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A nerve net controller have been designed on the basis of the hardware design of the AC servo system and system model. The controller include two forward nerve net with three layers . One is designed to identify the AC servo system model and another is to control. The controller use special learning algorithm which to control system at the same time and improve its constringency pace through introducing new MFBP algorithm. The intelligent control algorithmic is programmed using C++ language after the controller have been designed .

在该交流伺服系统硬件设计和系统数学建模的基础上,设计了神经网络自适应控制器,这个控制器包括两个三层的前馈神经网络,一个神经网络用于非线性系统的辨识,另一个神经网络作为控制器,此控制器采取边学习边控制的工作方式,并采用一种新型的MFBP算法实现了控制算法的快速性,在控制器设计完成的基础上,利用C++语言具体实现智能控制算法的编写。

The paper is based on the practical application of certain armed helicopter's barbette tracking system, which has discussed the model of AC servo system, the testing and modeling of certain micro-machined velocity gyro. The article also studied the tracking quality in which the system has used the motor encoder and the velocity gyro as the velocity loop feedback respectively.

以某武装直升机炮塔随动系统实际应用为背景,讨论了交流伺服系统的数学模型、微机械速率陀螺的测试与建模;研究了分别以电机编码器和速率陀螺输出信号作为速度环反馈时,系统输出的跟踪特性。

Servo system is a closed relation to and evidence difference to the common regulation speed system.

伺服系统是一种与普通电动机调速系统有着紧密联系但又明显不同的系统。

The book is divided into 10 chapters, including discrete and continuous system of PID control system, commonly used digital PID control, Expert PID and fuzzy PID control, neural PID control, genetic algorithm PID control, Multivariable decoupling PID control, several advanced PID control, gray PID control, PID control servo system, PID control in real time, ea

全书共分十章,包括连续系统和离散系统的 PID 控制,常用数字 PID 控制,专家 PID和模糊 PID 控制,神经 PID 控制,遗传算法 PID 控制,多变量解耦 PID 控制,几种先进的PID 控制,灰色 PID 控制,伺服系统 PID 控制,PID 实时控制,每种方法都通过 MATLAB 仿真程序进行了说明。

For the problem of parameter variation and nonlinear dynamic friction compensation, a recurrent-neural-network-based adaptive- backstepping control for servo system was proposed.

针对伺服系统的系统参数摄动和非线性动态摩擦补偿问题,提出基于递归神经网络的自适应反步控制系统设计方法。

The main composition and function of the system, the design and system software flowchart of APT servo system are described in detail.

文中详细论述该系统的主要组成及功能,APT伺服系统的设计和系统的软件流程。

The pneumatic friction clutch and brake of the mechanical press based on the former analysis is also investigated. The main research work is shown as follows:(1) The nonlinear mathematical model of the system is established, and the valve characteristics and the friction force of the system are tested.

本文主要进行了以下几个方面的研究: 1气动伺服系统是一个具有较强非线性的系统,本文建立了该系统的非线性数学模型,并对气缸的摩擦力及阀的特性进行了实验研究。

Optimal control of electrohydraulic position servo system is designed by using optimal control theories and Riccati equation.

应用最优控制理论和黎卡提方程对电液位置伺服系统进行最优控制的设计,得出最优控制系统的闭环传递函数,并结合算例,绘制出该系统的波德图,算例表明了该方法的有效性和工程实用性。

Simulation results show that the servo system with the designed controllers provides a good performance. At the same time, it reduces the sensitivity of the system performance to the controller parameter perturbation. Then, the robustness of the system are improved.

仿真实验结果表明,采用本文方法设计的鲁棒二自由度控制器性能很好,不但保证了伺服系统的动静态性能,而且降低了系统对控制器参数摄动的灵敏度,提高了系统的整体鲁棒性能。

This thesis DESign steel wire tension control system of Steel Billet Grinding Machine, and establish mathematical model of every component in electro-hydraulic proportional valve control dissymmetry hydraulic cylinder servosystem and the load with large inertia and flexibility system of Grinding Machine. Through the medium of matlab/simulink simulation, this thesis mostly analyses Pre-load impact of steel wire stress. Compare with the emulation result of non-feedback, force feedback, displacement feedback, thereby educe reliable conclusion.

本文设计了钢坯修磨机钢丝绳张力控制系统,并且对电液比例阀控非对称液压缸伺服系统的所有液压元件和修磨机柔性负载系统进行了建模,通过MATLAB/SIMULINK仿真,主要分析了预紧力对钢丝绳受力的影响,而且对开环无反馈、力环反馈、位移反馈的仿真结果进行了比较、得出了可靠的结论。

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然而,正如其名字所指出的那样,CD盘不能写,也不能用任何方式改变其内容。

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