# velocity error

Also found in: Acronyms.

## velocity error

[və′läs·əd·ē ‚er·ər]
(control systems)
The difference between the rate of change of the actual position of a control system component and the rate of change of the desired position.
References in periodicals archive ?
For position estimation, Figure 9 and Table 1 show that the estimation accuracy on the latitude and longitude of UPS is better than that of URTSS, and the estimation accuracy on the height of UPS is lower than that of URTSS, which corresponds to the up velocity error result.
In accelerated motion ([f.sub.x] [not equal to] 0, [f.sub.y] [not equal to] 0), according to the accelerometer error parameters and (12), we can conclude that when [absolute value of [f.sub.y]] > 1.67g and [absolute value of [f.sub.z]] > 1.67g, the influence of the accelerometer scale factor errors aS[F.sub.y] and aS[F.sub.z] on the north velocity error and upward velocity error is greater than that of accelerometer bias [aB.sub.y] and [aB.sub.z].
The IMM-MF average velocity error is around 33.51 m/s, while the IMM, IMMH, and DIMM average velocity errors are around 96.01 m/s, 36.25 m/s, and 59.85 m/s, respectively.
From Figures 8(a) and 8(b) it can be seen that, throughout the journey, velocity errors in east and north are around 0 km/h.
Figure 7 shows the results of the system of (32) applying the SDRE control signal U with their results for the states (x1 and x2) and the velocity error (ex) obtained for the case with velocity constant of 8.415 rad/s (10 km/h).
So the initial relative position error and velocity error between the leader-satellite and the following-satellite are
To solve this problem, we extend the previous controller by using the angular position error and angular velocity error for the controller.
Here, it is divided by reference velocity to be dimensionless so that they might be plotted and also velocity error is reduced as follows:
Computation of the relative velocity error on the basis of the results obtained in points 7 and 8.
Table 2 shows the comparison of five estimation strategies in terms of velocity error. It can be seen that the EKF, IEKF, and the proposed method are able to reduce the velocity error compared with the IN S and the WSN, respectively.
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