针对变压器恒温油浴装置,提出了一种改进的紧格式无模型自适应控制方法(Improved Compact Form Model-Free Adaptive Control,ICF-MFAC).ICF-MFAC方案基于伪偏导数的概念,利用Smith估计器和改进的跟踪微分器来预测时滞系统的输出微分并补偿系统,以确保对时滞系统的有效控制.该算法对油浸式变压器冷却系统等一类时滞系统具有更理想的输出响应,只使用被控对象的输入和输出数据便可以完成控制任务.分析了算法的收敛性和稳定性,并在MATLAB仿真平台上验证了算法的有效性.
Compact Form Model-free Adaptive Control of Oil Bath Temperature of Transformers
The paper proposes an improved compact form model-free adaptive control(ICF-MFAC)method for the con-stant-temperature oil-bath of transformers.The ICF-MFAC scheme is based on the concept of pseudo partial derivatives.It predicts the output differentiation of time-delay systems using a Smith estimator and an improved tracking differentia-tor,and then achieves compensation,thereby ensuring effective control of time-delay systems.This algorithm has a more ideal output response for time-delay systems such as oil-immersed transformer cooling systems,and can complete control tasks using only the input and output data of the controlled object.The paper analyzes the convergence and stability of the algorithm,and verifies its effectiveness via MATLAB simulation.
MFACoil-immersed transformertracking differentiatortime delay control
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