A Heuristic Robust Design Optimization Approach for Batch Production Permanent Magnet Actuator Consider Various Uncertainties and Life-Cycle Quality Loss

作者：Jun Tan, Hao Chen, Xuerong Ye, Guofu Zhai, Jihong Yan · 发表于：IEEE Transactions on Energy Conversion · 年份：2023 · DOI：10.1109/tec.2023.3332915 · 被引用次数：7 · 研究领域：Manufacturing Process and Optimization、Advanced Multi-Objective Optimization Algorithms、Energy Efficiency and Management

The design optimization of a robust, low-cost, and high-quality permanent magnet actuator (PMA) that meets the requirements of industrial applications presents numerous challenges. In particular, uncertainties arising from fabrication, assembly, and degradation are omnipresent and can produce erratic or infeasible solutions, complicating the robust design optimization (RDO) for PMAs. State-of-art RDO approaches treat these uncertainties as fixed contribution margins while disregarding the changes in the contribution margin, manufacturing cost, and life-cycle quality loss resulting from variations in uncertainty range and time-variant degradation. To address these issues, we propose a heuristic RDO approach for the batch production of PMAs that considers the manufacturing cost, life-cycle quality loss, and adaptive iterative step size to address these issues. Firstly, a unified manufacturing cost model is innovated to assess the complex component morphologies. Subsequently, a life-cycle dynamic quality loss model considering the time-variant degradation is established by applying the modified quality loss function, which can effectively track the losses caused by fluctuations in life-cycle quality. Based on the manufacturing cost and life-cycle quality loss models, a heuristic RDO approach with an adaptive iterative step size model is proposed, which automatically assigns the maximum bound of uncertainties and reduces the quality variation without significantly increasing manu...