slide1 n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Homework 9 PowerPoint Presentation
Download Presentation
Homework 9

Loading in 2 Seconds...

play fullscreen
1 / 18

Homework 9 - PowerPoint PPT Presentation


  • 140 Views
  • Uploaded on

Chapter 10. Optimal Control. Homework 9. Consider again the control system as given before, described by. Assuming the linear control law. Determine the constants k 1 and k 2 so that the following performance index is minimized.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Homework 9' - trisha


Download Now An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide2

Chapter 10

Optimal Control

Homework 9

Consider again the control system as given before, described by

Assuming the linear control law

Determine the constants k1 and k2 so that the following performance index is minimized

Consider only the case where the initial condition is x(0)=[c 0]T and the undamped natural frequency (ωn) is chosen to be 2 rad/s.

  • Recall again the standard form of a second order transfer function (FCS)
  • Calculate the transfer function of the system if compensated with k
  • Determine the value of corresponding k (k1 or k2?) to obtain ωn as requested
slide3

Chapter 10

Optimal Control

Solution of Homework 9

Substituting the state feedback and finding the transfer function,

slide4

Chapter 10

Optimal Control

Solution of Homework 9

slide5

Chapter 10

Optimal Control

Algebraic Riccati Equation

  • Consider again the n-dimensional state space equations:

with the following performance index to be minimized:

: symmetric, positive semidefinite

  • The control objective is to construct a stabilizing linear state feedback controller of the form u(t) = –Kx(t) that at the same time minimizes the performance index J.

The state feedback equation u(t) = –Kx(t) is also called the “control law.”

slide6

Chapter 10

Optimal Control

Algebraic Riccati Equation

  • First, assume that there exists a linear state feedback optimal controller, such that the optimal closed-loop system:

is asymptotically stable.

  • Then, there exists a Lyapunov Function V = xT(t)Px(t) with a positive definite matrix P, so that dV/dt evaluated on the trajectories of the closed-loop system is negative definite.
  • The synthesis of optimal control law involves the finding of an appropriate Lyapunov Function, or equivalently, the matrix P.
slide7

Chapter 10

Optimal Control

Algebraic Riccati Equation

  • The appropriate matrix P is found by minimizing:
  • For unconstrained minimization,

Optimal Solution

If u(t) = –Kx(t) is so chosen that

min{f(u(t)) = dV/dt + xT(t)Qx(t) + uT(t)Ru(t)} = 0

for some V = xT(t)Px(t),

Then the controller using u(t) as control law is an optimal controller.

slide8

Chapter 10

Optimal Control

Algebraic Riccati Equation

  • The differentiation yields:

if P symmetric

slide9

Chapter 10

Optimal Control

Algebraic Riccati Equation

  • Hence, incorporating the fact that P and R are symmetric, the optimal control law can be written as:

or

slide10

Chapter 10

Optimal Control

Algebraic Riccati Equation

  • We now need to perform the “Second Derivative Test” to find out whether u*(t) is a solution that minimizes f(u(t)).

Second Derivative Test

  • If f’(x) = 0 and f”(x) > 0 then f has a local minimum at x
  • If f’(x) = 0 and f”(x) < 0 then f has a local maximum at x
  • If f’(x) = 0 and f”(x) = 0 then no conclusion can be drawn
  • Performing the “Second Derivative Test”,
  • If the weight matrix R is chosen to be a positive definite matrix, then the optimal solution u*(t) is indeed a solution that minimizes f(u(t)).
slide11

Chapter 10

Optimal Control

Algebraic Riccati Equation

  • Now, the appropriate matrix P must be found, in order to obtain the optimal closed-loop system in the form of:
  • The optimal controller with matrix P minimizes the cost function f(u(t)), and will yield:

  • After some substitutions of x(t) and later u*(t),
slide12

Chapter 10

Optimal Control

Algebraic Riccati Equation

  • After regrouping, we will obtain:
  • The equation above should hold for any x(t), which implies that:

Algebraic Riccati Equation (ARE)

  • After solving the ARE for P, the optimal control law given by:

can be applied to the linear system of

slide13

Chapter 10

Optimal Control

Example 1: Algebraic Riccati Equation

Consider the following model:

along with the performance index:

Find the optimal control law for the system.

The matrices are:

The ARE is solved as:

slide14

Chapter 10

Optimal Control

Example 1: Algebraic Riccati Equation

The control law is:

The optimal closed-loop system is described by:

slide15

Chapter 10

Optimal Control

Example 2: Algebraic Riccati Equation

Consider the following continuous-time system:

Design an optimal controller that minimizes

with

give weight to x1(t), no restriction for x2(t)

slide16

Chapter 10

Optimal Control

Example 2: Algebraic Riccati Equation

Pis found by solving the ARE:

slide17

Chapter 10

Optimal Control

Example 2: Algebraic Riccati Equation

Three equations can be obtained:

Thus, the optimal gain is given by:

The requested control law is:

slide18

Chapter 10

Optimal Control

Homework 10

The regulator shown in the figure below contains a plant that is described by

and has a performance index

Determine

The Riccati matrix P

The state feedback matrix k

The closed-loop eigenvalues