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Fuzzy model predictive control based on modified fuzzy relational model

机译:基于改进的模糊关系模型的模糊模型预测控制

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In this paper, a new approach to the fuzzy model predictive control (FMPC) is presented which is based on the modified fuzzy relational model (MFRM) introduced by Aghili and Menhaj. A comparison with PID and SMC control is provided to study the proficiency of the proposed FMPC. In this regard, DC-DC converter which has highly nonlinear characteristics is considered as the plant. First, the application of MFRM for the DC-DC converter modeling is demonstrated, and the model predictive control (MPC) is then developed for this system. The mentioned control strategies are implemented for regulating the step down DC-DC converter. Lastly, the robustness of the presented FMPC, in contrast to PID and SMC schemes is evaluated in different uncertainty conditions imposed on the output.
机译:本文提出了一种基于Aghili和Menhaj提出的改进的模糊关系模型(MFRM)的模糊模型预测控制(FMPC)的新方法。与PID和SMC控制进行比较,以研究所提出的FMPC的熟练程度。在这方面,具有高度非线性特性的DC-DC转换器被认为是设备。首先,演示了MFRM在DC-DC转换器建模中的应用,然后为该系统开发了模型预测控制(MPC)。所提到的控制策略用于调节降压DC-DC转换器。最后,与PID和SMC方案相比,所提出的FMPC的鲁棒性是在施加于输出的不同不确定性条件下进行评估的。

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