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作 者:张云飞 齐蓉[1] ZHANG Yunfei;QI Rong(School of Automation,Northwestern Polytechnical University,Xi’an 710129,China;College of Electronic and Information Engineering,Hebei University,Baoding 071002,China)
机构地区:[1]西北工业大学自动化学院,陕西西安710129 [2]河北大学电子信息工程学院,河北保定071002
出 处:《电机与控制学报》2023年第7期155-162,共8页Electric Machines and Control
摘 要:为了降低永磁同步电机控制器的开关损耗,提出了一种基于模型预测的低开关损耗控制策略,并充分考虑了最大电压和电流限制。利用最优化方法,将带最大电流和电压限制的模型预测控制(MPC)问题转化为有不等约束的最优化问题,采用了常用的id=0控制策略。为了降低开关损耗,将逆变器的开关损耗函数引入最优化问题的目标函数,导致最优化问题变成不可解的双目标最优化问题。为此将原目标函数转化不等约束,从而使得双目标最优化问题转化为常规的单目标最优化问题,通过最小化目标函数计算最优的开关序列以降低开关损耗。基于模型预测的低开关损耗采用最速下降法在线优化拉格朗日系数,以提高控制的稳定性和可靠性。实验结果表明,基于模型预测的低开关损耗能够有效地降低开关损耗,并且具有较好的动态性能和较小的电流谐波。在提高永磁同步电机控制器效率和节能减排方面具有一定的优势。In order to reduce the switching loss of permanent magnet synchronous motor(PMSM)control-lers,a low switching loss drive based on model predictive control(LSL-MPC)was proposed,fully con-sidering maximum voltage and current limitations.The MPC issue with the maximum voltage-current limi-tation was transformed to optimization with multiple inequality constraints.Besides,the conventional zero d-axis current strategy was utilized in this algorithm.In order to reduce the switching loss,the switching loss function of the voltage source inverter was introduced in the cost function of the optimization.But the introduction of switching loss functions led to the optimization problem becoming an unsolvable two-objec-tive optimization problem.With the reasonable conversion,the two-goal optimization issue was trans-formed into a conventional optimization.The optimal switch sequence was calculated by minimizing the target function to reduce switching losses.The Lagrange multipliers in LSL-MPC can be online estimated.The experimental results indicate that the LSL-MPC could effectively reduce the switching loss with a low current ripple.Hence,the proposed LSL-MPC has certain advantages in improving the efficiency of the PMSM controller and energy-saving and emission reduction.
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