A Discrete-time Sliding Mode Estimator with Adaptive Sliding Surface

Feedback signals of mechatronic control systems are usually uncertain and noisy because of the measurement errors and environmental disturbances. Toward this problem, this paper presents a new discrete-time sliding mode estimator that employs an adaptive sliding surface by balancing the tradeoff between the smoothness of estimating and the suppression of phase lag. The advantage of the new estimator is validated through a numerical example.

[1]  Malek Ghanes,et al.  Sensorless second order sliding mode observer for induction motor , 2010, 2010 IEEE International Conference on Control Applications.

[2]  Motoji Yamamoto,et al.  Parameter selection guidelines for a parabolic sliding mode filter based on frequency and time domain characteristics , 2012 .

[3]  Motoji Yamamoto,et al.  Improved velocity feedback for position control by using a quadratic sliding mode filter , 2011, 2011 11th International Conference on Control, Automation and Systems.

[4]  Arie Levant,et al.  Higher-order sliding modes, differentiation and output-feedback control , 2003 .

[5]  Xiaogang Xiong,et al.  Frequency Domain Analysis for An Adaptive Windowing Parabolic Sliding Mode Filter , 2017 .

[6]  Xiaogang Xiong,et al.  Enhanced Discrete-Time Sliding Mode Filter for Removing Noise , 2017 .

[7]  A. Levant Robust exact differentiation via sliding mode technique , 1998 .

[8]  Xiaogang Xiong,et al.  Tuning Guidelines for an Adaptive-Gain Parabolic Sliding Mode Filter , 2017 .

[9]  Vincent Hayward,et al.  Discrete-time adaptive windowing for velocity estimation , 2000, IEEE Trans. Control. Syst. Technol..

[10]  L. Fridman,et al.  Second order sliding mode observer for estimation of velocities, wheel sleep, radius and stiffness , 2006, 2006 American Control Conference.

[11]  Motoji Yamamoto,et al.  Real-Time Quadratic Sliding Mode Filter for Removing Noise , 2012, Adv. Robotics.

[12]  Jaime A. Moreno,et al.  A Lyapunov approach to second-order sliding mode controllers and observers , 2008, 2008 47th IEEE Conference on Decision and Control.

[13]  Myo Thant Sin Aung,et al.  A new noise-reduction filter with sliding mode and low-pass filtering , 2014, 2014 IEEE Conference on Control Applications (CCA).

[14]  Abdelhamid Rabhi,et al.  Second Order Sliding-Mode Observer for Estimation of Vehicle Dynamic Parameters , 2008 .