专业英语电气工程P2U6教学课件.ppt
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1、自动化专业英语教程,教学课件,July 28,2007,P2U6A Controllability,Observability,and Stability 第二部分第六单元课文A 可控性,可观性和稳定性,A 可控性,可观性和稳定性1.课文内容简介:主要介绍现代控制理论中可控性,可观性的概念、广义上连续系统稳定性的概念和定义、用李亚普诺夫第一方法和李亚普诺夫第二方法确定非线性自激系统的稳定性等内容。2.温习现代控制理论中可控性,可观性、李亚普诺夫第一、第二方法等内容。3.生词与短语,P2U6A Controllability,Observability,and Stability 第二部分第六单
2、元课文A 可控性,可观性和稳定性,state-controllable adj.状态可控(制)的observable adj.可观测的dual adj.双的,对偶的,孪生的fundamental n.基本原理multivariable adj.多变量的guarantee v.,n.保证,担保generalize v.一般化,普及trajectory n.轨迹Liapunov 李亚普诺夫vortices n.vortex 的复数,旋转体(面)converge v.集中,汇聚,收敛asymptotically stable 渐近稳定bound v.限制locally stable 局域稳定glob
3、ally stable 全局稳定,P2U6A Controllability,Observability,and Stability 第二部分第六单元课文A 可控性,可观性和稳定性,reveal v.显现,揭示comprise v.包含violently adv.激烈地straight-forward adj.直截了当的,简单的eigenvalue n.特征根autonomous adj.自治的,自激的decouple v.解耦,退耦portrait n.描述conjunction n.结合identify v.确认,识别,辨识Jacobian matrix 雅戈比矩阵positive def
4、inite 正定incidentally adv.偶然地,P2U6A Controllability,Observability,and Stability 第二部分第六单元课文A 可控性,可观性和稳定性,4.难句翻译1 Since complete state controllability does not necessarily mean complete control of the output,and vice versa,complete output controllability is separately defined in the same manner.因为状态完全能
5、控性不一定意味着输出的完全可控,而且反之亦然,所以输出完全能控性以类似的方式单独定义。2 Only local asymptotic stability with respect to the established equilibrium state can be guaranteed for linear analyses.只有相对于(系统)建立的平衡状态的局域渐近稳定才能保证线性分析(可以应用)。,Controllability and Observability,A plant(or system)is said to be completely state-controllable
6、if it is possible to find an unconstrained control vector u(t)that will transfer any initial state x(t0)to any other state x(t)in a finite time interval.Since complete state controllability does not necessarily mean complete control of the output,and vice versa,complete output controllability is sep
7、arately defined in the same manner.1 A plant is said to be completely observable if the state x(t)can be determined from a knowledge of the output c(t)over a finite time interval.,The dual concepts of controllability and observability are fundamental to the control of multivariable plants,particular
8、ly with regard to optimal control.Complete controllability ensures the existence of an unconstrained control vector and thus the existence of a possible controller.However,it does not tell how to design the controller,nor does it guarantee either a realistic control vector or a practical controller.
9、Complete observability ensures a knowledge of the state or internal behavior of the plant from a knowledge of the output.It does not,however,guarantee that the output variables are physically measurable.,The significance of these two concepts can be illustrated by consideration of a generalized nth-
10、order plant,which will have n state variables and thus n transient(dynamic)modes.The number of control variables will be designated by m,and the number of output variables by p.In a practical control system we expect m and p to be less than n and would like them both to be small in number.If the pla
11、nt is not completely controllable,there will be modes(state variables)that can not be controlled in any way by one or more of the control variables;these modes are decoupled from the control vector.If the plant is not completely observable,there will be modes whose behavior cannot be determined;thes
12、e modes are decoupled from the output vector.,A plant can be divided into four subsystems,as shown in Fig.2-6A-1.Since only the first subsystem A,which is both controllable and observable,has an input-output relationship,it is the only subsystem that can be represented by a transfer function or a tr
13、ansfer function matrix.Conversely,a transfer function or matrix representation of this plant reveals nothing about the dynamic behavior of subsystems B and D and provides no control over the behavior of subsystems C and D.For example,if the modes comprising subsystem B reacted violently to any of th
14、e control variables,the output variables would give no indication of such behavior.Undesirable transients in subsystem C would affect the output,but nothing could be done to modify them.This plant can be made completely controllable by appropriately adding control variables.The task of making the pl
15、ant completely observable,however,is more difficult and will not be discussed further.,Stability,Leaving the concepts of controllability and observability,we need to reexamine the concepts and definitions of stability with regard to continuous-variable systems in general.The stability of stationary
16、linear systems is relatively straight-forward in that it is a property of the system characteristics only,being independent of the initial state and of the magnitude and type of inputs.There is one finite equilibrium(singular)state,and we call the system stable if it returns to that state if disturb
17、ed.Stability is determined by the location of the eigenvalues(roots of the characteristic equation),and there are various techniques for locating the eigenvalues.,For nonstationary linear system and particularly for nonlinear system,stability is no longer dependent only upon the system properties bu
18、t is also dependent upon the initial state and the type and magnitude of any input.Furthermore,there may well be more than one equilibrium state.To discuss stability for these systems,additional definitions and criteria are necessary.We shall limit ourselves to autonomous systems since stability the
19、ory for arbitrary inputs is still undeveloped.,A system is said to be stable if trajectories leaving an initial state return to and remain within a specified region surrounding an equilibrium state.This general definition of stability is often referred to as stability in the sense of Liapunov and pe
20、rmits limit cycles and vortices.If the trajectories of a system that is stable in the sense of Liapunov eventually converge to the equilibrium state,the system is said to be asymptotically stable.If the system is stable only for initial states within a bounded region of state space,it is said to be
21、locally stable or stable in the small.If it is stable for all initial states within the entire state space,it is said to be globally stable or stable in the large.,We should like our control systems to have asymptotic stability,preferably global;if not global,then the region of asymptotic stability
22、should be large enough to include any anticipated disturbances.The stability of classical control theory is asymptotic.It may appear at first glance to be global,but in reality it is local since no system is truly linear.Only local asymptotic stability with respect to the established equilibrium sta
23、te can be guaranteed for linear analyses.,There are three basic methods for determining the stability of nonlinear autonomous systems.One method is to approximate the actual system by a second-order system,plot many trajectories in the phase plane,and examine the resulting phase portrait for regions
24、 of stability and instability.The describing function method can be used in conjunction with the phase plane to search for and identify limit cycles.Another method is known as the first,or indirect,method of Liapunov.It consists of linearizing the nonlinear vector equations about each equilibrium st
25、ate by means of the Jacobian matrix and then examining the corresponding eigenvalues for local stability only.The two methods just mentioned are sometimes lumped together as Liapunovs first method.,The third technique is the second,or direct,method of Liapunov,so called because it does not require s
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