A Novel Efficiency Optimization Method for Linear Oscillatory Machine Based on Variable Universe Fuzzy Search

To enhance the linear oscillatory machine system efficiency, it is essential to optimize the operating frequency. Traditional model-based method is constrained by the model accuracy, resulting in limited improvement of system efficiency. Although the traditional search-based method can significantly improve system efficiency, it suffers from an issue of tradeoff between stability and rapidity. In response to these drawbacks, this article first analyzes the qualitative relationship between operating frequency and system efficiency to elucidate the principle of efficiency optimization. Subsequently, a novel efficiency optimization method based on variable universe fuzzy search is proposed, which can achieve rapid and stable optimization of system efficiency by continuously adjusting the frequency search step. Finally, extensive experimental results verify the effectiveness and superiority of the proposed method.