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自适应控制

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So we designed a adaptive synchronizing controller based on hereinbefore hardware environment: first a small magnitude reference signal r is outputted to system through the signal card (to ensure that the vibrating system works in a linear state), and this signal is sent to the moving coil of vibrator through the power amplifier, so vibration is produced through electromagnetic induction. Secondly the vibration signal can feedback to the data acquiring card in the servo system through the acceleration sensor on the Vibroseis reactor M〓 and the base-plate M〓, then the computer can get the current vibrating state y〓 of the coil of vibrator according to the feedback information from the data acquiring card, and give a real time comparing between the current state y〓 and the reference output y〓 of the set-in reference model with current reference input being r , then regulates the correlative controlling parameters according to the error e〓=y〓-y〓 till y〓→y〓, finally normal signal sweeping begins with a certain phase fixed. Meanwhile a synchronization signal for seismic signal record is sent to seismograph from synchronization signal outputting component in the Vibroseis system to perform the controlling process of synchronization of sweeping phases.

为此,我们基于以上的硬件环境设计了一个自适应同步控制器:首先通过信号发生卡对系统输出小幅度的参考信号r(从而保证振动系统工作处于线性状态),信号通过前置放大器、功率放大器等送到激震器动圈,并通过电磁感应产生振动,振动信号通过可控震源激震器反应块M〓和基板M〓上的加速度传感器反馈给伺服系统中的数据采集卡,工控计算机根据采集卡的反馈信息,获取当前激震器动圈的振动状态y〓,并实时地将该状态与内置的参考模型在当前参考输入r下的参考输出y〓进行辨识,再将两者输出误差e〓=y〓-y〓对系统的有关控制参数进行调整,直至y〓→y〓,最后在经过某一固定的相位后,开始信号的正常扫描过程,与此同时,由可控震源系统的同步信号输出部件向地震仪送出一地震信号记录同步信号,进而完成扫描相位同步控制过程。

The simulation results show: at the different speed grade,comparing with passive control,the improving-rate of acceleration maximum is 55%~64% by using self-adaptive fuzzy control,the reducing rate of acceleration virtual value is 55%~77%,and the improving rate of Sperling′s ride index is 16%~35%.

仿真结果表明:在重载机车不同运行速度下,与被动控制相比,自适应模糊半主动控制的加速度最大值改善率、加速度有效值减少率和Sperling 乘坐指数提高率分别为55%~64%,55%~77%和16%~35%。

According to the character istics and control quality for tensile force of paper,the module of control system is estimated and a fuzzy PID controller with adaptive ability is put forward in the paper.

根据造纸过程中纸张张力的特点及控制要求,建立了控制系统的数学模型,提出了一种具有自适应能力的模糊PID控制器,分析了控制器的结构和规则。

According to the character istics and control quality for tensile force of paper,the module of control system is estimated and a fuzzy PID controller with adaptive ability is put forward in the paper.The structure and regulation of the controller are analyzed.

根据造纸过程中纸张张力的特点及控制要求,建立了控制系统的数学模型,提出了一种具有自适应能力的模糊PID控制器,分析了控制器的结构和规则。

According to the knowledge obtained from road tests, proposed in this paper is an ABS control strategy highly adaptive to different road surfaces and braking conditions based on the widely used logic threshold control method.

文中根据大量道路试验获得的知识,在普遍采用的逻辑门限值控制方法的基础上提出了一种能够对不同路面和制动工况具有广泛自适应能力的ABS控制策略。

The simulative results show it can improve the transient stability and voltage stability of power systems effectively.

本文提出了用于ASVG控制的自适应模糊控制算法,并进行了仿真研究,结果表明本方法可以有效地改善电力系统的暂态稳

This paper presents a design method of fuzzy PI parameter adaptive con troller in order to settle better the nonlinear problem of parameters ' changing in direct torque control .

为了更好地解决直接转矩控制系统中的变参数非线性问题,提出了一种适用于异步电动机直接转矩控制的模糊参数PI自适应速度调节器的设计方法

Wi山a PID con—troller,it may lead to large overshoot even oscillation,then the steady state and dynamic state performance wil be Worse.

本文提出一种模糊PID控制器,它结合了PID控制和模糊控制的优点,具有较好的自适应和抗干扰能力。

The simulation results demonstrate that the controller is valid and effective for synchronous control of the pendulum angle and cart position based on adaptative neuro-fuzzy inference system. And the analogy controllers can be applied to many engineering fields.

仿真结果表明,ANFIS控制器对倒立摆系统的摆杆角度和小车位置的控制过程均具有良好的动态性能和稳态性能,说明了自适应神经模糊推理系统在倒立摆系统控制中的有效性。

A feedforward adaptive control system based on ARX model description has been developed and applied to the control of structural vibration excited by Pseudo-periodic signals.

发展一种基于ARX模型描述的实时自适应前馈控制系统,并将其应用到具有拟周期扰力的结构振动控制中。

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