Inertia and Friction Estimation of a Velocity-Controlled Servo Using Position Measurements

被引:51
作者
Garrido, Ruben [1 ]
Concha, Antonio [1 ]
机构
[1] CINVESTAV IPN, Inst Politecn Nacl, Ctr Invest & Estudios Avanzados, Dept Control Automat, Mexico City 07360, DF, Mexico
关键词
Friction; least-squares methods; moment of inertia; parameter estimation; proportional-integral (PI) controller; servosystems; velocity control; SLIDING-MODE-OBSERVER; IDENTIFICATION ALGORITHM; PARAMETER-IDENTIFICATION; SPEED CONTROL; COMPENSATION; SYSTEM; ROBUST; MACHINES; TRACKING;
D O I
10.1109/TIE.2013.2293692
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a method that estimates the parameters of a velocity-controlled servo. A proportional-integral controller, which uses only position measurements, closes the loop. The proposed approach uses the steady-state response produced by steps and sine-wave signals; they do not produce high levels of vibration on the servo compared with random signals commonly used with the least squares algorithm; moreover, it relies on simple numerical calculations. The method, which is called in the sequel as the steady-state response method (SSRM), consists of two steps. The first step uses three constant reference inputs in order to identify a constant disturbance and the viscous and Coulomb friction coefficients of the servo. In the second step, the SSRM estimates the servo inertia using a sine wave plus a constant signal as a velocity reference input and employs the estimate of the viscous friction coefficient obtained in the first step. Experiments on a testbed employing a brushless servomotor allow comparing the results obtained using the SSRM and those produced by a standard recursive least squares method (RLSM).
引用
收藏
页码:4759 / 4770
页数:12
相关论文
共 44 条
[41]   Sliding-mode-observer-based adaptive control for servo actuator with friction [J].
Xie, Wen-Fang .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (03) :1517-1527
[42]   High-Accuracy Tracking Control of Hydraulic Rotary Actuators With Modeling Uncertainties [J].
Yao, Jianyong ;
Jiao, Zongxia ;
Ma, Dawei ;
Yan, Liang .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2014, 19 (02) :633-641
[43]   Adaptive Robust Control of DC Motors With Extended State Observer [J].
Yao, Jianyong ;
Jiao, Zongxia ;
Ma, Dawei .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 61 (07) :3630-3637
[44]   Nonlinear Adaptive Robust Force Control of Hydraulic Load Simulator [J].
Yao Jianyong ;
Jiao Zongxia ;
Yao Bin ;
Shang Yaoxing ;
Dong Wenbin .
CHINESE JOURNAL OF AERONAUTICS, 2012, 25 (05) :766-775