CAJ | 학술논문

研究飞行器空间动态特性优化控制问题,高动态临近空间飞行器的姿态运动模型是一个多变量非线性时变不确定系统,由于小扰动线性化理论和系数冻结基本假设的传统三通道独立综合(设计)方法已很难适用.针对多变量非线性时变不确定系统对象的非线性设计方法来解决控制问题.提出了一种神经网络自适应反馈线性化方法,用FCMAC神经网络估计实际模型和标称模型问精确线化反馈阵的误差,修正实际系统的反馈线性化模型,有效克服了反馈线性化需要被控对象精确建模的局限性,实现了高马赫、大空域、快角度机动条件下的姿态解耦控制,并进行仿真.仿真结果表明:解耦控制系统在气动拉偏30%下超调小于7%,通道间交叉耦合小于1°,能够满足对象的控制要求.
연구비행기공간동태특성우화공제문제,고동태림근공간비행기적자태운동모형시일개다변량비선성시변불학정계통,유우소우동선성화이론화계수동결기본가설적전통삼통도독립종합(설계)방법이흔난괄용.침대다변량비선성시변불학정계통대상적비선성설계방법래해결공제문제.제출료일충신경망락자괄응반궤선성화방법,용FCMAC신경망락고계실제모형화표칭모형문정학선화반궤진적오차,수정실제계통적반궤선성화모형,유효극복료반궤선성화수요피공대상정학건모적국한성,실현료고마혁、대공역、쾌각도궤동조건하적자태해우공제,병진행방진.방진결과표명:해우공제계통재기동랍편30%하초조소우7%,통도간교차우합소우1°,능구만족대상적공제요구.
The motion model of high-dynamic hear space vehicles is a multivariable nonlinear time-variant ancertain system.The traditional three-channel independent design method is no longer useful because it is based on little disturbance linearization theory and fundamental hypothesis of coefficient freezing method.Instead of that,a nonlinear design method is necessary which is fit for multivariable nonlinear time-variant uncertain plant.Based on differential geometry method and modern control theory,this paper suggested an approach of neural networks adaptive feedback linearization.The errors of precision linearization feedback matrix between actual model and nominal model were estimated by FCMAC neural network and the feedback linearization model was modified.It effectively solved the limitation of feedback linearization that needs accurate mathematic model.The difficult problems of attitude decoupiing control on hish-mach,large airspace and large angIe mobile condition were solved.The results of simulation on the condition of 30%aerodynamic interference show that the overshoot of decoupling control system is less than 7%,residual degree of channel cross decoupling is less than 1°,and the design can meet the control requirement for this kind of flying vehicles.