多变量极点配置自适应动态解耦控制器

本文提出了一种以多变量极点配置为基础的自适应解耦控制器,该控制器不仅可以任意配置闭环系统的极点位置而且可以直接对闭环系统实现动静态解耦控制,仿真实验结果表明该控制器比一般的极点配置控制器具有更好的控制性能。     

一种多变量隐式极点配置自校正控制器及其应用A

本文提出了一种极点配置自校正控制器.该控制器不仅能控制开环不稳定或非最小相位 系统,而且能控制具有任意、未知或变化传输延时结构的多变量系统.该控制器采用隐式方式 来实现即利用输入输出数据直接辨识控制器的参数.这样不仅避免在线解矩阵方程,而且增 加算法的鲁棒性.仿真和实时控制多变量电加热系统的结果表明该控制器具有好的控制性能.     

解谐最小方差自校正前馈控制器及其应用

本文提出了一种解谐最小方差自校正前馈控制器。该控制器将自校正控制的最优策略与经典的极点配置策略结合起来,因而具有两者的优点。该控制器不仅可以完全消除可测干扰的影响,而且可以应用于多变量系统实现自适应解耦控制。文中讨论了该控制器在多变量电加热炉中的工程应用。实时控制结果表明,自校正前馈控制器不仅能适应电网电压波动等因素引起的模型参数的改变,控温效果优于常规PID调节器,而且可使被控变量之间的耦合作用大大减小。     

在线调节加权因子的多变量极点配置自校正控制*

基于最优和极点配置方法,本文对多变量随机系统提出一种在线调节加权因子的极点配置自校正控制器。它具有良好的算法结构,克服了现有方案存在的缺点。     

一种简单的多变量自校正控制器及其在电加热炉上的应用

本文提出一种新的多变量自校正控制器,该控制器将最小方差策略和极点配置策略结合起来,从而具有两者的优点;该控制器可以控制具有不同传输延时的系统;算法简单。本文讨论了该自校正控制器在双输入双输出电加热炉上的工程应用。实时控制结果表明,该控制器不仅能适应电网电压波动等因素引起的模型参数的改变,控温效果优于常规PID调节器,而且使被控变量之间的耦合作用大大减小。     

一种热连轧活套多变量控制方法及仿真分析

针对双输入双输出耦合活套控制系统,提出了一种新的多变量控制方法。该方法将活套控制问题视为双输入双输出随动系统渐近跟踪问题,通过建立活套控制系统状态空间模型,采用多变量极点配置方法配置活套控制系统的期望闭环极点,以实现期望性能指标。该方法计算简单,物理概念清晰,克服了常规解耦控制器设计复杂,计算繁琐的弱点。仿真结果表明,系统不仅具有较好的动态性能和稳态性能,而且有很强的鲁棒稳定性。     

基于多模型切换的多变量直接自适应极点配置控制器

提出一种基于多模型切换的多变量直接自适应控制器,控制器参数模型集可由系统参数模型集直接得到,不但仍为一紧集并且被其模型子集完全覆盖.该多模型控制器不仅改善了控制系统的暂态响应,而且可以实现极点配置,最后给出了全局收敛性分析.     

多变量极点配置自校正控制器

本文讨论了一种新的具有指定极点的多变量自校正控制器的设计方法。它改进了文献所提出的算法。该算法能够控制非最小相位系统,开环不稳定系统和B_0阵为奇异的不同时延系统,即可在线配置闭环极点又可离线配置闭环极点。同时,本文还表明文献给出的算法可以认为是本文结果的特例。最后给出计算机仿真结果,说明这种控制器的实用性和有效性。     

自校正控制非最小相位的电加热系统

本文提出了一种简单的多变量极点配置自校正解耦控制器。该控制器不仅避免了在线求解矩阵方程和矩阵求逆运算而且实现了自适应解耦控制。该自适应控制器已被成功地应用来控制双输入双输出非最小相位的电加热炉。     

基于极点配置滑模方法的无人机编队控制仿真

滑模变结构控制方法是无人机控制中广泛采用的重要方法,滑模面的设计尤为困难.提出了利用Ackermann公式和非奇异线性变换矩阵,对原系统进行极点配置,通过任意配置极点,设计多输入多输出系统的滑模面,已达到促使原系统在滑模变结构控制量作用下渐近稳定的效果.为了精确控制无人机自主编队中的姿态,分别针对无人机纵向和横侧向设计相应的变结构控制器.仿真结果表明,控制器能在较短的时间内使系统跟踪误差渐近趋近于零,从而验证了控制器的有效性.     

具有减少辨识参数的随机多变量极点配置自适应控制器

本文提出了一种新的限制输出个数减少随机多变量自适应控制中辨识参数的方法，并给出了减少辨识参数的极点配置自适应算法。虽然采用ｎ个输入１个输出的减少辨识参数的模型来设计控制器，但所提出的控制器能够保证被控系统的几个输出跟踪参考输入信号，仿真结果表明，所提出的方法是成功的。     

Decoupling and arbitrary pole placement in linear systems using output feedback

Linear multivariable systems are considered which can be decoupled by state-variable feedback, but arbitrary pole placement and decoupling cannot be achieved simultaneously. These systems cannot be decoupled using output feedback. A compensator is presented which allows decoupling and arbitrary pole placement in the augmented system using output feedback.     

关于状态反馈预测控制系统的极点配置

讨论按极点配置方法的设计问题,给出极点可任意配置的充分必要条件。基于状态空间模型,给出按极点配置方法设计时选取预测时域的方法。通过引入控制作用衰减系数及状态反馈加权系数,状态反馈预测控制系统的极点可任意配置。设计参数实时在线调整方便,增强了预测模型的适应范围,使预测控制系统具有较好的的控制性能和鲁棒性。     

Guaranteed dominant pole placement with PID controllers

Pole placement is a well-established design method for linear control systems. Note however that with an output feedback controller of low-order such as the PID controller one cannot achieve arbitrary pole placement for a high-order or delay system, and then partially or hopefully, dominant pole placement becomes the only choice. To the best of the authors’ knowledge, no method is available in the literature to guarantee dominance of the assigned poles in the above case. This paper proposes two simple and easy methods which can guarantee the dominance of the two assigned poles for PID control systems. They are based on root locus and Nyquist plot respectively. If a solution exists, the parametrization of all the solutions is explicitly given. Examples are provided for illustration.     

Elegant anti-disturbance control for discrete-time stochastic systems with nonlinearity and multiple disturbances

An elegant anti-disturbance control (EADC) strategy for a class of discrete-time stochastic systems with both nonlinearity and multiple disturbances, which include the disturbance with partially known information and a sequence of random vectors, is proposed in this paper. A stochastic disturbance observer is constructed to estimate the disturbance with partially known information, based on which, an EADC scheme is proposed by combining pole placement and linear matrix inequality methods. It is proved that the two different disturbances can be rejected and attenuated, and the corresponding desired performances can be guaranteed for discrete-time stochastic systems with known and unknown nonlinear dynamics, respectively. Simulation examples are given to demonstrate the effectiveness of the proposed schemes compared with some existing results.     

基于δ算子离散化模型的连续时间系统满意控制

通过δ算子离散化模型,研究了连续时间线性定常随机系统的具有极点配置和稳态方差指标的满意控制问题.利用线性矩阵不等式理论,给出设计满意控制器及优化采样周期的方法.数值算例验证了所提出方法的有效性.     

Adaptive control of nonminimum phase systems subject to unknownbounded disturbances

This paper presents a robust adaptive pole placement control scheme for continuous-time systems with bounded disturbances. The system may possibly be nonminimum phase and unstable. It is shown that for arbitrary bounded disturbances, a global asymptotical bounded-input/bounded-output (BIBO) stability is established through pole placement techniques without either introducing persistent excitation probing signals into the system or assuming any a priori knowledge on the plant parameters. Moreover, the disturbance upper bound is not assumed to be known. The system order is the only a priori knowledge required on the plant. The adaptive control law is free from singularities in the sense that the estimated plant model is always controllable     

Parameter insensitive pole assignment for scalar input systems

Under the assumption that the parameters affect the systems "linearly," arbitrary partial insensitive pole placement problem for scalar input systems have been solved. A new definition for partial pole placement, which takes into account the effect of the unknown varying parameters in the system, has been used. The result is first given for a system with one parameter, and then, it is extended to systems with more than one parameter. The dual of the same result is also given. The paper also emphasizes the structural properties of systems with varying parameters.     

Direct adaptive pole placement with application to nonminimum phase systems

This note presents the first direct adaptive control structure for nonminimum phase systems where controller parameter identification can be posed as a standard linear parameter estimation problem. In particular, a linear equation error model is formulated for estimating both the controller parameters and some additional auxiliary parameters. The key idea involves insertion of the Bezout polynomial identity into the polynomial design equation which arises in arbitrary pole placement.     

多输入多输出线性控制系统的简单极点配置算法

本文给出了对多输入多输出系统进行极点配置的算法。按照本文的结论，任何多输入多输出线性控制系统都可以象单输入单输出线性系统那样进行闭环系统及状态观测器的极点配置。