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For the average error, both methods give similar results at first, until a point when the Delaunay method error stays smaller compared to the Structured error.
Based on the characteristic, adaptive and structured error correction models of nonlinear autoregressive with exogenous inputs network are established to acquire deterministic optimized outcomes.
In this article, the authors have demonstrated that imbalance of the spindle is a major cause of form error which eventually leads to a structured error called "spindle star" that appears as straight concentric spokes radiating out from the center of the part.
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Structure error analysis was also studied.
Bounds on the model structure error are assumed unknown, or known but conservative.
These errors may come from model errors (i.e., model structure error, model parameter error), forcing data errors, and in situ soil moisture measurement errors.
Bounded values on the model parameters and structure error can then be computed jointly by tightening the feasible set using observations under deliberately designed input excitations.
We first build a generic kinematic model for robot structure error analysis using a Denavit–Hartenberg transformation matrix, differential changes for this transformation matrix and link parameters.
To reduce this conservatism, a point-parametric model concept is proposed, where there exist a set of model parameters and structure error corresponding to each input.
Influence factors taking into account here are the detection noise, optical property error, phantom structure error and those mixed.
The numerical result indicates that the optical property error influences the reconstructed results most, the phantom structure error less, and the detection noise the least.
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