Adaptive Sliding Mode Backstepping Control System

Author(s):  
Danni Wang ◽  
Tao Chao ◽  
Songyan Wang ◽  
Ming Yang
2013 ◽  
Vol 816-817 ◽  
pp. 363-366
Author(s):  
Yu Feng Li ◽  
Kui Wu Li ◽  
Yu Tian Pan ◽  
Bao Quan Guo

A new fuzzy adaptive sliding mode controller based on fuzzy compensation for robot is proposed. The control architecture employs fuzzy systems to compensate adaptively for plant uncertainties to distinguish different disturbance compensation terms and approximate each of them respectively. By analyzing and comparing the simulation results, it is obviously shown that the control system can lighten the effect on the control system caused by different disturbance factors and eliminate the system chattering than that of traditional SMC.


2011 ◽  
Vol 21 (3) ◽  
pp. 331-344 ◽  
Author(s):  
Ibtissem Bakhti ◽  
Souad Chaouch ◽  
Abdesselam Maakouf

High performance backstepping control of induction motor with adaptive sliding mode observerIt is well known that modern control of induction motor relies on a good dynamic model of the motor. Extensive research and activity have been devoted to the problem of induction motor control over the last decade. In this paper we introduce backstepping control with amelioration of performance to guarantee stability of the system. Accurate knowledge of the rotor speed and flux position is the key factor in obtaining a high-performance and high-efficiency induction-motor drive. Thus a sliding mode observer design is presented. Simulation results are included to illustrate good performance of backstepping control of sensorless induction motors with flux observer.


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