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Composite adaptive model predictive control for DC–DC boost converters

机译:DC-DC升压转换器的复合自适应模型预测控制

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摘要

A composite adaptive model predictive control (MPC) scheme is proposed to mitigate model mismatches due to parameter uncertainties and disturbances in controller designs for DC-DC boost converters. First, a model-based feedforward compensator based on a cascade proportional-integral (PI) MPC controller was developed as a current reference to improve the dynamic response performance. Then, an observer was employed to construct an accurate model and thereby avoid overcompensation and poor prediction due to model mismatch. Finally, a finite control set MPC was implemented to select a suitable switching state with which to realise output voltage regulation. Compared with a traditional PI MPC, the proposed controller has a rapid dynamic response, and compared with an unknown offset free MPC, the proposed controller is well suited to a simplified model. The proposed methods and benefits were validated by simulations in MATLAB/Simulink and by experiments on an NI Compact RIO rapid control prototype test bench.
机译:提出了一种复合自适应模型预测控制(MPC)方案,以减轻由于参数不确定性和DC-DC升压转换器的控制器设计中的干扰而引起的模型不匹配。首先,基于级联比例积分(PI)MPC控制器的基于模型的前馈补偿器被开发为当前参考,以改善动态响应性能。然后,使用观察者来构建准确的模型,从而避免由于模型不匹配而导致的过度补偿和较差的预测。最后,实施了一个有限控制集MPC,以选择合适的开关状态以实现输出电压调节。与传统的PI MPC相比,所提出的控制器具有快速的动态响应,并且与未知的无偏移MPC相比,所提出的控制器非常适合简化模型。通过MATLAB / Simulink中的仿真以及在NI Compact RIO快速控制原型测试台上进行的实验,验证了所提出的方法和优势。

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