英语人>网络例句>self-actuated controller 相关的网络例句
self-actuated controller相关的网络例句

查询词典 self-actuated controller

与 self-actuated controller 相关的网络例句 [注:此内容来源于网络,仅供参考]

This paper develops a new design method of self-tuning pole placement controller. In this method, parameters of the controller can be directly obtained by a two level linear identifier. It is unnecessary to find the solutions of Diophantine Equation and identify the extra auxiliary parameters. At the same time, the effect of deterministic disturbances can be eliminated.

提出了一种极点配置自校正控制器的设计方法,这种方法用两级线性辨识器可直接获得控制器参数,无需求解Diophantine方程,也不需要辨识多余的辅助参数,而且可以消除确定扰动的影响。

Because of shortcomings of fuzzy controller,a fuzzy controller of self-tuning proportionality factor based on PI arithmetic is presented.

0引言模糊控制是以模糊集合论、模糊语言变量及模糊逻辑推理为基础的计算机智能控制。它不要求知道被控对象的精确数学模型,只需要提供现场操作人员的经验知识及操作数据。

B/S Construction is used in this system, in which the application and management are separated by the proscenium and the greenroom. The controller can carry out the first usage through the proscenium and the greenroom to arbitrarily add, delete and revise the self-defined function and look through something about the registered information and ordered goods through the controller at backstage.

该系统采用B/S结构,通过前台后台将对该系统的应用与管理分开,管理员通过后台可对前台页面相关模块数据进行初始化,可实现任意的添加、删除、修改等自定义功能,通过后台管理员还可随时查看用户的注册消息及订货情况。

First designed two advanced fuzzy controller. One is △k〓,△k〓,△k〓 tuned adaptive fuzzy PID, the other is parameter self-regulated fuzzy controller with coarse and accurate fuzzy query table and integral factor.

首先,设计了两种先进实用的模糊控制器——利用修正值△k〓,△k〓,△k〓调节的模糊自调整PID控制器和带粗/精调功能且含积分环节及参数自调整的模糊控制器。

The control accuracy of neuron self-learning PSD controller was high than PID and basic fuzzy controller because of on-line detecting actual and desired output of welding process.

神经元自学习PSD控制器由于在线检测焊接过程的实际输出与期望输出。

The result of simulation in Simulink proves that the fuzzy self-adjusting PID controller has small overmodulation,short response time,good dynamic and static quality by comparing with the traditional PID controller.

采用模糊推理的方法实现PID参数kp、ki和kd的在线自整定,不仅保持了常规PID控制系统原理简单、使用方便、鲁棒性较强等优点,而且具有更大的灵活性、适应性,控制精度更好,是目前较为先进的一种控制系统。

Three kinds of arm's robust control theorys are designed: the torque control based on FNN controller, the computed torque control with sliding mode compensation and the computed torque control with WNN compensation. FNN syncretizes the reasoning ability of fuzzy control and parameters' self-learning ability of neural networks. It does not depend on the precision of the mathematical model, and can overcome the impact of the uncertainty effectively. So FNN is regarded as the manipulator controller and used to the trajectory tracking of arm control. The computed torque control with sliding mode compensation is designed.

在此基础上,研究了机械手臂的鲁棒控制法,分别设计了基于模糊神经网络的机械手臂力矩控制方法、基于滑模变结构控制补偿的机械手臂力矩控制方法以及基于小波神经网络补偿的机械手臂力矩控制方法,具体内容如下:模糊神经网络融合了模糊控制的推理能力和神经网络的参数自学习能力,它不依赖于对象精确的数学模型,能有效地克服被控对象存在的不确定部分的影响,本文把模糊神经网络作为机械手臂的关节伺服控制器,通过对网络参数的学习训练来调整机械手臂关节的控制力矩,实现对机械手臂的轨迹跟踪控制。

Aiming at the characteristics of car retarder control system and its performance requirement, a fuzzy self tuning PD controller for retarder control is designed. It takes speed error and its change as fuzzy variables to determine the fuzzy control rules. Using the determined rules, the parameters of PD controller is adjusted on-line, which can be adapted well to required speed and the process parameter variation of retarder feedback control.

针对车辆减速器控制系统的特点和性能要求,设计减速器模糊在线自校正控制器,以调速过程中速度误差及其变化为输入语言变量,建立模糊控制规则;根据模糊控制规则在线调整PD控制器的参数,使控制器能较好地适应减速器闭环控制定速设定及过程参数时变。

Adhibiting the nerve cell and qurdratic capability target, by the self-adapting self-studying consistent and better abiding of the nerve cell ,the thesis realizes the conforming of the parameter not depending the canal mathematics ,furthermore the parameter can self-adjust for the information of the canal.Combining the BP nets and the routine PID controller, and adhibiting the linear optimization target function, the thesis realizes the conforming of the parameter not depending the canal mathematics, furthermore the parameter can self-adjust for the information of the canal. Using the MATLAB the thesis simulates and acquires some significative effects.

在传统PID渠道控制中引入了神经元和二次型性能指标,利用神经元自适应、自学习、并行处理及较强的容错能力,实现了PID控制中参数的整定不依赖于渠道数学模型,且PID参数能根据渠道的适时信息在线调整以满足适时控制的要求将BP网络与常规PID控制结合,并引入了最优化目标函数,利用BP网络来实现PID控制器参数的在线整定,将其运用于渠系等体积控制,并利用MATLAB软件进行了数值模拟仿真,取得了一些有意义的成果和较为满意的结果。

This control approach is applied to a hump yard speed control system. The experimental results show that the fuzzy self tuning PD controller has better performance, and is more robust than normal PD controller. It is useful to improve the speed control precision of retarder control system.

本控制方法在实际系统中进行了试验,结果表明,与常规PD控制相比,模糊在线自校正PD参数控制器有较好的控制性能和较强的鲁棒性,可使系统的控制精度有明显的提高。

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