一种基于虚拟参考反馈调整的无模型自适应控制

A Model Free Adaptive Control Based on VRFT

  • 摘要: 针对无模型自适应控制算法中对伪偏导数估计值信息利用率不高的问题,提出一种新的无模型自适应控制算法.运用虚拟参考反馈调整方法思想, 将紧格式线性化后的线性模型与基本无模型自适应控制器构成的闭环系统作为参考模型,再以参考模型的输出与系统期望输出的误差作为控制器的输入, 从而将伪偏导数过去时刻的估计值引入到新的控制律中,提高了伪偏导数估计值信息利用率.仿真结果表明改进的无模型自适应控制具有较好的控制性能.

     

    Abstract: A new model free adaptive control algorithm is proposed for the problem that the information of pseudo partial derivative of estimated value is not fully used. According to the idea of the virtual reference feedback tuning (VRFT), a closed-loop system is taken as reference model. The closed-loop system is composed of the linear model which is linearized in tight format and the basic model free adaptive control. Then the error caused by the output of the reference model and the system expected output is taken as the control input. As a result, the estimated value of pseudo partial derivative in the past time is introduced to the new control law. The information utilization rate of the estimated value of pseudo partial derivative is improved. The simulation result shows that the improved model free adaptive control has better control performance.

     

/

返回文章
返回