The PID controller is most commonly used for industrial applications.
PID控制器在工业领域应用最为广泛。
The improved particle swarm optimization (PSO) is used to optimize the PID controller parameters.
应用改进的粒子群优化算法优化PID参数。
The PID controller based on BP neural networks is designed to realize control parameter self-learning and self-adjusting.
设计了基于BP神经网络的PID控制器，实现PID控制器参数自学习、自整定。
When using the PID controller has not yet reached technological requirements, you need to consider other control options.
当采用PID控制器还达不到工艺要求，则需要考虑其它的控制方案。
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。
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。
A new neural network controller is proposed based on the PID controller structure. Its basic structures and learning algorithm are analysed.
根据PID控制结构提出了一种新型神经网络控制器，对其基本结构和学习算法等进行了分析。
The PID controller based on microprocessor solved the problem that the parameter cann't be change flexibly in traditional analog PID controller.
基于微处理器的数字PID控制器改变了传统模拟PID控制器参数整定不灵活的问题。
In order to improve the precision of the control modules, use 16 fixed-point of computing the PID controller of the design, and optimize the design.
为了提高整个设计模块的控制精度，采用16位定点运算的方法进行PID控制器的设计。
Analyses the inadequacy of the PID controller in current application, give a fuzzy adaptive PID controller and simulate with MATLAB simulation software.
分析了目前应用的PID控制器的不足，提出了一种模糊自适应PID控制器，并利用MATLAB软件对其进行了仿真。
Aiming at the problem of the PID controller using in cooler, this article provides a self - adapting PID controller to control the clinker level of cooler.
本文针对传统PID控制器在冷却机应用中存在的问题，提出了一种自适应pid控制器实现冷却机熟料料层的自动控制。
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。
Recursive least square method was used to adjust the parameters of the PID controller, which was applied in three-element control system of boiler drum level.
利用递推最小二乘法循环调整P ID参数，并将该控制器应用于锅炉汽包水位三冲量控制系统。
The PID controller is composed of the equivalent interference signal, the controlled objects, the object model, IMC, feedback filter and reference input filter.
该控制器由等效扰动信号、被控对象、对象模型、内模控制器、反馈滤波器及参考输入滤波器组成。
The result showed that the PID controller optimized by genetic algorithms had higher accuracy and stronger adaptability and it can get satisfying control effect.
仿真结果表明，经过遗传算法优化的PID控制器具有较高的精度和较强的适应性，能获得满意的控制效果。
The PID controller has a simple structure and doesn't rely on the math model, the integral action included observes and restrains the uncertainties of the plant.
该控制器结构简单，易于实现，且不依赖对象数学模型，所包含的积分环节能有效观测并抑制对象中存在的不确定性。
The self-adaptive theory is introduced into the control system and parameters of the PID controller are adjusted automatically under the self-tuning PID control law.
把自适应控制理论引入到微驱动器的控制中，在参数自校正PID控制律的作用下，实现了PID控制器参数的自动整定。
By comparing the PID controller algorithm and fuzzy controller algorithm we obtained that anti-delay quasi-PI controller algorithm has a good robustness and immunity.
通过与PID控制算法、模糊控制算法对组合积分系统控制效果比较发现，抗时滞伪PI控制算法具有良好的鲁棒性和抗干扰性。
We will use the fuzzy theory to the application of the PID controller design, and produced the fuzzy PID controller design method, in which the parameters might adjust.
我们将模糊控制理论应用于PID控制器的设计，给出了参数可调整的模糊pid控制器的设计方法。
Finally, the movement of tracking and aiming was analyzed, and according to actual system parameter, emulated and analyzed dynamic model with MATLAB based on the PID controller.
最后，分析了系统跟瞄的特性，并根据实际参数，运用Matlab对其运动过程进行了基于PID控制器的数值仿真及分析。
A method of auto tuning parameters for PID controller based on the Pan Boolean algebra is introduced according to its parameters which affect the performance of the PID controller.
针对多纸种造纸机纸页定量控制系统的特点，提出了一种基于泛布尔代数的自整定pid控制方法。
Simulation studies demonstrate that the AIMNC strategy exhibits better control performance and robustness to model uncertainties and variation of operation points than the PID controller.
仿真结果表明，与PID控制器相比，神经网络近似内模控制器能较好地抑制系统模型不确定性和工作点变化的影响。
By using stair-like tactics, the calculation complexity of parameter tuning is reduced effectively, and it is easier to regulate the quality of the PID controller by changing stair factor.
利用阶梯式控制策略，有效地减小了参数整定中的计算复杂性，并能更方便地通过阶梯因子对所得pid控制器的控制性能进行调节。
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。
In view of the speed response requirement and the parameter time-variation of electro-hydraulic position servo system, the PID controller and the fuzzy controller are designed respectively.
针对电液位置伺服系统的快速性要求和参数时变性的特点，分别设计了PID控制器和模糊控制器。
In view of the speed response requirement and the parameter time-variation of electro-hydraulic position servo system, the PID controller and the fuzzy controller are designed respectively.
针对电液位置伺服系统的快速性要求和参数时变性的特点，分别设计了PID控制器和模糊控制器。
应用推荐