• 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。

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  • By the empirical methods are two of the PID controller parameters tuning.

    采用经验方法分别对上述两个PID控制器参数进行整定。

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  • Likewise the PID controller automatically increases the amount of the gas flowing to the heater.

    如果设定值比较低,PID控制器可以自动的减少流到发热器的气体的流量。

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  • 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。

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  • It is the single loop setting control system, which is adjusted by the PID controller and the frequency controller.

    本文介绍了一种高楼稳压供水系统的设计方案,它采用单回路闭环定值控制。

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  • 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。

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  • 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。

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  • Moreover, the PID controller is of better stability, so the fuzzy-PID control is adopted to achieve perfect control effect.

    PID控制器具有较强的稳定性,为了达到较好的控制效果把两种控制规律组合的一起组成模糊PID控制。

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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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  • 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。

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  • Secondly, this algorithm is applied to the PID controller tuning and the industrial design with restrictions. The results are fairly well.

    第二,将本文所提改进粒子群算法应用于工业PID控制器的参数整定,以及带约束优化的工业设计中,均取得了非常理想的效果。

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  • 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。

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  • 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。

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  • 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。

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  • During the shakedown period, the authors derived formulas to calculate the above set parameters and proposed a new concept to tune the PID controller.

    在调试期间,我方根据PID调节器的整定原则,得到两组可以计算五个整定参数的公式,现场结果证明所提出的计算方法和整定原则是很成功的。

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  • 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。

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  • 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。

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  • The results of simulation show that fuzzy-PID controller has better performance than the PID controller or fuzzy controller in such aspects as robustness,...

    仿真结果表明,模糊pid控制器与PID控制、模糊控制相比较,该控制具有鲁棒性强、动静态性能好、适应能力强等优点。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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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  • 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。

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  • 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。

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  • 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。

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  • 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。

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