Adaptive Parameter Estimate and Control Based on Prescribed Performance for the Turntable Servo Mechanism

被引：0

作者：

Wang S.-B. ^{[1
]}

Ren X.-M. ^{[1
]}

Li S.-Q. ^{[1
]}

Sun Z.-M. ^{[1
]}

机构：

[1] School of Automation, Beijing Institute of Technology, Beijing

来源：

Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2019年 / 39卷 / 02期

关键词：

Adaptive control; Parameter estimate; Prescribed performance function(PPF); Turntable servo mechanism;

D O I：

10.15918/j.tbit1001-0645.2019.02.014

中图分类号：

学科分类号：

摘要：

In this paper, a parameter estimate and adaptive control method was proposed based on prescribed performance function(PPF) for the turntable servo mechanisms with unknown parameters and nonlinearity friction dynamics. A continuous friction model was employed to capture the friction dynamics of the turntable servo mechanism, and high-order neural network(HONN) was adopted to approximate the nonlinearity friction dynamics. An auxiliary filter variable was designed to drive the information of the parameter estimation, which was used as a new leakage term of parameter update law to make the estimation values achieve to true values. To improve the transient behavior and steady-state performance of the turntable servo mechanism, the PPF was adopted to translate the error system of the original system into a new error system. Simulation results validate the effectiveness of the proposed control scheme. © 2019, Editorial Department of Transaction of Beijing Institute of Technology. All right reserved.

引用

页码：193 / 197

页数：4

共 14 条

[1]

Zheng Y., Ma D., Yao J., Et al., Disturbance estimation and compensation control for turntable servo system, Machine Tool & Hydraulics, 43, 7, pp. 43-45, (2015)

[2]

Li D., Ren X., Lu X., Combined compensation control for Wiener-Hammerstein systems with backlash nonlinearities, Control Theory & Applications, 33, 1, pp. 54-61, (2016)

[3]

Wang S., Ren X., Na J., Adaptive dynamic surface control based on fuzzy disturbance observer for drive system with elastic coupling, Journal of the Franklin Institute, 353, 8, pp. 1899-1919, (2016)

[4]

Wang S., Ren X., Na J., Et al., Extended-state-observer-based funnel control for nonlinear servomechanisms with prescribed tracking performance, IEEE Transactions on Automation Science & Engineering, 14, 1, pp. 98-108, (2017)

[5]

Wang S., Ren X., Na J., Et al., Robust tracking and vibration suppression for nonlinear two-inertia system via modified dynamic surface control with error constraint, Neurocomputing, 203, pp. 73-85, (2016)

[6]

Yu J., Shi P., Dong W., Et al., Neural network-based adaptive dynamic surface control for permanent magnet synchronous motors, IEEE Transactions on Neural Networks & Learning Systems, 26, 3, pp. 640-645, (2015)

[7]

Wang S., Ren X., Vibration suppression for two-inertia system based on backstepping and interval type-2 fuzzy neural networks, Transactions of Beijing Institute of Technology, 36, 6, pp. 611-615, (2016)

[8]

Dahl P.R., A solid friction model, Aerospace Corp El Segundo Ca, 12, 1, pp. 12-20, (1968)

[9]

De Wit C.C., Olsson H., Astrom K.J., Et al., A new model for control of systems with friction, IEEE Transactions on Automatic Control, 40, 3, pp. 419-425, (1995)

[10]

Yao B., Bu F., Reedy J., Et al., Adaptive robust motion control of single-rod hydraulic actuators: theory and experiments, IEEE/ASME Transactions on Mechatronics, 5, 1, pp. 79-91, (2002)

← 1 2 →