Flux observers design for induction motor using linear parameter varying observer and sliding mode observer

2016 ◽  
Author(s):  
I. Benlaloui ◽  
D. Khamari ◽  
S. Drid ◽  
L. Chrifi-Alaoui ◽  
M. Hamzaoui
Keyword(s):  
Induction Motor ◽  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Parameter Varying

scholarly journals Sliding Mode Observers Based-Simultaneous Actuator and Sensor Faults Estimation for Linear Parameter Varying Systems

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Ali Ben Brahim ◽  
Slim Dhahri ◽  
Fayçal Ben Hmida ◽  
Anis Sallami
Keyword(s):  
Sliding Mode ◽  
Estimation Error ◽  
Sufficient Conditions ◽  
Linear Matrix ◽  
Sensor Faults ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Parameter Varying ◽  
System States ◽  
Sliding Mode Observers

This paper proposes a scheme to estimate actuator and sensor faults simultaneously for a class of linear parameter varying system expressed in polytopic structure where its parameters evolve in the hypercube domain. Transformed coordinate system design is adopted to decouple faults in actuators and sensors during the course of the system’s operation coincidentally, and then two polytopic subsystems are constructed. The first subsystem includes the effect of actuator faults but is free from sensor faults and the second one is affected only by sensor faults. The main contribution is to conceive two polytopic sliding mode observers in order to estimate the system states and actuator and sensor faults at the same time. Meanwhile, in linear matrix inequality optimization formalism, sufficient conditions are derived withH∞performances to guarantee the stability of estimation error and to minimize the effect of disturbances. Therefore, all parameters of observers can be designed by solving these conditions. Finally, simulation results are given to illustrate the effectiveness of the proposed simultaneous actuator and sensor faults estimation.

Distributed sliding mode leader-following consensus controller for uncertain time-delay linear parameter-varying multiagent systems

2020 ◽  
pp. 107754632095652
Author(s):  
Mohammad Amin Moradi ◽  
Behrouz Safarinejadian ◽  
Mohammad Hossein Shafiei
Keyword(s):  
Time Delay ◽  
Multiagent Systems ◽  
Sliding Mode ◽  
Linear Matrix ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Leader Following ◽  
Parameter Varying ◽  
Uncertain Time ◽  
Delay Dependent

This study addresses the consensus problem of leader-following multiagent systems, whose dynamics are governed by time-delay linear parameter-varying models with norm-bounded uncertainties. At first, a delay-dependent sufficient condition concerned with the existence of a parameter-varying sliding surface is given in terms of linear matrix inequalities. Then, a robust consensus among the leader and followers is achieved via the distributed linear parameter-varying sliding mode control protocol. Conditions for closed-loop stability are also presented in the form of some theorems. Simulation results demonstrate the effectiveness of the proposed approach.

H∞ Linear parameter varying Induction Motor Flux Observer Synthesis

2021 ◽  
Author(s):  
F. Benmessaoud ◽  
M. Bensmaine ◽  
D. Khamari ◽  
I. Benlaloui ◽  
Boutabba ◽  
...  
Keyword(s):  
Induction Motor ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Flux Observer ◽  
Parameter Varying
Sign in / Sign up

Export Citation Format

Share Document