Predictive speed control (PSC) is a promising control strategy for high dynamic performance electrical drives. However, its implementation faces two challenges: the selection of weighting factors and the elimination of steady-state errors (SSEs). The weighting factors are commonly selected through trial-and-error, which is time consuming. Additionally, SSEs are frequently observed due to model uncertainties and parameter mismatches. Focusing on the aforementioned issues, this article proposes a PSC strategy for surface-mounted permanent-magnet synchronous motor drives, where the weighting factors are designed algebraically and SSEs are eliminated. The weighting factor design process is illustrated through rearranging the equivalent speed tracking error. The SSEs are eliminated by incorporating integral terms into the cost function. The performance of the proposed strategy is validated through comparative experiments with field-oriented control and adaptive integral sliding-mode predictive control. The results demonstrate the effectiveness of the designed weighting factors and the robustness of the system.

中文翻译：

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使用代数设计的加权因子对 SPMSM 驱动器进行稳健的预测速度控制

预测速度控制 (PSC) 是一种用于高动态性能电气驱动的有前途的控制策略。然而，其实施面临两个挑战：加权因子的选择和稳态误差（SSE）的消除。通常通过反复试验来选择加权因子，这很耗时。此外，由于模型不确定性和参数不匹配，经常观察到 SSE。针对上述问题，本文提出了一种用于表面贴装永磁同步电机驱动器的 PSC 策略，其中权重因子采用代数设计，并消除了 SSE。通过重新排列等效速度跟踪误差来说明加权因子的设计过程。通过将积分项合并到成本函数中来消除 SSE。通过与磁场定向控制和自适应积分滑模预测控制的比较实验验证了所提出策略的性能。结果证明了设计的加权因子的有效性和系统的鲁棒性。