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。
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。
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。
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。
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；
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。
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。
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。
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。
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。
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。
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。
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。
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。
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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