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self-tuning control中文是什么意思

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用"self-tuning control"造句"self-tuning control"怎么读"self-tuning control" in a sentence

中文翻译手机手机版

  • 自校正控制

例句与用法

  • A self - tuning control for the aeroengine is proposed
    提出了航空发动机的自校正控制方案。
  • Self - tuning control
    自校正控制
  • Simulation of speed - adjustment system on neural network self - tuning control for brushless dc motor
    基于神经网络的无刷直流电机调速系统的仿真
  • It provides an effective way to realize self - tuning control in air - conditioning systems
    该辨识算法为空调对象的自适应控制提供了重要的手段。
  • The parameters estimation with the least square method is applied to the open speed system . the least square estimation with forgetting factor and the least square error self - tuning control are applied to the close speed system and controller parameters arc obtained from estimation parameters directly
    采用最小二乘参数估计算法对某涡扇发动机低压转速进行开环辨识,采用带遗忘因子的最小二乘估和直接获得控制器参数的自校正控制对该系统进行闭环控制。
  • Based on compensation control thought , through using neural network pid controller as compensation tache of traditional pid controller , a kind of hybrid pid controller is designed . combined with neural network , self - tuning control can realized better control over non - linear system . utilizing the advantages of fuzzy control and neural network control , a kind of neural network adaptive fuzzy controller based on fast bp algorithm is presented and it may control the plant on line . at last , the hybrid pid controller is applied in tension system of h - section continuous rolling mills and tension - free control is realized . the simulation results show that it has better performance than traditional pid controller . at the same time , it provides some reference for the control of other similar systems
    在此基础上,基于补偿控制思想,利用神经pid对传统pid进行补偿,设计了一种混合pid控制器;神经网络与自校正控制的结合,使得自校正方法能对非线性系统实现比较理想的控制效果;利用模糊控制与神经网络控制各自的优点,提出了一种基于快速bp算法的神经网络自适应模糊控制器,能够对系统进行在线控制。最后将混合pid控制应用于h型钢连轧机张力系统中,实现微张力控制,仿真结果说明其较传统pid具有更好的性能,同时也为其它类似系统的控制提供一些参考。
  • ( 6 ) this dissertation makes a detailed study of the nn based adaptive control of nonlinear dynamic systems . two types of drnn controllers are designed using the experimental samples , which are named the open - loop controller and the close - loop controller respectively . the experimental mechanism is controlled on - line by means of the nn based direct self - tuning control strategy and the nn based indirect adaptive control strategy
    6 .本文对基于神经网络的非线性动态系统自适应控制方法进行了深入研究,利用实验输入输出数据离线设计了动态递归神经网络开环、闭环控制器,并分别采用基于神经网络的直接自校正控制方法与基于神经网络的间接自适应控制方法对弹性连杆机构实施了在线控制。
  • The feasibility and requirement of adaptive control applied to the control system are analysized . the model of the hydraulic servo system is created , simplified and dispersed . according to the characteristics and problems that exist in the control system of stretch - bending machine at present , the self - tuning control with pole placement is firstly introduced , which establishes the theoretical foundation for the development and research of the intelligent control system of the stretch - bending machine
    分析了拉弯机控制系统采用自适应控制的必要和性可行性;建立了液压伺服控制系统的数学模型,并进行了简化和离散化;根据目前拉弯机控制系统的特点和存在的问题,第一次把极点配置自校正控制算法引入拉弯机控制系统中,为智能化拉弯机控制系统的研究和开发奠定了理论基础。
  • 5 . applying the theory of adaptive control to electro - hydraulic position servo system , bring forward a adaptive control method based on regulating gain and damp , a adaptive control method of approach track based on parameter identification , a self - tuning control method of pole placement , a adaptive control method of general predictive
    将自适应控制理论应用于电液位置伺服系统,提出了基于增益和阻尼比调节的自适应控制、基于参数辨识的渐近跟踪自适应控制、极点配置的自校正控制和广义预测的自适应控制。
  • Then , as the substitute of the traditional pi controller , neuron adaptive psd controller is used to alternate the velocity loop of dc driver system , , simulation results show that the super - shoot in new system is small and the performance in the way of anti - disturbance and anti - time - varying parameters are higher than the traditional pi controller and robustness of the dc driver system improved greatly , , in addition , through analysis of the character of the neuron adaptive psd controller , the paper presents a neural network self - tuning control method for dc driver system in which the diagonal recurrent neural network is used to identify the plant to calculate the plant ' s sensitivity for psd controllers simulation results indicate that excellent static dynamic target was got with this control method and the performance of the system is improved greatly ,
    然后,应用单神经元自适应psd控制器改造调速系统的转速环,代替传统pi调节方式的转速控制器。仿真表明,新系统在超调、抗负载扰动和参数时变方面性能优于的传统的pi控制方式,系统的鲁棒性增强。在分析单神经元自适应psd控制器特性后,本文提出用对角递归神经网络辩识控制对象,为psd控制器提供灵敏度参数,从而构成一神经网络自校正控制方案。
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