• The parameter of the controller can be auto-adjusted by the error, error change and the integral value. It makes the fuzzy controller have the ability of self-adaptive.

    该控制器能够根据系统的误差、误差变化及误差积分值自动调整控制器的控制参数,使模糊控制器具有自适应的能力。

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  • 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。

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  • Based on the feature of the nc system and its performance demands, this paper brings forward a self-adaptive fuzzy PID controller to realize PID parameters self-adaptive online.

    针对数控机床进给系统特点及其性能要求提出了一种参数自整定模糊pid控制器,利用模糊推理的方法实现对PID参数的在线自动调整。

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  • Abstract: Aiming at the nonlinear and time-varying characteristics of freeway traffic system, a fuzzy self-adaptive PID controller is designed and applied to freeway ramp metering in this paper.

    摘要:针对高速公路交通系统的非线性、时变特性,设计了一种模糊自适应控制器,并将其应用于高速公路匝道控制系统。

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  • This paper presents a new self-adaptive current controller based on hysteresis control and predictive control.

    文章提出了一种基于滞环控制和预测控制的自适应电流控制器。

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  • The controller includes several self adaptive controllers operating in parallel. The stable signal is obtained by weighting of these controllers.

    它包括几个自适应控制器且并联工作,稳定信号由这几个控制器加权获得。

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  • The experimental results show the single neuron PID can take the place of traditional PID controller and it has simple structure and can be implemented easily with strong self-adaptive ability.

    实验结果表明:单神经元pid控制器可以代替传统的PID控制器,其结构简单、易于实现并且具有较强的自适应能力。

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  • Aiming at the position of the lance in water station of steel works, a self-adaptive fuzzy controller is designed.

    针对炼钢厂水站系统中的氧枪枪位控制,设计了一种自适应模糊控制器。

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  • This paper introduces a control algorithm for self-tuning adaptive controller.

    介绍了一种自校正自适应控制器的控制算法。

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  • Both simulation and practical application results show that this controller has strong robustness and the capabilities of self learning and adaptive decoupling.

    经仿真研究及实际运行表明,多层神经网络PID控制器具有很强的鲁棒性、自学习功能和自适应解耦功能。

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  • This paper introduced a control algorithm for self-tuning adaptive controller.

    本文介绍了一种自校正自适应控制器的控制算法。

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  • Combined with control characteristics of engine air fuel ratio, the CMAC controller which is self adaptive to compensate fuel injection volume is studied.

    结合发动机空燃比的控制特征,研究了一种能自适应补偿喷油量的CMAC控制器。

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  • It also put forward to apply the algorithm of global predictive control with self-adaptive in the power control of nuclear reactor, including control structure and the device of controller.

    提出将广义预测自校正控制算法应用于反应堆功率控制中,包括控制结构和控制器设计。

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  • The results show that the neutral network controller has shelf-learning and self-adaptive functions, and has better control effect in speed tracking, compared with traditional PI controller.

    仿真结果表明,相对于常规PI控制器,该神经网络控制器具有自学习,自适应功能,速度跟踪获得了满意的控制效果。

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  • A self adaptive inversion controller for UAV landing based on on-line neural network is designed in this paper.

    基于在线神经网络设计了无人机着陆飞行自适应逆控制器。

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  • A kind of structure adaptive self tuning controller is proposed, which is composed of the varying order recursive least square method and a varying structure control law.

    针对时变结构系统提出一种结构适应式自校正控制器,它由变阶式递推最小二乘法和变结构控制律组成。

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  • Air and fuel controlling of this stove are realized by PI controller, and temperature controlling adopts self adaptive genetic fuzzy controller.

    热处理炉空气、燃料的控制均采用遗传算法优化的PI控制,炉体温度控制采用自适应的遗传模糊控制器。

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  • This paper presents a design method of self-adaptive fuzzy controller by the analysis to the basic fuzzy controller.

    本文通过对基本模糊控制器的分析,给出了一种自适应模糊控制器的设计方法。

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  • A adaptive PID controller is presented for the time-variant and uncertainty of simulator system. The self-tuning of PID parameters online is realized using the controller.

    针对仿真转台系统的时变性、模型的不确定性等特点,提出采用基于遗传算法的PID自适应控制器,实现控制器参数的在线自寻优。

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  • This paper proposes a design of the self adaptive learning fuzzy controller based on Genetic Algorithms optimization.

    本文提出一种基于基因算法优化的自学习模糊控制器的设计。

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  • Based on the nonlinear system of TCSC (Thyristor Controlled Series Capacitor), a direct self-adaptive fuzzy controller is designed.

    针对可控串补非线性系统,设计了一种直接自适应模糊控制器。

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  • The result of simulation shows that this neural network fuzzy controller features self-learning and self-adaptive capabilities, and the purpose of on-line control is accomplished.

    仿真结果表明,所设计的神经网络模糊控制器具有自学习、自适应等优点,达到了在线控制的目的。

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  • Apply fuzzy self-adaptive PID controller to control the DC timing system and design three self-adaptive PID controllers which adjust the PID parameters respectively in real-time way.

    利用模糊自适应PID控制器对直流调速系统进行控制,设计了三个自适应模糊控制器分别实时调整PID参数。

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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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  • A discussion is devoted to the design of a self adaptive and nonlinear dynamic neural network inversion controller according to the feedback linearization theory.

    根据反馈线性化理论,讨论了神经网络自适应非线性动态逆控制设计。

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  • A new type of adaptive PID controller using diagonal recurrent neural network (DRNN) is presented. An on-line learning algorithm based on PID parameter self-tuning method is given.

    提出了一种基于对角回归神经网络的PID控制器结构,给出了PID参数在线自整定的学习控制算法。

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  • The fuzzy self-adaptive PID controller was designed according to the characteristic of sugar crystal process in this paper.

    针对蔗糖结晶过程的控制特点,设计模糊自适应PID控制器。

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  • This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.

    这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法,无需知道太多的专家控制规则,因此解决了制冷系统MIMO模糊推理规则难以获取的问题。

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  • It combines the fuzzy controller and the self-adaptive unit, achieving the undulatory control of the flexible fin in uncertain environments.

    它将模糊控制器和自适应单元相结合,解决了不确定环境下柔性长鳍的波动控制问题。

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  • It combines the fuzzy controller and the self-adaptive unit, achieving the undulatory control of the flexible fin in uncertain environments.

    它将模糊控制器和自适应单元相结合,解决了不确定环境下柔性长鳍的波动控制问题。

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