respectively in the climbing condition of equal Mach number and the position condition of fast-moving throttle rod.These results indicate that the proposed MPC-ESO controller can provide excellent tracking performance,quick response,robust disturbance rejection,and swift regulation speed,making it highly valuable for practical engineering applications.

high altitude cellexhaust environment simulationpressure controlmodel predictive controlextended state observer

郑博晨、陈溢泽、李晓冬、王信、张和洪、翟超

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福州大学计算机与大数据学院,福州 350108

中国航发四川燃气涡轮研究院,四川绵阳 621703

中国地质大学(武汉)自动化学院,武汉 430074

高空舱 排气环境模拟 压力控制 模型预测控制 扩张状态观测器

2024

燃气涡轮试验与研究
中国燃气涡轮研究院

燃气涡轮试验与研究

影响因子:0.146
ISSN:1672-2620
年,卷(期):2024.37(6)