A Systematic Method for Gain Selection of Robust PID Control for Nonlinear Plants of Second-Order Controller Canonical Form

被引:60
|
作者
Chang, Pyung Hun [1 ]
Jung, Je Hyung [2 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept Mech Engn, Taejon 305701, South Korea
[2] FATRONIK, Biorobot Dept, E-20009 San Sebastian, Spain
基金
新加坡国家研究基金会;
关键词
6-degrees-of-freedom (DOF) programmable universal machine for assembly (PUMA)-type robot manipulator; discrete proportional-integral-derivative (PID) controller; discrete time control system; nonlinear plants; robust PID gains selection; robust trajectory control; time delay control (TDC); sampled data system; TIME-DELAY CONTROL; TRACKING CONTROL; DESIGN;
D O I
10.1109/TCST.2008.2000989
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A systematic method to select gains of a discrete proportional-integral-derivative (PID) controller is presented. The PID controller with the gains obtained by the proposed method can robustly control nonlinear multiple-input-multiple-output (MIMO) plants in a second-order controller canonical form, such as robot dynamics. This method has been made possible by the finding that the discrete PID control is equivalent to the discrete form of time-delay control (TDC), a robust control method for nonlinear plants with uncertainty. By using this equivalence, relationships are obtained between PID gains and parameters of TDC, which enable a systematic method for the select PID gains. In addition, based on the systematic method, a simple and effective method is proposed to tune PID gains applicable to nonlinear plants with inaccurate models. This method incorporates a set of independent tuning parameters that is far less than those for conventional methods for PID gain selection. The usefulness of the proposed methods is verified through the ease and simplicity of determining PID gains for six degrees-of-freedom (DOF) programmable universal machine for assembly (PUMA)-type robot manipulator; the effectiveness of these PID gains is confirmed by the adequate and robust performance through experimentation on the robot.
引用
收藏
页码:473 / 483
页数:11
相关论文
共 50 条