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servo相关的网络例句

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Hydraulic servo-system Fault detection Dynamic neural network Output recurrent network

液压伺服系统;故障检测;动态神经网络;输出递归网络

The solutions of maximum measurement range and the methods to increase the measurement are given in the condition of stable state and the restricted parameters. How to compensate dynamic performance of servo-system and the analysis of response of system in different inputs are given, too.

主要包括:敏感质量偏心距、横向加速度干扰和外加偏压对传感器稳定性的影响,给出稳定和参数受限条件下最大量程的求解以及提高量程的方法,研究如何补偿伺服系统动态性能,以及不同输入条件下系统响应的分析。

The results obtained from simulation with MATLAB tools and tests, show that dynamic and steady performance and the Robustness of the improved servo-system has been increaded.

利用MATLAB工具进行仿真,结合试验结果表明,改造后的系统鲁棒性较好,稳态性能和动念性能提高。

This positioning servo-system consists of a 16 bits microcomputer, PWM, and optocoders.

摘要本系统由十六位工业控制机、脉宽调速系统、光电编码器三者组成。

In the article, stepper motor controlled by CAN bus is studied; controller of single stepper motor is designed; the motion of step servo-system controlled by CAN bus is researched.

重点研究了通过CAN总线控制的步进电机,设计了模块化步进电机控制器,研究了CAN总线控制步进伺服系统的运动。

For servo-system of permanent magnet linear synchronous motor, the paper gave a new fuzzy controller with self-organizing and self-regulating factor .

就PMLSM伺服系统,应用新型的自组织自整因子模糊控制器。

Finally, demonstrate the validity of least square identification method with restricted memory by comparing the mathematic model of this non-symmetrical hydraulic servo-system with actual system's output.

并将限定记忆最小二乘辨识方法所得的辨识模型同实际系统的输出进行了对比和验证,证实了限定记忆最小二乘辨识方法的有效性。

According to the features of the fault diagnosis system, a dynamic neural model-output recurrent network, which fits for real-time fault detection is applied to the fault detection of a displacement servo-system.

根据故障诊断系统的特点,采用输出递归神经网络对某液压位置伺服系统进行了故障检测研究。

Department of Automation, University of Science and Technology of China, HeFei 230027)Abstract: This paper presents a method of neural network for interactive-force manipulator on the base of kinematics and analyses of the explosive force of human arm mode and neural network theory such as function approach, optimizing calculation. The method optimizes the whole servo-system, and ensures the system's robust.

中文摘要:本文根据关节机械臂的运动特性,在分析用于测试人体手臂运动爆发力机械臂模型设计的基础上,利用人工神经网络的函数逼近、最优化计算等方面理论,结合实际人-机力交互系统的控制特点,提出一种神经网络控制方法,对基于力控制策略的机械手伺服系统进行优化,同时保证了系统的鲁棒性。

Simulation and analysis are made respectively under different situation of delay. Fuzzy adaptive controller that can adjust the system parameters appropriately is designed to minimize the error caused by Network-Induced Delay. Simulation is realized of this controller in NCS. Experiments are carried on the Servo-System based on Field Bus. The results of simulations and experiments indicate that good performance can be achieved with the method presented above.

为改善网络时延给系统带来的影响,设计了可以适当调整控制器参数的模糊自适应控制器,对含该控制器的网络控制系统进行了仿真,并在构建的基于现场总线的伺服系统实验平台上进行了实验,仿真和实验验证了在网络控制系统中使用该算法可以达到满意的控制效果。

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