Researching on the non-linear PID controller.
非线性PID悬浮控制方法研究。
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。
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。
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。
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。
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。
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。
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。
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。
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。
Neural network intelligence PID controller has many advanced properties compared with traditional PID controller.
同传统的PID控制相比较，神经网络智能PID控制有许多优点。
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。
The new one not only have agility and good robustness of blur control but also possess high precision of PID controller.
它既具有模糊控制灵活、鲁棒性好的优点，又具有PID控制精度高的特点。
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。
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。
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。
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。
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 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。
With the use of the auto-tuning optimal PID controller, the optimal control over the air temperature in the greenhouse is realized.
采用参数自整定最优PID控制算法，实现了温室温度的优化控制。
Based on IFT and classical PID controlling theory, an IFT-PID controller, which can self-tune the PID parameters online, is developed.
将迭代反馈整定方法引入到传统的PID控制器中，构成一种IFT - PID控制器，该控制器能够完成PID参数在线自整定。
According to the non-linear mapping relations between PID controller each control variable and error, design non-linear PID controller.
根据PID控制器各控制参数与偏差之间的非线性映射关系，设计非线性PID控制器。
In the path tracking module, adopt the beforehand aiming arithmetic based on PID controller, including the speed control and turning control.
在路径跟踪模块中，采用了基于PID控制器的预瞄控制算法，包括速度控制和转向控制。
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。
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。
Keeping the zeros and poles of the PID unchanged, an adaptive PID controller is presented using the proposed recursive algorithm in the closed-loop system.
在确保PID零极点不变的基础上，将开环递推整定算法引入到闭环系统中，提出了自适应pid控制算法。
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 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。
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。
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