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.
提出一种用最小二乘支持向量机(LS - SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。
A dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares-support vector machine (LS-SVM).
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.
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.
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.
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.
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.
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.
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.
首先使用动态逆方法求得系统的逆,使系统反馈线性化,然后,用具有在线规则自调整的模糊控制方法来确保系统的最终特性。
First, the aircraft dynamics is inverted to linearize the system dynamics. System performance is guaranteed by using fuzzy control method of. on -line self-tuning rules.
首先使用动态逆方法求得系统的逆,使系统反馈线性化,然后,用具有在线规则自调整的模糊控制方法来确保系统的最终特性。
First, the aircraft dynamics is inverted to linearize the system dynamics. System performance is guaranteed by using fuzzy control method of. on -line self-tuning rules.
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