基本姿态控制器采用基于在线神经网络的非线性动态逆控制器。
The nonlinear dynamic inversion controller based on online neural net is adopted for the attitude control loop.
本文讨论了一种具有在线误差补偿的非线性动态逆控制器设计方案。
In this paper, it is discussed how to design an online error compensator for a fight control system by the method of nonlinear dynamic inverse.
根据反馈线性化理论，讨论了神经网络自适应非线性动态逆控制设计。
A discussion is devoted to the design of a self adaptive and nonlinear dynamic neural network inversion controller according to the feedback linearization theory.
基本控制律采用非线性动态逆方法设计，神经网络用于对逆误差进行重构。
The base control law is designed in dynamic inversion and neural networks are used to reconstruct inversion error.
针对过失速机动飞机探讨了非线性动态逆方法在飞行控制系统设计中的应用。
This paper discussed the application of this method in the design of flight control system for the post stall maneuver.
基于非线性动态逆理论，设计了亚轨道可重复使用运载器（SRLV）的再入控制律。
The objective of this paper is to design the reentry flight control laws for the Suborbital Reusable Launch Vehicle(SRLV) based on nonlinear dynamic-inversion.
在此基础上，利用非线性动态逆方法，设计了系统在额定风速以上工作时的桨距角控制律。
On the basis of this model, the nonlinear dynamic inversion method was applied to design the pitch Angle controller of the system working above the rated wind speed.
论述了综合运用非线性动态逆、自适应模糊系统和滑模控制的优点进行飞行控制律设计的方法。
The design of the flight controller that exploits the advantages of the nonlinear dynamic inversion, adaptive fuzzy system and slide model control is discussed.
利用多重时间尺度奇异摄动理论，结合非线性动态逆方法设计了基本姿态控制器，包括快逆回路和慢逆回路两部分。
According to the singularity perturbation theory, dynamic inversion is adopted to design the basic attitude controller including fast inverse loop and slow inverse loop.
对一般非线性系统，推导了一种综合运用非线性动态逆、自适应模糊逻辑系统和滑动模态控制进行控制律设计的方法。
For general nonlinear system, a control law design method which integrated the nonlinear dynamic inverse theory, adaptive fuzzy system and slide model control is developed.
飞机的基本控制律采用非线性动态逆方法设计，对于模型不准确和舵面故障等因素导致的逆误差采用神经网络进行在线补偿。
The base control law is designed in nonlinear dynamic inversion, and neural networks are used to cancel the inversion error induced by many reasons, especially by actuator failures.
根据逆最优控制方法，针对非线性系统，提出了利用动态神经网络产生混沌的一种新方法。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
动态逆控制器用来对消无人机的非线性，在线神经网络补偿对消不精确引起的状态误差。
The dynamic inversion controller is used to eliminate the nonlinearity and the online neural net is used to compensate the state error caused by the elimination imprecision.
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
非线性动态系统的内模控制要求建立精确的对象正模型和逆模型，这对于大多数实际对象是难以做到。
In the internal model control design for nonlinear systems, the precise forward and inverse models of plant are required, but it is impossible in the majority of practical plants.
本文的目标是采用逆系统方法来达到对一类特殊的非线性连续动态系统的跟踪控制。
The objective of this paper is to achieve tracking control of a class of special nonlinear dynamical continuous system using the inverse system method.
设计中使用了2个神经网络，经离线训练的NN1实现非线性系统的逆，在线网络NN2用于补偿逆误差和系统的动态特性变化。
Two neural networks are used, the inversion of nonlinear systems is realized by off-line trained NN1, on-line NN2 is used to compensate inversion error and varieties of system dynamic property.
设计中使用了2个神经网络，经离线训练的NN1实现非线性系统的逆，在线网络NN2用于补偿逆误差和系统的动态特性变化。
Two neural networks are used, the inversion of nonlinear systems is realized by off-line trained NN1, on-line NN2 is used to compensate inversion error and varieties of system dynamic property.
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