Application Issues of Virtual Reference Feedback Tuning and Non-iterative Correlation-based Tuning
Virtual reference feedback tuning method and Non-iterative correlation-based tuning method both belong to the data-driven methods and aim to get the controller parameters from input and output data. This paper proposed to raise some practical issues we meet when using these methods. If the input signal includes noise and an ideal second order transfer function is used as a reference model, we should carefully choose the input signal, the reference model and the discrete method for this reference model. In addition, we proposed to apply the least square method with constrains to the virtual reference feedback tuning method to avoid getting parameters which are without practical meaning or out of range. Finally, we will simulate the results in Matlab and apply them to a motion control system driven by a linear motor.
virtual reference feedback tuning non-iterative correlation-based tuning data-driven method least square method with constrain motion control linear motor
Hairong Jiang Lin Cong
Department of AutomationUniversity of Harbin Institute of TechnologyShenzhen,Guangdong Province,Chin Department of Intelligent Robotics University of Electronic Science and Technology Chengdu,Sichuan P
国际会议
2010 IEEE信息与自动化国际会议(ICIA 2010)
哈尔滨
英文
1-6
2010-06-20（万方平台首次上网日期，不代表论文的发表时间）