15.07.2014 Views

DT Kalman filter - UBC Mechanical Engineering - University of ...

DT Kalman filter - UBC Mechanical Engineering - University of ...

DT Kalman filter - UBC Mechanical Engineering - University of ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Homework (Due Apr 8, 5pm)<br />

• (Last one!) 5-2: 5<br />

Consider the following<br />

continuous-time time system (oscillator):<br />

Design the <strong>Kalman</strong> <strong>filter</strong> for the discrete-time<br />

time<br />

system obtained by sampling the system above<br />

with sampling time 0.5:<br />

2008/09 MECH468/550P 29<br />

Homework (cont’d)<br />

• Assumptions<br />

• E{w}=<br />

}=E{v}=0,<br />

Rw=0.01,<br />

Rv=0.04<br />

• Initial value <strong>of</strong> error covariance matrix M=I2.<br />

• u[k] ] is a square-wave function defined in<br />

KFoscillator.m.<br />

• Task: Modify KFoscillator.m, , and design both<br />

time-varying and steady state <strong>Kalman</strong> <strong>filter</strong>s.<br />

(You do not have to follow the provided m-file.) m<br />

• Verify that your steady state <strong>Kalman</strong> <strong>filter</strong> gain<br />

matches with the time-varying gain after some time.<br />

• Compare the trajectories <strong>of</strong> the state estimates.<br />

2008/09 MECH468/550P 30<br />

8

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!