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Non-linear control is a sub-division of control engineering which deals with the control of non-linear systems. The behaviour of a non-linear system cannot be described as a linear function of the state of that system or the input variables to that system. For linear systems, there are many well-established control techniques, for example root-locus, Bode plot, Nyquist criterion, state-feedback, pole-placement etc.

Properties of non-linear systems


Some properties of non-linear systems are

  • They do not follow the principle of superposition (linearity and homogeneity)
  • They may have multiple isolated equilibrium points
  • They may exhibit properties such as limit-cycle, bifurcation, chaos
  • For a sinusoidal input, the output signal may contain many harmonics and sub-harmonics with various amplitudes and phase differences (a linear system's output will only contain the sinusoid at the input)

Analysis and control of non-linear systems


The Lur'e problem


An early non-linear control system analysis problem was formulated by A.I. Lur'e. Control systems described by the Lur'e problem have a forward path that is linear and time-invariant, and a feedback path that contains a memory-less, possibly time-varying, non-linearity.

The linear part can be characterized by four matrices (A,B,C,D), while the non-linear part is Φ(y) ∈ *, a

Absolute stability problem

Consider:
  1. (A,B) is controllable and (C,A) is observable
  2. two real numbers a, b with a

The problem is to derive conditions involving only the transfer matrix H(s) and {a,b} such that x=0 is a globally uniformly asymptotically stable equilibrium of the system. This is known as the Lur'e problem.

There are two main theorems concerning the problem:

  • The Circle criterion
  • The Popov criterion.

Popov criterion

The sub-class of Lur'e systems studied by Popov is described by:

\begin{matrix} \dot{x}&=&Ax+bu \\ \dot{\xi}&=&u \\ y&=&cx+d\xi \quad (1) \end{matrix}

\begin{matrix} u = -\phi (y) \quad (2) \end{matrix}

where x ∈ Rn, ξ,u,y are scalars and A,b,c,d have commensurate dimensions. The non-linear element Φ: R → R is a time-invariant nonlinearity belonging to open sector (0, ∞). This means that

Φ(0) = 0, y Φ(y) > 0, ∀ y ≠ 0;

The transfer function from u to y is given by

H(s) = \frac{d}{s} + c(sI-A)^{-1}b \quad \quad

Theorem: Consider the system (1)-(2) and suppose

  1. A is Hurwitz
  2. (A,b) is controllable
  3. (A,c) is observable
  4. d>0 and
  5. Φ ∈ (0,∞)

then the system is globally asymptotically stable if there exists a number r>0 such that
infω ∈ R Re* > 0 .

Things to be noted:

  • The Popov criterion is applicable only to autonomous systems
  • The system studied by Popov has a pole at the origin and there is no direct pass-through from input to output
  • Non-linearity Φ belongs to an open sector

References


  • A. I. Lur'e and V. N. Postnikov, "On the theory of stability of control systems," Applied mathematics and mechanics, 8(3), 1944, (in Russian).
  • M. Vidyasagar, Nonlinear Systems Analysis, second edition, Prentice Hall, Englewood Cliffs, New Jersey 07632.

See also


Non-linear systems | Control theory

Vikipedio:Projekto matematiko/Ne-lineara rego

 

This article is licensed under the GNU Free Documentation License. It uses material from the "Non-linear control".

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