控制理论与应用
控製理論與應用
공제이론여응용
CONTROL THEORY & APPLICATIONS
2014年
6期
709-716
,共8页
宋崎%江紫亚%韩建达%王洪光
宋崎%江紫亞%韓建達%王洪光
송기%강자아%한건체%왕홍광
直升机%双时标模型%无色卡尔曼滤波%执行器%容错控制
直升機%雙時標模型%無色卡爾曼濾波%執行器%容錯控製
직승궤%쌍시표모형%무색잡이만려파%집행기%용착공제
helicopter%two time-scale model%unscented Kalman filter%actuator%fault tolerant control
针对直升机的执行器故障,本文提出了一种基于双时标模型的自适应容错控制方法。根据直升机的不同状态变量响应时间不同的特点和时标分离理论,将直升机模型划分为快速(姿态动力学)和慢速(平移动力学)两种时标模型。反步控制方法和逆动力学控制方法分别被用于进行快慢两种模型控制器的设计,并在控制过程中采用了不同的控制周期。在双时标模型中,引入了执行器效率因子(actuator effectiveness factors, AEFs)用于表示执行器的健康情况。利用无色卡尔曼滤波(unscented Kalman filter, UKF)对AEFs进行了在线估计,估计结果用于快速和慢速模型控制器的自适应重构。仿真结果表明,该自适应容错控制方法,能够有效的消除执行器故障(包括常值和时变故障)对直升机飞行性能的影响,并取得良好的控制效果。
針對直升機的執行器故障,本文提齣瞭一種基于雙時標模型的自適應容錯控製方法。根據直升機的不同狀態變量響應時間不同的特點和時標分離理論,將直升機模型劃分為快速(姿態動力學)和慢速(平移動力學)兩種時標模型。反步控製方法和逆動力學控製方法分彆被用于進行快慢兩種模型控製器的設計,併在控製過程中採用瞭不同的控製週期。在雙時標模型中,引入瞭執行器效率因子(actuator effectiveness factors, AEFs)用于錶示執行器的健康情況。利用無色卡爾曼濾波(unscented Kalman filter, UKF)對AEFs進行瞭在線估計,估計結果用于快速和慢速模型控製器的自適應重構。倣真結果錶明,該自適應容錯控製方法,能夠有效的消除執行器故障(包括常值和時變故障)對直升機飛行性能的影響,併取得良好的控製效果。
침대직승궤적집행기고장,본문제출료일충기우쌍시표모형적자괄응용착공제방법。근거직승궤적불동상태변량향응시간불동적특점화시표분리이론,장직승궤모형화분위쾌속(자태동역학)화만속(평이동역학)량충시표모형。반보공제방법화역동역학공제방법분별피용우진행쾌만량충모형공제기적설계,병재공제과정중채용료불동적공제주기。재쌍시표모형중,인입료집행기효솔인자(actuator effectiveness factors, AEFs)용우표시집행기적건강정황。이용무색잡이만려파(unscented Kalman filter, UKF)대AEFs진행료재선고계,고계결과용우쾌속화만속모형공제기적자괄응중구。방진결과표명,해자괄응용착공제방법,능구유효적소제집행기고장(포괄상치화시변고장)대직승궤비행성능적영향,병취득량호적공제효과。
A two-time-scale model-based adaptive fault tolerant control method is proposed to deal with faults of ac-tuator for a helicopter. According to the characteristics of the helicopter in which different states with different settling times, and based on the time-scale separation principle, the helicopter model is divided into the fast model (i.e., the attitude dynamics) and the slow model (i.e., the translational dynamics). The backstepping control and the inverse dynamic control are independently used to design the controllers for the fast model and the slow model in which different control intervals are used. Actuator effectiveness factors (AEFs) are introduced into the two-time-scale model to show the healthy conditions of the actuator. An unscented Kalman filter (UKF) is used for the online estimation of the AEFs. The results from UKF are used for the adaptive reconfiguration of controllers for the fast model and the slow model. Simulation results show that the proposed adaptive fault tolerant control method can eliminate the impact of actuator faults (including constant and time-varying fault) on helicopter. Desirable flight performances and good control effects are achieved.