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自适应控制

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This application is first time internally that the adaptive prediction control algorithm is used in distributed control system.

该应用首次在国内的分散控制系统中实现了自适应预估控制算法。

Two models for the identification of Wiener-type nonlinear systems, which are the combination of Laguerre function model with static neural networks, are presented, and the identification algorithm are derived respectively.

提出了基于Laguerre函数模型与参数化模型构成的组合模型预测控制策略,解决了线性不稳定系统的基于Laguerre函数模型的自适应预测控制问题。

The mechanical oscillation of the fast steering mirror in adaptive optics system and its effect on control stability are discussed in this paper.

分析了自适应光学系统中高速倾斜反射镜的机械谐振现象及其对控制稳定性和控制带宽的影响。

In an induction motor maximum efficiency control system based on vector control, variation of mutual inductance resulted from the magnetizing flux adjustment is a problem to be solved. This paper proposed, based on model reference adaptive system, a novel method for on-line identification of the induction motor mutual inductance.

针对矢量控制下感应电机最大效率控制系统中由于调整磁链而引起的励磁互感变化问题,基于模型参考自适应(model reference adaptive system,MRAS)提出一种励磁互感在线辨识新方法。

According to actual characteristics of wood drying, this thesis proposes a new intelligent PID coefficient adjusting method based on existing neural network model. The method combines fuzzy control with PID control to construct a fuzzy adaptive PID controller, which realizes optimum control of system.

针对实际干燥过程的特性,本文在课题前面工作所做的神经网络模型的基础上提出一种智能的PID参数整定方法,即将模糊控制和PID控制结合起来,构建模糊自适应PID控制器。

In the system of high precision and low speed, Because of the existence of the nonlinear friction, the static and dynamic performance of the servo system is very bad, such as stick slip, hunting, large error and so on, Because the traditional control of PID is hard to solve the nonlinear problem of the servo system, so this paper begins to introduce a new control method which is named adaptive fuzzy PID, It utilizes the rule of the fuzzy control to adjust the parameter of proportion, integral and differential on line, So this control method has some intelligence to improve the static and dynamic performance of the servo system.

在高精度、超低速伺服系统中,由于非线性摩擦环节的存在,使系统的动态及静态性能受到很大程度的影响,主要表现为低速时出现爬行现象,稳态时有较大的静差或出现极限环振荡;由于传统的PID 控制很难解决伺服系统中的非线性问题,因而不能适用于高精度、超低速伺服系统;本文通过引入模糊自适应整定PID控制,利用模糊规则在线调整比例、积分、微分环节,使系统具有一定的智能,从而非常明显的改善伺服系统的静态及动态性能。

A filtered transformation and a stochastic control Lyapunov design method are applied to Marino-Tomei systems driven by Wiener noises of unknown covariance. A parameter adaptive law and a control law are obtained to ensure that the closed-up systems are noise-to-state stable and the tracking error can converge to a small residual set around the origin in the sense of mean quartic value in average.

通过滤波变换,采用随机控制Lyapunov设计方法,对于受方差未知的Wiener噪声干扰的Marino-Tomei非线性系统,给出了参数自适应律和控制律,使得闭环系统成为噪声--状态稳定的,并且跟踪误差的4次均方值在时间平均意义下收敛到一个足够小的区域内。

The relationship between residual servo variance and control bandwidth of an adaptive optics system is discussed.

分析自适应光学系统的控制残余方差与控制带宽的关系。

On the basis of the characteristics of sliding mode and the ability of selftaught of neuron, a control strategy of sliding mode variable structure control based on self-adaptive adjusting of neuron is put forward and is applied to positioning control of a hydraulic servo system.

基于滑模特点和神经元的学习特性,提出一种基于神经元自适应调节的滑模变结构控制策略,并把它应用于一液压非线性伺服系统的位置控制。

The results show that, as compared with the conventional PID controller, the proposed adaptive controller helps to implement the low-speed performance of the servomotor better.

结果表明,与传统的PID控制相比,基于LuGre模型的自适应摩擦力矩补偿控制能够更好地实现马达的低速性能。

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然而,要让一个真正的引用,你需要提供详细的个人和财务信息。