基于分支定界法筛选完整性的分散控制结构

针对分散控制系统的完整性问题,应用分支定界法对其进行判定并筛选合适的分散控制结构.定义了分散控制系统的子系统这一概念,提出检验分散控制系统完整性的一个判定引理和相邻两个分散控制系统之间的递推关系.基于分支定界法给出了相应的算法以处理输入输出配对问题,并给出具备完整性的分散控制结构.对随机系统的测试显示,所提出的算法能大幅度减小计算量,快速寻找满足完整性要求的分散控制结构.     

一种稳定的分散特征结构配置方法

针对大系统分散控制中的全局稳定性问题,将分散控制问题与优化问题相结合．提出了一种新的分散控制方法。该方法利用参数特征结构配置方法将分散控制转化为最优问题．通过求解最优问题得到子系统特征结构的参数,从而得到子系统的局域控制器。该控制器不但使子系统具有鲁棒性,而且保证了大系统的全局稳定性。由于分散控制还可以进行并行计算,因此可以提高计算速度。最后对空间站的数值进行了仿真,仿真结果表明,此算法是可行的。     

非线性复杂控制系统相似性结构研究的若干结果*

提出了非线性组合系统的相似性结构定义,讨论了这类具有相似结构的非线性组合系统的若干分散控制问题.利用系统的相似性结果,给出了相应控制器的设计方案.所得结果表明,复杂系统的相似性结构有助于简化系统的分析与设计.     

一类扩展结构大系统的分散有限时间鲁棒关联镇定

研究一类扩展结构大系统分散有限时间鲁棒关联镇定问题. 扩展结构大系统是在原结构系统上增加新子系统而构成的, 在原系统分散控制律确定不变的情况下, 设计新加入子系统的鲁棒分散控制律, 使扩展后的系统仍能保持有限时间关联稳定. 利用LMI 方法推导此类系统基于状态反馈和输出反馈的分散有限时间关联镇定的充分条件, 并给出扩展子系统的相应控制器的设计方法. 最后通过仿真实验表明了所提出方法的可行性和有效性.

     

过程控制结构的可行性分析

本文论述了工业过程调节控制结构的可行性问题,讨论的问题是,对于某一反馈信息结构,是否存在该结构下的某一分散控制器,以使闭环系统具有渐近稳定性、良好的伺服跟踪性能和鲁棒性,本文基于分散固定模的概念,获得了一般分散控制结构可行性判据。最后将该可行性判据成功地应用于某炼油厂催化裂化装置反应再生系统控制结构的选择及控制系统的设计,结果表明,该分散控制系统具有令人满意的动态性能和鲁棒性。     

参数不完全系统的最小信息镇定

本文在分散控制模型[2]的基础上,研究了最少信息的最经济控制问题,提出了最经济控制 器存在的条件与满足极点配置要求的最经济控制器的传递函数.     

关于动态大系统的分层分散控制

本文对大系统的动态控制提出一种新的分层分散控制方案,其设计要点是以分层方式综合运用各种分散控制和模型简化技术。算法可兼有时空分解和关连协调的能力,其特点是注重设计过程的系统化和实现时的简单性。文中分析和论证了分层分散控制算法有效性的条件。     

分散控制系统的结构性质研究

在结构系统的框架下讨论分散输入固定模和通道可控性等分散控制问题,定义了结构输 入固定模和结构通道可控等新概念,并用代数和图论两种方法对这些概念进行了刻划,所得 结果深化人们对分散控制系统内部结构的认识.     

一种基于对象的黑板问题求解模型

为了提高黑板结构的效率,使并发问题求解得以进行.对传统的黑板结构进行了改进,引入面向对象技术,把知识源表示成对象,使它不仅具有问题求解能力,还具有接收和发送消息的能力,变集中控制为分散控制.最后以此模型为基础,实现了一个断层识别专家系统.实验结果表明,这种面向对象的黑板结构的思想是可行的,有一定的实用价值.     

基于模糊PID算法的无线分布式温度控制系统

针对工业现场电阻炉温度控制对象分布式、多样性、复杂性和异构性的特点,提出并开发了一种基于模糊PID算法的无线分布式温度控制系统。运用自顶向下的设计方法,建立了分布式、多层次的无线网络拓扑结构,便于对系统中控制软件的规范设计与管理;将模糊PID控制算法与数字滤波算法相结合,实现了对分布式、多台、复杂电阻炉温度的集中管理与分散控制。该系统可靠性、控制精度及响应速度均可满足行业要求,有效地解决了有线分布式控制系统布线复杂、施工困难等问题,而且便于系统二次拓展。     

Adaptive control of rigid body satellite

The minimal controller synthesis （MCS） is an extension of the hyperstable model reference adaptive control algorithm. The aim of minimal controller synthesis is to achieve excellent closed-loop control despite the presence of plant parameter variations, external disturbances, dynamic coupling within the plant and plant nonlinearities. The minimal controller synthesis algorithm was successfully applied to the problem of decentralized adaptive schemes. The decentralized minimal controller synthesis adaptive control strategy for controlling the attitude of a rigid body satellite is adopted in this paper. A model reference adaptive control strategy which uses one single three-axis slew is proposed for the purpose of controlling the attitude of a rigid body satellite. The simulation results are excellent and show that the controlled system is robust against disturbances.     

An algorithm for simultaneous stabilization using decentralizedconstant gain output feedback

An algorithm which solves, numerically, the simultaneous stabilization problem using a constant gain decentralized control law is presented. The algorithm is determined from the necessary conditions for minimizing an optimal control problem. The optimal control problem consists of n plant models each with its own cost function. The costs are summed to create an average cost function and equality constraints are added to yield the decentralized control structure. The algorithm can start with any stabilizing full state feedback gain for each model and will converge to the optimal constant feedback gain for all models assuming a solution exists. Examples of the algorithm are given for Kharitonov synthesis and optimal gain scheduled control law synthesis using output feedback     

Overlapping control systems with optimal information exchange

This paper deals with the stabilizability of interconnected systems via linear time-invariant (LTI) decentralized controllers. Given a controllable and observable system with some distinct decentralized fixed modes (DFMs), it is desired to find a suitable control structure (in terms of information flow) for it. Since a decentralized controller consists of a number of non-interacting local controllers, the objective here is to establish certain interactions between the local controllers in order to eliminate the undesirable DFMs. This objective is achieved by translating the knowledge of the system into some bipartite graphs. Then, the notions of minimal sets and maximal subgraphs are introduced, which lead to a simple combinatorial algorithm for solving the underlying problem. The efficacy of the results obtained is demonstrated by an illustrative example.     

Reliable decentralized supervisory control of discrete eventsystems

We consider a discrete event system controlled by a decentralized supervisor consisting of n local supervisors, and formulate a new decentralized supervisory control problem, called a reliable decentralized supervisory control problem. A decentralized supervisor is said to be k-reliable (1相似文献   

A learning-based synthesis approach todecentralized supervisory control of discrete event systems with unknown plants

In this paper, we consider the problem of automatic synthesis of decentralized supervisor for uncertain discrete event systems. In particular, we study the case when the uncontrolled plant is unknown a priori. To deal with the unknown plants, we first characterize the conormality of prefix-closed regular languages and propose formulas for computing the supremal conormal sublanguages; then sufficient conditions for the existence of decentralized supervisors are given in terms of language controllability and conormality and a learning-based algorithm to synthesize the supervisor automatically is proposed. Moreover, the paper also studies the on-line decentralized supervisory control of concurrent discrete event systems that are composed of multiple interacting unknown modules. We use the concept of modular controllability to characterize the necessary and sufficient conditions for the existence of the local supervisors, which consist of a set of local supervisor modules, one for each plant module and which determines its control actions based on the locally observed behaviors, and an on-line learning-based local synthesis algorithm is also presented. The correctness and convergence of the proposed algorithms are proved, and their implementation are illustrated through examples.     

关于多通道系统的动太递阶镇定

研究镇定多通道系统的一种新策略--动态递阶控制.对线性时不变确定型通道强关 联系统,得到了在给定信息结构下采用动态递阶控制可任置极点(镇定)的一个充分必要条 件,解决了分散循环系统采用动态递阶控制时的最小信息结构问题,并讨论了动态协同控铋 器的最小阶数,最后给出了一个数值例子.     

多时标分散预测控制算法

针对一类各通道动态响应时间呈现较大差异的复杂大系统的控制问题, 提出了一种基于不同时标和分散通信模式下的预测控制算法. 该算法考虑了各个子系统的快慢特性和耦合关系, 采用纳什最优的思想, 并利用多时标信息预估方法实现整个系统的优化控制. 仿真实例验证了该算法的有效性.     

基于DCS的电力节能优化控制系统的设计与实现

为了解决电力系统的节能优化问题,本文在传统的PSO节能控制方法的基础上,提出了一种多重自适应的粒子群优化算法,应用分散控制系统设计与实现了一种新的电力节能优化控制系统。数值仿真的结果说明了使用所提出的粒子群算法的基于DCS的电力节能优化控制系统在电力调度最佳节点的搜索精确度要高于相同条件下的一般的电力控制系统。使用所提算法的电力节能优化控制系统,能有效地对电力能耗进行优化,且具有较高的实用性。