• Afterwards, the PD-controller of electrode regulator system of electric arc furnace is designed and simulated on MATLAB6.5 by compiling and debugging M-files.

    在MATLAB6.5环境下,通过编写和调试m文件,对电弧炉电极调节系统PD控制器进行设计与仿真。

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  • A nonlinear design approach is presented to improve the performances of PD controller.

    为了提高PD控制器的性能,提出了一种非线性设计方法。

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  • The PD controller of suspension gap and flux feedback is designed. The magnetic field measurement method is given based on the characteristics of the maglev train.

    设计磁通反馈与悬浮间隙的PD控制器,并根据磁悬浮列车特点,给出磁场测量方法。

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  • Firstly, a PD controller is used to stabilize the inverted pendulum, and the inverted pendulum′s input and output are sampled.

    首先,采用PD控制器控制倒立摆,采集倒立摆的输入输出数据;

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  • It is introduced that by using interference forecast combining with PD operation and expert controller, better control result could be obtained in locomotive operation under low and constant speed.

    介绍在机车低恒速运行中,运用干扰预测,结合PD运算和专家控制器,可获得较好的控制效果。

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  • The controller consists of a linear PD feedback part, a nonlinear adaptive feedback part to compensate for the dynamics of robot and a robust control part to compensate for the uncertainties of model.

    该控制器由三部分组成:线性PD反馈项,补偿动力学的自适应控制项,补偿建模不确定性的鲁棒控制项。

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  • As for the SISO system with self-balance, a new PD fuzzy controller based on the steady response of its open loop step input is introduced.

    针对一类具有自衡特性的SISO系统,借助其开环阶跃输入稳态响应所提供的信息设计了一个新颖的PD型模糊控制器。

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  • The structure of the fuzzy controller is analytically analyzed and related to the PD controller.

    该模糊控制器的结构被解析地分析并与PD控制器相联系。

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  • The direction changing control adopts the incomplete differential PD controller. The speed control adopts the PID controller.

    转向控制采用不完全微分PD控制器,速度控制采用PID控制器。

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  • The traditional PID/PI controller is replaced by the combination of CMAC and PD controller, and it is applied on the DC motor based on DSP.

    采用小脑模型神经网络(CMAC)控制器与常规PD控制器相结合的自适应控制器,取代常规的PID或PI控制器,实现对直流电机的控制,并基于DSP来实现。

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  • Fuzzy Neural Network combined with conventional PD controller is used for the kinematics control and a fuzzy rule extraction method is put forward.

    采用模糊神经网络结合常规PD控制器的方法来进行机器人的运动控制,提出了提取模糊规则的方法。

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  • The simulation results show that the strategy is more effective in improving the performance of power steering and robustness than the conventional PD controller.

    仿真结果表明,基于模糊pd控制的电动助力转向系统比传统PD控制具有更好的助力特性和抗干扰能力。

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  • This paper proposed a fuzzy sliding PD-type position controller for vector controlled induction motor servo drive.

    针对矢量控制交流感应电机伺服系统,提出并设计一种模糊滑模pd型位置控制器。

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  • A simple method to obtain the parameters of the PI-PD controller through the parameters of the PID controller was introduced, and the simulation examples proved the validity of this method.

    介绍了通过PID控制器参数得到PI - PD控制器参数的简单方法,并通过仿真举例证明了方法的正确性。

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  • A simple method to obtain the parameters of the PI-PD controller through the parameters of the PID controller was introduced, and the simulation examples proved the validity of this met...

    介绍了通过PID控制器参数得到PI - PD控制器参数的简单方法,并通过仿真举例证明了方法的正确性。

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  • The simulation results prove that the neural network controller has self-learning and self-adaptive ability by comparison with PD controller. The position tracking control obtains satisfactory effect.

    结果表明,相对于常规PD控制器,该神经网络控制器具有自学习、自适应功能,位置跟踪获得了满意的控制效果。

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  • This paper presents an adaptive PD type fuzzy logic speed controller, which is applied to fuzzy direct torque control system.

    本文设计了一种自适应模糊pd型速度调节器,应用于模糊直接转矩控制系统。

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  • The PSE typically includes a controller that controls the DC power provided to the PD at the second node of the communications link.

    PSE通常包括控制 器,其控制提供给通信链路的第二节点上的PD的直流电。

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  • A nonlinear PD controller is presented in this paper and is used in the design of the control laws for an automatic terrain following flight control system.

    提出了一种非线性PD控制方法,并将其应用在自动地形跟随系统飞行控制律的设计中。

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  • This simplifies the problem of selecting the four tuning parameters of the PI-PD controller.

    这样就使得PI-PD控制方法中四个调谐变量的选择问题变得简单了。

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  • This simplifies the problem of selecting the four tuning parameters of the PI-PD controller.

    这样就使得PI-PD控制方法中四个调谐变量的选择问题变得简单了。

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