And evaluate the performance of PID controller by the step response of the system.
并通过系统响应曲线图对设计的PID控制器的性能进行评估。
With the nonlinear and time variable characteristics of hydraulic turbine regulation system, high qualified speed adjustment system cannot be achieved with the conventional PID controller.
水轮机调节系统具有非线性和时变性的特性，传统的PID控制器无法获得高性能的调速系统。
For the voltage controlled system model, pole point method is taken to design the PID controller, and good result is achieved.
对于电压控制对象模型，采用极点配置的方法设计PID控制器，均取得了较为满意的控制效果。
By applying this method, the parameters of the PID controller can be confirmed easily and accurately, which provides convenience for engineering applications.
该方法可以方便、准确地确定PID控制器的参数，为工程应用提供了方便。
The controller achieves the adaptation of normal PID controller parameters on line by fuzzy inferences.
该控制器通过模糊推理实现PID控制器参数的在线调整。
Compared to the normal PID controller or the fuzzy controller, the finer control result was attained.
比常规的PID控制器或模糊控制器，可以达到更好的控制效果。
Grounded on that model, a piecewise PID controller with forward feedback is designed and simulated by Matlab, and the performance is better compared with PID control.
在建立的数学模型基础上，设计了加前馈加分段PID控制器，获得的控制效果优于PID控制。
A normal PID controller is used in industry, due to its simple structure and being realized easily.
常规的PID控制器由于结构简单、实现容易，在工业控制中被广泛应用。
So, this paper combines the advantage of traditional PID controller, in consideration of characteristics of realizing fuzzy control and puts forward the thoughts of the fuzzy PID controller.
因此，结合传统PID控制器的优点，同时，考虑到模糊控制实现的特点，提出了模糊pid控制器的设计思想。
We can design a new kind of controller which has the advantage of both minimum tempo controller and PID controller.
我们可以设计一种新的控制器同时具有两者的优点。
PID controller is widely used in the industry control process, but the parameters tuning is still a problem that people concerned.
PID控制器在当前的工业过程控制中仍有着广泛的应用，但其控制参数整定一直是难点问题之一。
The AMB using PID controller have big overshoot, weak disturbance rejection ability and difficult adjustment of parameters, so it is not satisfied.
但是传统的PID控制器用于磁力轴承的控制时，超调大，参数整定困难，抗扰能力差，难以取得满意的控制效果。
The ramp metering rate is determined by the PID controller whose parameters are tuned by fuzzy logic according to the density tracking error and error variation.
斜坡根据密度跟踪误差和误差变化情况，通过模糊逻辑对控制器参数进行调整，确定了测量速度。
Simulation results demonstrate that the control performance, stability, and adaptation of the intelligent controller are better than those of the conventional PID controller.
仿真结果表明：与传统PID控制器相比，该智能控制器的控制性能具有优越性。
The parameters of the neural network PID controller are modified on line by the improved conjugate gradient.
并用这种改进的共轭梯度法对神经网络PID控制器参数实现在线修正。
In the direct numerical control system of the computer, PID controller is realized by the PID controlling algorithm procedure.
在计算机直接数字控制系统中，PID控制器是通过计算机PID控制算法程序实现的。
Then introduced the connections of the recycling nitrogen pressure controlled process and PID controller and frequency inverter .
然后介绍回收氮气压力的控制过程及PID控制器与变频器的联接方式。
The performance of PID controller lies in the choice of proportional, integral and different coefficient.
PID控制器性能好坏的关键在于比例、积分和微分参数的选择。
In comparison with simulated experiments, the results show that the performance of the optimal PID controller is better than that of the conventional PID controller.
对比仿真试验的结果表明，设计出的最优PID控制器性能优于常规的PID控制器。
It perfects the properties of PID controller and improves the precision of control system.
进一步完善了PID控制器的性能，提高了系统的控制精度。
The design methods and further improvement of optimal PID controller for these plants are investigated respectively and a lot of simulation experiments are performed.
针对各类对象，分别讨论了基于稳定域最优PID控制器的设计及进一步改进，并进行了大量仿真实验。
In PID controller, the main feature is the overhead of large computation.
在传统数字pid控制器中，计算占据了大量的时间。
Designing the structure of betterment PID controller.
设计改进型PID控制器结构。
Next, the servo system's PID controller was designed.
设计了电液伺服系统数字pid控制器。
The stable design rules of the fuzzy PID controller were obtained based on its relationship with the traditional PID controller.
最后利用模糊PID控制器与传统PID控制器的联系，进一步推算出符合稳定性要求的模糊PID控制器设计规则。
The control system model consists of control strategy, sensors and actuators sub models. The control strategy is a PID controller.
控制系统模型包括控制策略、传感器和执行器模型，本文选用的控制策略为PID调节器。
The results of simulation show the new type of PID controller is better than the conventional type and it can be used on other no-linear complex mechanical systems.
仿真结果表明：该新型控制器控制效果比传统PID控制器好，在其他非线性复杂机械系统控制上也有一定的应用价值。
Fuzzy control technology was applied to design a two-input and three-output self - (adapting) fuzzy PID controller to control the water level of boilers.
文章应用模糊控制技术，设计一种二输入三输出自适应模糊pid控制器，对锅炉水位进行控制。
Simulation results show that the controller is better in comparison with traditional PID controller, and it has stronger robustness for the change of system parameters.
仿真结果表明，滑模变结构控制的性能优于常规的PID控制，在系统参数变化时表现出更强的鲁棒性。
Simulation results show that the controller is better in comparison with traditional PID controller, and it has stronger robustness for the change of system parameters.
仿真结果表明，滑模变结构控制的性能优于常规的PID控制，在系统参数变化时表现出更强的鲁棒性。
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