研究了应用动态逆控制方法的设计途径。
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.
本文针对动态逆控制方法的不足之处提出了相应的改善措施，并取得了较为理想的效果。
According to the characters of Dynamic Inversion method in making multivariable control system decoupling, we design a set of control law for every direct lift control mode.
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.
网络的训练利用改进的BP算法，将因子模糊化快速进行。样本点数据则由利用动态逆控制所得到的结果来提供。
The networks are trained by the fast BP algorithm via fuzzy variables decision, and training samples are provided by the dynamic inversion control results.
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.
本方法以实际系统的输入输出信号为依据，实现系统建模，用被控对象传递函数的逆作为串联控制器来对系统的动态特性进行控制。
Using the input and output signal, the method can model the system, and can control the dynamical property of the system with the inverse transfer function of the controlled object as the controller.
仿真研究表明，SVM具有优良的逆模型辨识能力，基于模糊控制补偿的支持向量机逆控制系统的动态性能好、跟踪精度高、鲁棒稳定性强。
Simulations demonstrate that SVM has good nonlinear approximation capability for inverse model, and the proposed control system has good dynamic and static performances as well as good robustness.
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.
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.
接着，结合其存在的问题，对动态递归神经网络、R BF神经网络和自适应逆控制进行了算法研究。
Then, aiming at the existing problem, the algorithm of dynamic recurrent neural network, RBF neural network and adaptive inverse control is studied in the paper.
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).
利用相平面、等效控制量等方法研究系统的动态响应过程、滑模运动区域和逆变稳定输出范围等问题；
The sliding mode domain and equivalent control method are used to analyze the dynamic response process and steady range.
利用动态逆方法设计了快子系统控制律。
The slow subsystem control law is designed by Lyapunov method.
提出了一种飞机大仰角飞行的动态逆模糊集成控制方法。
This paper presents a dynamic inversion control method for high Angle - of - attack flight.
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.
使用动态逆和在线神经网络相结合的方法设计了无人直升机的指令控制器。
Design of a unmanned helicopter command controller using combination of dynamic inversion and a on line neural network is presented.
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.
用该综合方法对某型飞机的侧向直接力控制模态(航向指向)进行了分析与设计，并将其与动态逆方法进行了比较。
The design and simulation of the yaw pointing mode dynamic decoupling fuzzy control system for an aircraft are studied in this paper.
设计出的自适应逆控制系统，不仅可以得到好的动态响应，还可以使噪声和扰动减小到最小。
We can not only obtain good dynamic response, but also make the influence of noise and disturbance to the minimum.
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.
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.
逆变系统采用带前馈校正的变比例变积分系数的模糊控制器，提高了系统的动态响应指标；
The inverter system adopts digital fuzzy controller with feed forward correction and which proportion coefficient and integral coefficient is changeable, so dynamic response is improved.
文中通过输出重定义方法，设计合理的控制参数，稳定了系统的零动态，并将对象逆方法应用于自动驾驶仪设计。
In this paper, we used output redefinition method and design appropriate parameter to make systems zero dynamic be stable.
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.
从整体上对数字控制逆变焊机系统进行了仿真研究，提出用受控源的方法实现了动态电弧负载模型与系统的连接。
A system simulation study was done for full digital welding inverter, and a method of connecting dynamic arc load model to the system with controlled source was presented.
从整体上对数字控制逆变焊机系统进行了仿真研究，提出用受控源的方法实现了动态电弧负载模型与系统的连接。
A system simulation study was done for full digital welding inverter, and a method of connecting dynamic arc load model to the system with controlled source was presented.
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