列车牵引变流器高压直流母线电压存在电压波动，对牵引系统输出电能质量存在较大影响，因此需提高中间级DC／DC变换器的响应速度以减小高低压侧功率耦合。以列车牵引变流器中间级DC/DC变换器为研究对象，针对模型预测控制存在的对电路参数高敏感性和易受噪声干扰的固有问题，提出了一种无偏模型预测控制及采样噪声抑制策略。首先对双有源桥串联谐振变换器的工作原理及稳态误差产生原因进行分析，设计了基于递归最小二乘算法的控制目标反馈校正方法以消除其稳态误差。其次，引入噪声抑制系数，通过简单有效的方法降低了控制量对控制目标的敏感度。进而，采用虚拟电流代替实际电流采样值，进一步降低系统成本。最后搭建实验平台，验证了所提控制策略在稳态和动态性能上的提升。

The voltage fluctuations in the high-voltage DC bus of the train traction converter have a significant impact on the output power quality of the traction system. Therefore, it is necessary to improve the response speed of the intermediate stage isolated DC/DC converter to reduce the power coupling between the high-voltage stage and the low-voltage stage. Taking the isolated DC/DC converter as the research object, an unbiased model predictive control and sampling noise suppression strategy was proposed to address its inherent problems of high sensitivity to circuit parameters and susceptibility to sampling noise. Firstly, the operation principle of the dual-bridge series resonant converter and the causes of the steady-state errors were analyzed, and a feedback correction method based on recursive least square algorithm was designed to eliminate the steady-state error. Then, the introduction of noise suppression coefficient reduces the sensitivity of the control variable to the control target through a simple and effective method. Furthermore, the virtual current was utilized in predictive model instead of the actual current sampling value, and it further reduces the system costs. Finally, an experimental platform was built to verify the improvement of the proposed strategy in both steady-state and dynamic performance.