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基于模糊-PID的高空台液压加载系统智能控制
引用本文:李桂财,郭迎清,郭鹏飞,赵万里,彭 晋,李睿超.基于模糊-PID的高空台液压加载系统智能控制[J].测控技术,2024,43(1):55-62.
作者姓名:李桂财  郭迎清  郭鹏飞  赵万里  彭 晋  李睿超
作者单位:西北工业大学 动力与能源学院;中国航发四川燃气涡轮研究院
基金项目:国家稳定支持课题项目(CJCZ-0062-20)
摘    要:为了改善航空发动机高空模拟试车台(简称高空台)液压加载系统的控制性能,解决手动调节控制精度低且闭环控制快速性较差的问题,提出了一种将开环模糊控制与闭环PID控制相结合的智能复合控制方法。首先,结合高空台液压加载试验特点和设备特性,利用真实试验数据基于最小二乘系统辨识搭建了系统的分段线性模型。其次,使用频域法设计参数调度的PID控制器,解决了手动调节控制精度低的问题。最后,结合试验操作人员提供的经验知识和历史试验数据结论搭建了模糊开环控制器,设计控制器选择模块和积分补偿模块,将模糊开环控制器与闭环PID控制器相结合形成智能复合控制器。通过仿真验证得出,智能复合控制器的控制效果在精度上明显优于人工手动调节,在快速性上明显优于PID控制器,调节时间缩短了39%~87%。

关 键 词:航空发动机  高空台液压加载系统  智能控制  模糊控制  复合控制

Intelligent Control of Hydraulic Loading System of Altitude Simulated Test Facility Based on Fuzzy-PID
Abstract:To improve the performance of control system of the hydraulic loading system of the aeroengine altitude simulated test facility and solve the problems of low manual adjustment control accuracy and poor closed-loop control rapidity,an intelligent compound control method combining open-loop fuzzy control with closed-loop PID control is proposed.Firstly,the piecewise linear model of the system is built based on the least square system identification by using real test data,combined with the characteristics of the hydraulic loading test and equipment.Secondly,the frequency domain method is used to design the PID controller for parameter scheduling,which solves the problem of low accuracy of manual regulation control.Finally,combined with the experience knowledge provided by the test operators and historical test data,the fuzzy open loop controller is built,the controller selection module and integral compensation module are designed,and the fuzzy and PID controllers are combined to form an intelligent compound controller.The simulation results show that the control effect of the intelligent compound controller is better than that of manual adjustment in accuracy and PID controller in rapidity.The adjustment time is reduced by 39%~87%.
Keywords:aeroengine  hydraulic loading system of altitude simulated test facility  intelligent control  fuzzy control  compound control
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