双值预测函数控制

针对典型工业过程－－一阶加纯滞后对象跟踪设定曲线提出了双值预测函数控制。在给出控制算法的基础上,对系统稳定性和鲁棒性进行了分析,给出了增益失配的鲁棒性条件。     

化学反应器温度跟踪预测函数控制的研究及应用

对以预测函数控制算法为核心并结合PID控制的先进控制算法进行了研究,针对化学反应器的温度跟踪控制问题,给出了透明控制算法及预测函数控制器的具体形式,仿真结果表明,该算法具有较好的跟踪特性,抗干扰能力及鲁棒性,同时,该算法在SUPCON-JX300集散控制系统上实现,工业现场运行取得了很好的结果。     

多变量系统灰色预测函数控制方法研究

针对多变量时滞系统,提出一种以灰色模型为基础的多变量灰色预测函数控制策略,并给出多变量灰色预测函数控制算法.分析了灰色系统建模,灰色模型预测输出,和控制量计算方程的求解.仿真实验表明,该方法有较强的鲁棒性,快速性和强抗干扰能力强的特点.     

广义预测鲁棒自适应控制

本文指出自校正控制中广泛采用的CARMA模型会导致控制系统对确定性扰动和非平稳随机扰动缺乏鲁棒性;在CARMA模型中引入相应于上述扰动的不可控模态,给出了一种广义的CARMA模型;基于内模原理,提出一种新的广义预测鲁棒自适应控制器;并从理论上揭示其鲁棒性机理;给出了数字仿真。理论分析和数字仿真结果表明:这种广义预测自适应控制器对各类扰动和对象参数变化具有很强的鲁棒性。     

基于RBFN的伺服系统逆控制器设计及仿真研究

飞行仿真转台伺服系统中有一些诸如负载变化、机械摩擦等不确定和非线性因素，而神经网络逆控制对模型的不依赖性能较好的解决这些问题。该文给出了转台伺服系统速度跟踪的神经网络逆控制方案，它可以克服转台中负载变化及一些参数变化的影响，且能显著的提高动态精度。通过使用RBF神经网络实现了对象逆动态模型的在线辨识。并直接将该RBFN与PI环节构成一种神经网络逆控制制器，仿真结果表明这种方法具有较好的鲁棒性及较高的跟踪精度，有实际应用价值。     

SISO积分对象预测函数控制算法的鲁棒稳定性条件

基于积分对象脉冲响应设计预测函数控制器,引入一种新的误差反馈校正方法可有效消除系统稳态误差.通过多项式Jury主系数稳定性判定定理,定性给出SISO积分对象闭环预测函数控制算法鲁棒稳定的条件.所给控制算法鲁棒性强、在线计算量小.仿真实验说明了该方法的有效性和优点。     

基于SoRCA结构的WSN拓扑与路由优化

针对无线传感器网络SoRCA结构中存在的能耗高、负载不均衡和鲁棒性问题,提出了改进的SoRCA拓扑控制算法和路由算法。改进的拓扑控制算法根据SoRCA拓扑的结构化特点,计算出相邻传感器节点数据传输距离,然后依据传输距离调整传感器节点发射功率。改进的路由算法根据包中跳数的特征,给出数据传输时路由选择,并给出数据传输失败时新路由的选择。性能分析表明改进后的SoRCA结构较好地节省了节点的能量损耗,改善了WSN负载均衡性和鲁棒性,提高了WSN的生命周期。     

数据流在网络传输中的实时认证

提出了一个网络传输中数据流实时认证的改进方案，对于网络突发数据包丢失有较好的鲁棒性，并给出了实际测试结果。     

增广非最小状态空间法的稳定平台预测控制研究

针对传统的模型预测控制器鲁棒性较差及模糊PID控制系统比较复杂的问题,提出了利用增广非最小状态空间模型与模型预测控制相结合的稳定平台预测控制。建立了稳定平台广义被控对象的数学模型,以增广形式的非最小状态空间模型为基础,结合滚动时域控制原则和线性二次型最优控制,通过对稳定平台离散模型的非最小状态空间形式进行增广变换,给出了基于Laguerre函数的状态反馈增益矩阵算法,设计了增广非最小状态模型下的预测控制器,实现了对导向钻井稳定平台控制系统的仿真研究。仿真结果表明稳定平台预测控制系统可以很好地满足钻井工程对控制精度和动态特性的要求,而且对有时变性的盘阀摩擦干扰力矩及模型参数摄动具有较强的鲁棒性。     

发电机的非线性自适应逆推综合控制

发电机励磁和汽门系统是一个典型的多变量、非线性、强耦合、不确定复杂系统,其综合控制将会改善电力系统稳定性和动态品质,所以设计简单、有效的综合控制器既必要又困难.针对单机无穷大励磁与汽门系统,运用自适应逆推方法和系统的Lyapunov函数,获得了发电机的非线性综合控制器和参数替换律,文中给出了该控制器的具体设计步骤.由于在控制器设计中没有运用任何线性化方法,因而所得控制器充分利用了系统的非线性特性;同时考虑了发电机阻尼系数的不确定性,使得控制器对系统参数的变化具有很强的鲁棒性.数字仿真结果表明,所设计的控制器具有鲁棒性,并可有效地提高电力系统的稳定性.     

Stability robustness analysis of digital control systems in state-space models

The stability robustness of discrete linear time-invariant systems in state-space models is analysed. Based on a root-locus approach and from the stable-eigenvalue viewpoint, fundamental criteria for testing the stability robustness of autonomous systems are derived and applied to the robustness analysis of multivariable feedback systems. Both the norm bound and the element bounds for the allowed perturbations are obtained. A stability robustness index is denned which is useful both for the analysis and synthesis of control systems.     

软件健壮性的包裹测试

软件的健壮性正变得越来越重要,目前还缺乏准确的、可重复利用的方法来衡量系统的健壮性。健壮性基准程序就是为了解决这一问题而提出的,它由一系列健壮性测试案例组成。本文以Linux为例,简要介绍了当今操作系统健壮性基准程序测试的主要方法,对用于分析测试结果的维度模型进行了分析,提出了软件健壮性的包裹测试方法,并用实例说明了其有效性。     

Analysis the robustness of control systems based on disturbance observer

Disturbance observer (DOB) estimates the system disturbances by using the inverse of the nominal plant model and a low pass filter (LPF). Although the LPF provides the properness in the inner-loop, it is the main design constraint of the control systems based on DOB. The bandwidth of the LPF is designed as high as possible so that the DOB can estimate the disturbances in a wider frequency range. However, its bandwidth is limited by noise and robustness of the system. The robustness limitation is directly related with the robustness analysis methods, and they significantly affect the performance of the DOB based control systems. In this paper, three different robustness analysis methods are implemented into the DOB based control systems, and the relation between the robustness of the system and bandwidth of DOB is clearly explained. The conservatism, which is the main drawback of the conventional analysis methods, on the bandwidth of DOB is removed by proposing a new real parametric uncertainty based analysis method. The proposed methods are compared in detail, and simulation results are given to show the validation.     

Stability robustness analysis of discrete linear systems

The stability robustness of a discrete linear time-invariant system is analysed. Based on a discrete Lyapunov stability approach, fundamental criteria for testing the stability robustness of autonomous systems are derived and applied to the robustness analysis of multivariable feedback systems. The element bounds for the allowed perturbations are presented.     

健壮性分析在软件开发中的应用

以迷宫的创建作为软件开发对象,本文探索了ICONIX统一对象建模方法中的健壮性分析在软件开发中的应用,介绍了健壮性分析的概念,运用健壮性分析设计开发了迷宫创建软件,重点探讨了健壮性分析在分析模型与系统设计模型之间的关键链接作用.     

Robustness analysis of uncertain linear singular systems withoutput feedback control

The robustness analysis for a linear singular system with uncertain parameters and static output feedback control is considered. The problem is transformed into a robust nonsingularity problem. Based on the linear fractional transformation (LFT) approach, the robustness bounds to preserve regularity, impulse immunity, and stability are found in terms of the structured singular value μ with respect to parametric uncertainties. The LFT approach provides a unified framework for robustness analysis of both uncertain linear continuous/discrete-time singular systems     

加权多步预报控制——鲁棒性的频域分析

本文给出了加权多步预报控制（ＷＬＰＣ）^[1]算法的鲁棒性分析，其中包括WLPC算法允许的建模误差的界域和鲁棒性的频性分析结果。分析表明，只要适当选取权因子且配置好闭环极点，ＷＬＰＣ算法是一鲁棒性能良好的控制算法。     

核反应堆控制系统的鲁棒性分析

本文对核反应堆控制系统的鲁棒性进行了比较分析。通过分别用常规PID控制技术和先进控制技术实现对被控对象反应堆的控制,给出了改善反应堆控制系统鲁棒性的有效途径。     

Robust absolutely stable Lurie systems

This paper considers the robustness of Lurie systems with multiple non-linearities subject to modelling uncertainties and large parameter variations in the system dynamics. New robustness results on Lurie systems are presented which lead to a reduction of conservatism in robustness tests of absolute stability. It is shown that if the perturbations lie along given directions, it is possible to calculate a sector such that the perturbations belonging to the given direction do not disturb system stability. The proposed approaches for robustness analysis are based on the Popov frequency domain criterion as well as on the algebraic criterion for the absolute stability. The robustness results are illustrated by a second-order numerical example.     

Robustness analysis of a hybrid ground coupled heat pump system with model predictive control

MPC of thermal systems usually results in robust operation with respect to uncertainties thanks to some key characteristics of the controller. However, the true limit until which these systems will actually be robust is rarely known explicitly. In this study a Hybrid Ground Coupled Heat Pump (HyGCHP) system with MPC is investigated, for which state estimation and disturbance prediction are highly uncertain, moreover, the system performance is highly sensitive to errors at these points. It has become popular to design control systems which perform explicit computations to assure robustness (e.g. min–max Robust MPC) but this framework is computationally demanding, therefore, not widely applied. An alternative is to perform robustness analysis of an MPC controlled system which is though generally avoided due to complicated theoretical formulations, implicitness and conservativeness of the approach. To tackle these issues an existing framework for robustness analysis is extended and applied to the case of a HyGCHP system with MPC to analyze robustness with respect to state estimation uncertainty. This paper presents an approach to use the original formulation, suggested for regulation/stabilization in order to analyze robustness for the case of set point tracking. The results show that the maximum allowed state estimation uncertainty found by robustness analysis of the regulation problem is confirmed by the simulated HyGCHP system with MPC, which performs set point tracking. In conclusion, the method gives a reliable guarantee for the degree of state estimation uncertainty, up to which the HyGCHP system investigated remains robust. Future research can extend the robustness analysis method towards disturbance prediction uncertainty.