Proceedings of the 25th Chinese Control Conference 7–10 August, 2006, Harbin, Heilongjiang

Further Results On Global Controllability of Affine Nonlinear Systems* Yimin SUN1 , Lei GUO2 , Qiang LU1 , Shengwei MEI1 1. Department of Electrical Engineering, Tsinghua University, Beijing, 100084 2. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100080 E-mail: [email protected]

Abstract: Most of the existing results on controllability of nonlinear systems are concerned with local controllability. In this paper, we will present some further results on global controllability of two classes of affine nonlinear systems, by using the techniques developed recently in [1][2]. The first class is planar affine nonlinear systems with one singular point, the second class is high-dimensional affine nonlinear systems with special structure. Key Words: Nonlinear systems, global controllability, vector field.

1

INTRODUCTION

The controllability of nonlinear systems has been studied extensively over the past three decades, and considerable progress has been made in either analysis or synthesis by introducing some useful methods, including the well-known differential geometric method. However, most of the existing results in the literature on controllability of general nonlinear systems are concerned with local ones only, see, for example, [3]∼[6]. For the study of global controllability, although much effort has been made in the literature (see [7]∼ [13]), most of the related results are rather complicated and the complete characterization of global controllability is still lacking, due to the difficulty of this problem. Recently, a major advance has been made for the following planar affine nonlinear system, x˙ = f (x) + g(x)u,

(1)

by using a new method based on planar topology [1][2]. Earlier to [1][2], an important literature is the book [14], where under some hypotheses on f and/or g, some necessary and sufficient conditions on global controllability of planar affine nonlinear system were obtained. Unfortunately, the conditions on f and g used in [14] appear to be unnecessary and stringent since, for example, the main results in [14] (see, p. 44 and p. 109) cannot include the standard controllability criterion for even linear systems. The resent contribution [1] and [2] do not have these drawbacks, where the necessary and sufficient conditions on global controllability of the system (1) were obtained under some natural hypotheses on f and g. Moreover, the ideas *Please address all correspondence to Professor Lei GUO. This work was supported by the National Natural Science Foundation of China under Grant No. 50525721, 60221301 and 60334040.

in [1][2] provide a new approach to the study of more general planar systems and of some high dimensional systems. In this paper, we will investigate further the global controllability of affine nonlinear systems by using the methods in [1][2]. First, we will give a generalization of a result in [14], where the condition that the vector field g or −g is globally asymptotically stable seems to be unnecessary. Then, by two ways, we will generalize the main results in [1] to the high dimensional systems with special structure. One is the system with n − 1 inputs, the other is the singleinput system with triangular structure. Finally, we will give some physical examples in electric power systems to show the application of our theorems.

2

Main Results

First, we give the definition of global controllability of nonlinear systems. Consider the following affine nonlinear systems x˙ = F (x) + G(x)u, (2) where state vector x ∈ Rn , F (x) ∈ Rn×1 , G(x) ∈ Rn×m and F (x), G(x) are the C1 (Rn ) matrix functions, u ∈ Rm is the input vector. Definition 2.1 The control system (2) is said to be globally controllable, if for any two points x0 and x1 ∈ Rn , there exists a right continuous input vector function u(t) such that the trajectory of the system (2) under u(t) satisfies x(0) = x0 and x(T ) = x1 for some time T > 0. 2.1 Planar Affine Nonlinear with Singularity We consider the following planar affine nonlinear systems: x˙ 1 = f1 (x1 , x2 ) + g1 (x1 , x2 )u x˙ 2 = f2 (x1 , x2 ) + g2 (x1 , x2 )u,

(3)

where fi (x1 , x2 ), gi (x1 , x2 ), i = 1, 2 are smooth functions of the state x = (x1 , x2 )T in R2 , and u is the

control function taking values on R. We denote f (x) = T T (f1 (x), f2 (x)) , g(x) = (g1 (x), g2 (x)) and assume that g or −g is locally asymptotically stable at the origin and that g(0) = 0, g(x) 6= 0, ∀ x ∈ R2 \0. Without loss of generality, we suppose that g(x) is locally asymptotically stable (see [15]) and D is the domain of attraction of g(x). Definition 2.2 A control curve of the system (3) is defined as a solution (x1 (t), x2 (t)) of the following differential equation on the plane: x˙ 1 = g1 (x1 , x2 ) x˙ 2 = g2 (x1 , x2 ), where gi (x), i = 1, 2 are the same as those in (3). By Poincare-Bendixson Theorem and Jordan curve Theorem, every trajectory of the vector field g(x) tends to a singular point, or extends to infinite, or spirals around a limit cycle (see [16]). We are now in position to give the following definition. Definition 2.3 A solution trajectory of the vector field g(x) on the plane is called as a regular control curve of the system (3) if it is a nonzero closed curve or its two ends extend to infinite1 . Theorem 2.1 For the control systems (3), let f (0) 6= 0 and D is the domain of attraction of g(x). Then the system (3) is globally controllable, if and only if there are no points x+ , x− ∈ D\0 such that det[f (ϕ(x+ , t)), g(ϕ(x+ , t))] > 0

∀ t ∈ T+ ,

det[f (ϕ(x− , t)), g(ϕ(x− , t))] 6 0

∀ t ∈ T− ,

and the function g1 (x)f2 (x)−g2 (x)f1 (x) changes its sign over every regular control curve, where ϕ(x∗ , t) denotes the control curve passing through the point x∗ , and T∗ is the existence interval of the control curve ϕ(x∗ , t) and the star ∗ denotes either + or −. In particular, if the domain of attraction D is bounded, then the system (3) is globally controllable, if and only if the function g1 (x)f2 (x) − g2 (x)f1 (x) changes its sign over every regular control curve. Remark 2.1 Theorem 2.1 is a generalization of the Theorem 4.3 in [14], where the vector field g or −g is assumed to satisfy a stronger condition, i.e., the global asymptotical stability condition. Now, we consider a kind of the degenerate case of the control system (3), where the domain of attraction D of g(x) degenerates into a point 0. If we view the point 0 as a degenerate control curve of the systems (3), we have the following corollary. 1 The two ends of a curve Γ(t), t ∈ R extending to infinite means that: kΓ(t)k → +∞, when t → +∞ and −∞.

Corollary 2.1 Suppose f (0) 6= 0 and every control curve of the systems (3) is a closed curve. Then the control system (3) is globally controllable, if and only if the function g1 (x)f2 (x) − g2 (x)f1 (x) changes its sign over every nonzero control curve. For some systems, it is not difficult to verify if every control curve of the systems (3) is a closed curve. For example, if there is a Lyapunov function V (x), such that V (x) > 0 for any x ∈ R2 \ 0, V (0) = 0, V (x) → +∞ as kxk → ∂V ∂V g1 + ∂x g2 ≡ 0, then every +∞, and V (x) satisfies ∂x 1 2 trajectory of the vector field g(x) is a closed curve, namely every control curve of the systems (3) is a closed curve. 2.2 Some High Dimensional Systems First, we generalize the main theorem in [1] to n dimensional systems with n − 1 inputs. Here we should note that a similar but more general model had been ever studied in [13], however no necessary and sufficient condition is given there. Now, we consider the following system x˙ = f (x) +

n−1 X

bi ui ,

(4)

i=1

where f (x) ∈ C1 (Rn ), x ∈ Rn is the state vector, bi (i = 1, 2, . . . , n − 1) are constant vectors which are linearly independent, u = (u1 , u2 , . . . , un−1 )T is the control vector. Because bi (i = 1, 2, . . . , n − 1) are independent, there is a nonzero vector c such that hc, bi i = 0,

i = 1, 2, . . . , n − 1,

where h·, ·i denotes the inner product of two vectors. Now, we give the definition of control hyperplane as follows. Definition 2.4 The control hyperplane of the system (4) is a hyperplane which passes through any point x0 and takes the vector c as its normal vector, namely the hyperplane hx − x0 , ci = 0,

x ∈ Rn .

Theorem 2.2 The necessary and sufficient condition of global controllability of the system (4) is that the function det(f (x), b1 , b2 , . . . , bn−1 ) changes its sign over every control hyperplane. Now we give the generalization of main theorem in [1] to the systems with single input and triangular structure. Consider the following affine nonlinear control systems with triangular structure: x˙ 1 = f1 (x1 , x2 ) + g1 (x1 , x2 )x3 x˙ 2 = f2 (x1 , x2 ) + g2 (x1 , x2 )x3 x˙ 3 = f3 (x1 , x2 , x3 ) + g3 (x1 , x2 , x3 )x4 .. . x˙ n = fn (x1 , x2 , . . . , xn ) + gn (x1 , x2 , . . . , xn )u,

(5)

where fi , gi ∈ Cn−2 , i = 1, 2, . . . , n, namely they are the (n − 2) times smooth function, u is a right-continuous control function taking values on R. Let g(x1 , x2 ) = (g1 (x1 , x2 ), g2 (x1 , x2 ))T 6= 0 for any (x1 , x2 )T ∈ R2 and gi (x1 , x2 , . . . , xi ) 6= 0 for any (x1 , x2 , . . . , xi )T ∈ Ri , i = 3, . . . , n.

change its sign for any λ > 0, where every λ corresponds a control curve.

The key idea here is to take the advantage of the triangular structure and to apply the results on planar affine nonlinear systems to the following subsystem of (5)

∆ = cρ2 + 4(d − b)d(cλ)2 .

x˙ 1 = f1 (x1 , x2 ) + g1 (x1 , x2 )v x˙ 2 = f2 (x1 , x2 ) + g2 (x1 , x2 )v.

(6)

Then we have the following theorem. Theorem 2.3 The control system (5) is globally controllable if and only if its subsystem (6) is globally controllable, namely the function g1 (x1 , x2 )f2 (x1 , x2 ) − g2 (x1 , x2 )f1 (x1 , x2 ) changes its sign over every control curve of (6) in the plane (x1 , x2 ). Remark 2.2 The global controllability of the system (6) was established in [1]. Similarly, if the subsystem (6) of the system (5) satisfies the conditions of Corollary 2.1, then the Theorem 2.3 is also valid.

3

If d − b = 0, obviously, as long as λ is large enough, (9) will be negative for any s ∈ [−1, 1]. If d − b < 0, we have

Obviously, as long as λ is large enough, ∆ will be negative. Therefore (9) will be negative for any s ∈ [−1, 1]. √ If d−b > 0, the equation (d−b)cλs2 + cρs−cdλ = 0 has 2 a positive and a negative roots. √ √ Because (d − b)cλ(−1) + cρ(−1)−cdλ = −bcλ− cρ < 0, the negative root must be less than −1. Similarly, as long as λ is √ √ large enough, we have (d − b)cλ + cρ − cdλ = −bcλ + cρ < 0, therefore the positive root must be larger than 1. Hence, (9) will be negative for any s ∈ [−1, 1] as long as λ is large enough. In summary, the system (8) is not globally controllable. Finally, by Theorem 2.3 and Remark 2.2, the system (7) is not globally controllable. Example 3.2 A field-controlled DC motor with negligible shaft damping term −dx3 may be represented by a thirdorder model of the form

Some Examples

x˙ 1 = −ax1 + u

First, we will show the application of our theorems by the following three practical models of electrical power systems. Example 3.1 A field-controlled DC motor can be described by x˙ 1 = −ax1 + u x˙ 2 = −bx2 + ρ − cx1 x3

(7)

x˙ 3 = θx1 x2 − dx3 ,

where x1 , x2 , x3 and u represent the stator current, the rotor current, the angular velocity of the motor shaft and the stator voltage respectively, a, b, c, d, θ and ρ are positive constants (see [15] pp. 51-52). According to Theorem 2.3 and Remark 2.2, we need only to investigate the global controllability of the following system: x˙ 2 = −bx2 + ρ − cx3 v x˙ 3 = −dx3 + θx2 v.

(8)

It is easy to know that the system (8) satisfies the condition of Corollary 2.1 and the trajectoT ries√ of the √ vector √ field√ (−cx3 , θx2 ) are ellipses (λ c cos( cθt), λ θ sin( cθt)), t ∈ R, for any λ > 0. By Corollary 2.1, the control system (8) is globally controllable if and only if the following function √ (d − b)cλs2 + cρs − cdλ, s ∈ [−1, 1] (9)

x˙ 2 = −bx2 + ρ − cx1 x3 x˙ 3 = θx1 x2 ,

(10)

where a, b, c, θ and ρ are positive constants (see [15] p. 530). Similar to the above example, the control system (10) is globally controllable if and only if the following function √ √ −bcλs2 + cρs = s(−bcλs + cρ), s ∈ [−1, 1] (11) change its sign for any λ > 0, where every λ corresponds a control curve. It is easy to know that (11) change its sign for any λ > 0. Hence, the control system (10) is globally controllable. Example 3.3 Consider the following model of a permanent magnet synchronous motor: did = −Rs id + np ωLq iq + ud dt diq Lq = −Rs iq − np ωLd id − np ωΦ + uq dt dω 3 J = np [(Ld − Lq )id iq + Φiq ] − τL , dt 2

Ld

(12)

where id and iq are d − q axis currents, ω is the motor speed, ud and uq are d − q axis voltages, Ld , Lq and J are nonzero constants, Rs , np , Φ and τL are constants, id , iq and ω are state variables (see [17]).

The control hyperplane of the system (12) is ω = c, and it is easy to know that the function 3 2 np [(Ld

− Lq )id iq + Φiq ] − τL J changes its sign over every control hyperplane if and only if np [(Ld −Lq )2 +Φ2 ] 6= 0. Hence, by Theorem 2.2 we know that the necessary and sufficient condition for the global controllability of the system (12) is np [(Ld − Lq )2 + Φ2 ] 6= 0. det(f (x), b1 , b2 ) =

4

Concluding Remarks

In this paper, by using the method in [1] and [2], we presented a necessary and sufficient condition for global controllability of planar affine nonlinear systems with a singular point and of some high dimensional systems with special structure. These conditions are imposed on the system nonlinear structure only. In addition, we also give some examples to show the application of these conditions in some physical systems. For future investigation, it is desirable to extend the main results of this paper to more general high dimensional nonlinear control systems.

REFERENCES [1] Y. M. Sun, L. Guo, ”On Global Controllability of Planar Affine Nonlinear Systems,” Proceedings of the 24th Chinese Control Conference, South China University of Technology Press, 2005, pp. 1765-1769. [2] Y. M. Sun, L. Guo, ”On Globally Asymptotic Controllability of Planar Affine Nonlinear Systems,” Science in China (F series), Vol. 48, No. 6, 2005, pp. 703-712. [3] A. Isidori, Nonlinear Control Systems, third ed. London : Springer-Verlag, 1995. [4] H. J. Sussmann, V. Jurdjevic, ”Controllability of Nonlinear Systems,” J. Diff. Eqns., Vol. 12, No. 1, 1972, pp. 95-116.

[5] R. Hermann, A. J. Krener, ”Nonlinear Controllability and Observability,” IEEE Trans. Automat. Contr., Vol. 22, 1977, pp. 728-740. [6] H. J. Sussmann, ”A Sufficient Condition for Local Controllability,” SIAM J. Cotrol Optim, Vol. 16, No. 5, 1978, pp. 790-802. [7] C. Lobry, ”Contrˆolabilit´e des syst`emes non lin´earies,” SIAM Journal on Control, Vol. 8, 1970, pp. 573-605. [8] R. W. Brockett, ”System Theory on Group Manifolds and Coset Spaces,” SIAM Journal on Control, Vol. 10, 1972, pp. 265-284. [9] L. R. Hunt, ”Global Controllability of Nonlinear Systems in Two Dimensions,” Math. Systems Theory, Vol. 13, 1980, pp. 361-376. [10] P. E. Caines, E. S. Lemch, ”On The Global Controllability of Nonlinear Systems: Fountains, Recurrence, and Applications to Hamiltonian Systems,” SIAM J. Cotrol Optim, Vol. 41, No. 5, 2003, pp. 1532-1553. [11] C. Y. Kaya, J. L. Noakes, ”Closed Trajectories and Global Controllability in the Plane,” IMA Journal of Mathematical Control & Information, Vol. 14, 1997, pp. 353-369. [12] D. Aeyels, ”Local and Global Controllability for Nonlinear Systems,” Systems & Control Letters, Vol. 5, 1984, pp. 19-26. [13] L. R. Hunt, ”n-Dimensional Controllability with (n − 1) Controls,” IEEE Trans. Automat. Contr., Vol. 27, No. 1, 1982, pp. 113-117. [14] S. Nikitin, Global controllability and stabilization of nonlinear systems, Singapore : World Scientific Publishing Co. Pte. Ltd, 1994. [15] H. K. Khalil, Nonlinear Systems, 2nd ed. Upper Saddle River, NJ : Prentice-Hall, 1996. [16] Y. M. Sun, L. Guo, Q. Lu, S. W. Mei, ”On Global Controllability of Planar Affine Nonlinear Systems with a Singularity,” To appear, 2006. [17] Y. Guo, Z. Xi, D. Cheng, ”Speed Rugulation of Permanent Magnet synchrorous Motor via Feedback Dissipative Hamiltonian Realization,” To appear, 2006.

Further Results On Global Controllability of Affine ...

Aug 10, 2006 - The first class is planar affine nonlinear systems with one singular point, the second class is high-dimensional affine nonlinear systems with ...

71KB Sizes 1 Downloads 217 Views

Recommend Documents

On Global Controllability of Affine Nonlinear Systems with ... - CiteSeerX
We may call the function g1(x)f2(x) − g2(x)f1(x) as the criterion function for global ..... Here, we make a curve γ2 connecting (n − 1)-time smoothly γ1 and the ..... Control Conference, South China University of Technology Press, 2005, pp.

On Global Controllability of Affine Nonlinear Systems with ... - CiteSeerX
We may call the function g1(x)f2(x) − g2(x)f1(x) as the criterion function for global controllability of the system (2.2) ..... one side of the straight-line which passes through the point x0 with direction g(x0. ); ..... bridge: MIT Press, 1973. 1

On Global Controllability of Planar Affine Nonlinear ...
Sep 24, 2008 - Qiang LUa a. State Key Laboratory of Power System, Department of Electrical Engineering,. Tsinghua University, Beijing, China b. School of Mathematics and Computational Science, Sun Yat-sen University,. Guangzhou, China. Abstract. This

FURTHER RESULTS ON THE H-TEST OF DURBIN ...
to give a new light on the distribution of the Durbin-Watson statistic under the null hypothesis as .... distributed ran- dom variables with zero mean and variance σ2 > 0. ..... in the multivariate framework to the content of Remark 3.2. Our goal is

Further Results on the Existence of Nash Equilibria ... - Semantic Scholar
University of Chicago. May 2009 ... *Financial support from the National Science Foundation (SES#9905599, SES#0214421) is gratefully ac# knowledged.

Further results on linear nonquadratic optimal control ...
C.-H. Hsu is with the Department of Industrial Engineering and Management, ..... chine less the cumulative demand, i.e., total inventory or backlog.

Further Results on Sensor Network Localization ... - Semantic Scholar
In the general model of sensor networks, there are usually some nodes named beacons, whose position in- formation is known. Those beacons have either GPS ...

further results on the limiting distribution of gmm sample ...
data. The mean return vector is chosen such that the asset pricing model holds ... We also analyze the statistical properties of the rank and sequential tests when ...

Listing of further issues of OnMobile Global Limited and ... - NSE
Jan 12, 2018 - In pursuance of Regulation 3.1.1 of the National Stock Exchange (Capital Market) Trading. Regulations Part A, it is hereby notified that the list of securities further admitted to dealings on the National Stock Exchange (Capital Market

Controllability of complex networks.pdf
Page 1 of 7. ARTICLE. doi:10.1038/nature10011. Controllability of complex networks. Yang-Yu Liu1,2, Jean-Jacques Slotine3,4 & Albert-La ́szlo ́ Baraba ́si1,2,5. The ultimate proof of our understanding of natural or technological systems is reflect

Further Evidence on the Usefulness of Real-Time ...
is quite surprising as one might expect the cumulative effect that the combination of inefficiency, .... Needless to say, the findings of this illustration suggest that there is much to be learned via analysis ... Monetary Economics 50, 525—546.

Listing of further issues
Nov 13, 2017 - C/1, G-Block, Bandra-Kurla Complex, Bandra (E), Mumbai 400 051, India. CIN: U67120MH1992PLC069769 Tel: +91 22 26598235/36 ...

012 Further Evidence On External Auditors' Reliance On Internal ...
Retrying... Whoops! There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item. 012 Further Evidence On External Auditors' Reliance On Internal Auditors.pdf. 012 Furthe

A CONCISE PARAMETRISATION OF AFFINE TRANSFORMATION ...
For example, when we consider rigid transformations inside affine transformations, we can assure that an interpolation of rigid transformations is always rigid. The condition (VI) is mandatory, for example, for efficient creation of deformation anima

A CONCISE PARAMETRISATION OF AFFINE ...
Key words and phrases. matrix exponential and logarithm, parametrisation of affine transformations, rigid transformation, shape blending, shape interpolation, ...

Exact boundary controllability of two Euler-Bernoulli ...
Dec 20, 2002 - For the system (1.3), when γ > 0, it turns that the space of controllable initial data can not be found among the family of energy spaces but it is ...

BADLY APPROXIMABLE SYSTEMS OF AFFINE ...
RYAN BRODERICK, LIOR FISHMAN, AND DAVID SIMMONS. J. Number Theory 133 (2013), no. 7, 2186–2205 http://arxiv.org/abs/1208.2091. Abstract. We explore and refine techniques for estimating the Hausdorff dimension of Diophantine ex- ceptional sets and t

Boundary controllability of the one-dimensional wave ...
of the solutions is of the order of the size of the microstructure. More precisely, as it was proved in 2], there exist stationary solutions which concentrate most of its ...

Controllability and resource-rational planning
critical feature of real-world decision making: in addition to choosing amongst actions in ... c for computations and the cumulative reward of the best action expected. 1 ... Technical Report UCB/EECS-2011-119, EECS Department, University of ...

New Results on Decentralized Diagnosis of ... - Semantic Scholar
site; i.e., the decisions of the respective diagnosers will not require to be merged other than ..... It can be shown that it suffices to build diagnosers at each site.

New Results on Decentralized Diagnosis of Discrete ...
Idaho Falls, ID 83403-2528 [email protected]. Stéphane Lafortune. Dept. of EECS. The University of Michigan. 1301 Beal Ave, Ann Arbor. MI 48109-2122 [email protected]. Abstract. The past decade has witnessed the development of a body of theory

New Results on Decentralized Diagnosis of Discrete Event Systems
nostic protocols become necessary to deal with fault diagnosis in distributed systems where the information is decentralized [1,8]. In decentralized architectures ...

Re-ranking Search Results based on Perturbation of ...
Apr 29, 2006 - search results. ▫. Perturb the graph and see if the resulting graph is still relevant to the query. ▫. Re-rank the search results based on the amount of perturbation .... Microsoft monopoly. Globalization and Democracy. Recent Eart