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The Development of Neural Network Based System Identification ...

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4.3 SYSTEM IDENTIFICATION WITH NEURAL NETWORK 93<br />

Figure 4.8<br />

Offset distance <strong>of</strong> the IMU with respect to centre <strong>of</strong> gravity.<br />

<strong>of</strong> the IMU was placed not exactly at the centre <strong>of</strong> gravity (CG) <strong>of</strong> the vehicle, the<br />

accelerometer only senses the acceleration at the attachment point <strong>of</strong> the avionics<br />

housing. <strong>The</strong>refore, the linear accelerations and velocities have to be corrected for<br />

the <strong>of</strong>fset between the IMU position and the CG (Figure 4.8) before being used for<br />

system identification. Tischler and Remple [2006] derived the correction <strong>of</strong> acceleration<br />

measurement at the centre <strong>of</strong> gravity <strong>of</strong> the vehicle using kinematics <strong>of</strong> relative motion<br />

as follows:<br />

A xcg = A x − ˙qz a ṙy a − q (py a − qx a ) + r (rx a − pz a ) (4.13)<br />

A ycg = A y − ṗz a + ṙx a − p (py a − qx a ) + r (qz a − ry a ) (4.14)<br />

A zcg = A z − ṗy a + ˙qx a − p (rx a − pz a ) + q (qz a − ry a ) (4.15)<br />

When the location <strong>of</strong> the vehicle’s CG (x a , y a , z a ) was known, the acceleration<br />

measurement from the accelerometer was corrected for the effect <strong>of</strong> sensor <strong>of</strong>fset. A<br />

simple weight balancing test was carried out to determine the location <strong>of</strong> the CG which<br />

gave the measured <strong>of</strong>fset values as r = [x a y a z a ] T = [0.043 0 0.153] T m. As<br />

mentioned in Mettler [2003], the effect <strong>of</strong> acceleration biases due to sensor <strong>of</strong>fset will<br />

introduce a large bias reading in the y-body direction when a lateral cyclic sweep is<br />

applied.

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