基于神经网络的时变大滞后系统的Smith预估控制

针对大滞后不确定系统提出了一种基于人工神经网络的改进型smith预估控制方案，设计了一个基于神经网络的补偿器来克服不确定的大延迟对控制性能的不利影响，解决了传统smith预估控制鲁棒性差及需要预先知道受控对象精确数学模型的问题。数字仿真结果表明，此方案可以在被控对象数学模型未知的情况下对时滞对象进行控制，特别是当时滞对象的特性发生变化时，具有较好的适应性，控制效果远远优于普通Smith预估控制。     

无自衡大时滞过程Smith预估鲁棒控制方法

以不确定的无自衡大时滞过程为研究对象，对常规Smith预估控制系统进行变形，由模型不确定性得到一个时滞相对小的广义被控对象，通过对该时滞相对小的广义被控对象设计控制器来实现对无自衡大时滞过程的鲁棒性控制。理论分析和仿真结果表明，这种新型控制方法不仅能消除大时滞带来的不良影响，且鲁棒性强，能够有效抑制干扰和模型不确定性。对无自衡大时滞过程的有效控制提供了新的思路。     

不确定时滞及非线性特性执行器系统的模糊Smith预估控制

针对一类带有不确定时滞特性执行器系统，采用Smith预估控制和模糊控制相结合的串级控制，使系统高性能运行。     

基于神经网络的时变大滞后系统的Smith预估控制

针对大滞后不确定系统提出了一种基于人工神经网络的改进型 smith 预估控制方案,设计了一个基于神经网络的补偿器来克服不确定的大延迟对控制性能的不利影响,解决了传统 Smith 预估控制鲁棒性差及需要预先知道受控对象精确数学模型的问题.数字仿真结果表明,此方案可以在被控对象数学模型未知的情况下对时滞对象进行控制,特别是当时滞对象的特性发生变化时,具有较好的适应性,控制效果远远优于普通 Smith 预估控制.     

时滞参数不确定的专家Smith预估控制

论述Ｓｍｉｔｈ预估器的结构、模型精确时的Ｓｍｉｔｈ预估控制，针对时滞参数不确定时Ｓｍｉｔｈ参估器稳定性能变差，从理想上分析其原因，并提出采用方法实时调节控制参数，改善Ｓｍｉｔｈ预估控制的性能，仿真结果说明了本文提出的控制策略的有效性。     

基于Smith预估器的单片机温控系统的实现

用1台单片机及相应的部件组成电阻炉炉温自动控制系统,采用Smith预估器克服系统较大的滞后性,给出了详细的系统结构图和程序流程图.     

不确定时滞过程Smith预估鲁棒H∞控制器的设计

以不确定大时滞过程的研究对象，对常规的Smith预估控制系统进行变形，然后用灵敏度最小原则设计H∞控制器，实现了对不确定大时滞过程的鲁棒性控制。理论分析和仿真结果表明，这种新型控制方法能消除大时滞带来的不良影响，且鲁棒性强，能够有效抑制干扰和模型不确定性，只有一个可调参数就能有效协调系统的鲁棒性能和标称性能。     

纸浆浓度的Smith预估器神经元自适应控制

针对纸浆浓度控制系统具有大纯滞后和模型不确定的特性,提出将神经元PID控制和Smith预估控制相结合的控制策略。该控制系统既具有Smith预估补偿控制的优点又有神经元自学习、自适应的能力。仿真实验结果表明该方法可以提高系统的控制品质,证实了这种方法的可行性。     

Design of decoupling Smith control for multivariable system with time delays

In order to solve the decoupling control problem of multivariable system with time delays, a new decoupling Smith control method for multivariable system with time delays was proposed. Firstly, the decoupler based on the adjoint matrix of the multivariable system model with time delays was introduced, and the decoupled models were reduced to first-order plus time delay models by analyzing the amplitude-frequency and phase-frequency characteristics. Secondly, according to the closed-loop characteristic equation of Smith predictor structure, proportion integration (PI) controllers were designed following the principle of pole assignment for Butterworth filter. Finally, using small-gain theorem and Nyquist stability criterion, sufficient and necessary conditions for robust stability were analyzed with multiplicative uncertainties, which could be encountered frequently in practice. The result shows that the method proposed has superiority for response speed and load disturbance rejection performance.     

Monitor automatic gauge control strategy with a Smith predictor for steel strip rolling

The simplified transfer function diagram block for a monitor automatic gauge control (Mon-AGC) system of strip steel rolling process was investigated. The new notion of strip sample length was given. In this way, the delay time varying with the roll-ing speed was evaded. After a Smith predictor was used to monitor the AGC system, the control laws were deduced for both propor-tional and integral regulators. The control strategies showed that by choosing the controller parameter P=∞ for both control algo-rith...     

史密斯法对数控钻铆机的仿真研究

大惯量物体,由于其惯性,加之传动链长,所需的扭矩大,引起的应变大,加上电气转换元件的滞后,故滞后效应明显．该文提出用史密斯控制算法将滞后进行补偿．计算机数字仿真结果说明,对大惯量有滞后的重型数控机床,应用该算法能得到较好的控制品质．     

纸浆浓度的Smith预估器神经元自适应控制

针对纸浆浓度控制系统具有大纯滞后和模型不确定的特性，提出将神经元PID控制和Smith预估控制相结合的控制策略。该控制系统既具有Smith预估补偿控制的优点又有神经元自学习、自适应的能力。仿真实验结果表明该方法可以提高系统的控制品质，证实了这种方法的可行性。     

一种基于干扰预测的Smith预估器

提出了一种基于干扰预测的Ｓｍｉｔｈ预估器的改进结构形式,该结构可提高用于纯迟延过程的Ｓｍｉｔｈ预估器的抗干扰能力。干扰预测采用直接预测的方法,比常将有色噪声中除白噪声以外的成分相应增补为系统向量的方法简单直观。定性分析了有限带宽型有色噪声带宽与预测长度,预测方法之间的关系。并给出了窄带宽功率谱随机信号的预测法及仿真结果。     

基于Smith预估器的单神经元PSD自适应主汽温控制

针对电厂中主汽温控制系统具有大滞后、非线性的特点,提出了一种新的基于 Smith 预估器的单神经元 PSD 自适应控制算法,即由 Smith 预估器和单神经元 PSD 自适应控制器组合的复合控制。并且利用Lyapunov 稳定性理论证明了单神经元自适应控制器的稳定性。实验结果表明,这种控制方式具有较好的自适应性和鲁棒性。     

A complex control system based on the fuzzy PID control and state predictor feedback control

A multi-mode adaptive controller was proposed. The controller features in the combination of Bang-bang and Fuzzy PID controls with state predictor. When large error exists, the controller operates in Bang-bang mode, otherwise it works as a fuzzy PID controller. For only few parameters to be adjusted, the real time controlled system achieveed good stability and fast response. Furthermore, the introduction of state observer was also discussed to extend the capability of the proposed controller to the plant with time-delay factors. The classical PID controller and the multi-mode controller were applied to the same second-order system successively. By comparison of the simulation results, the effectiveness of the controller were shown. At last, on electric-wire production line, this approach was practiced to control electric-wire diameter with an additive random disturbance signal. The test result further proved the effectiveness of the multi-mode controller.