Space mechanism error parameter of tire shredder

For the motion error of the waste tire shredder mechanism, Yuxi has done a lot of research and made some progress. In terms of error analysis, an analytical method such as the input-output displacement relationship differential method; vector closed-form method; constrained equation group differential method "and micro-displacement synthesis method" is proposed.

The problem of output error caused by the error of the movement secondary clearance and structural parameters is solved. In addition, for the randomness of the motion sub-question and structural parameter tolerances, the probabilistic analysis of the mechanism error is made, and the Monte Carlo simulation method of error analysis is proposed.

These error analyses are based on known raw errors to determine the output error of the mechanism. In the error synthesis usually according to the given permissible precision, the tolerance and clearance M"um of the mechanism are assigned with very good technology.

But in general, the current institutional error is still limited to theoretical research.

In the operation of the tire recycling machine, it is important to diagnose the error, that is, for the mechanism in use or in operation, how to diagnose the cause of the disturbance error based on the output response of the machine (measurement data), and determine the original error. In order to improve the movement of the waste tire recycling machine, the necessary measures are provided.

In the research of error identification or diagnosis, the paper proposes an index function suitable for error analysis with very good technology. However, due to the lack of error model, this index function can only identify the gap and value of the mechanism. The size of each original error cannot be clearly diagnosed.

Therefore, this paper has carried on some research on the identification of motion error of space mechanism. On the basis of probability bridge of motion error, two kinds of index functions (mean value) suitable for error identification using very small square identification technique are proposed. The index function and the variance index function) are further used to identify the structural parameter error and the gap value of the motion pair, respectively.