Straightness Errors Evaluation Based on A Hybrid Optimization Algorithm

摘要

In this paper, based on the analysis of existent evaluation methods for Straightness errors, a hybrid evaluation method is provided. The optimum model and the calculation process are introduced in detail. The hybrid global optimization algorithm based on chaos optimization and Powell search. By the use of the properties of ergodicity, stochastic property, and "regularity" of chaos, a chaos optimization algorithm (COA) is proposed. The efficiency of COA is much higher than some stochastic algorithms such as simulated anneal algorithm and genetic algorithm (GA) when COA is used to a kind of continuous problems. The chaos optimization algorithm can improve the efficiency of searching in the whole field by gradually shrinking the area of optimization variable. By integrating Powell search the precision of chaos optimization result is evidently improved. The Straightness errors is discussed as an example. Finally, a control experiment is carried out, and the simulation result shows that the hybrid evaluation method is feasible and satisfactory in the evaluation of Straightness errors.