An Adaptive Sliding Mode Excitation Controller Design for Synchronous Generators

2021 ◽  
Author(s):  
T. K. Roy ◽  
F. Faria ◽  
S. K. Ghosh ◽  
M. A. H. Pramanik
Keyword(s):  
Controller Design ◽  
Sliding Mode ◽  
Synchronous Generators ◽  
Adaptive Sliding Mode ◽  
Mode Excitation

Adaptive Sliding Mode Controller Design for a Nonlinear Inverted Pendulum with Unknown Physical Parameters and its Experiment

2011 ◽  
Vol 128-129 ◽  
pp. 50-53
Author(s):  
Qing He ◽  
Jin Kun Liu
Keyword(s):  
Inverted Pendulum ◽  
Controller Design ◽  
Sliding Mode ◽  
Adaptive Sliding Mode Control ◽  
Physical Parameters ◽  
Adaptive Sliding Mode ◽  
Adaptive Sliding Mode Controller ◽  
Adaptive Law ◽  
System Robustness ◽  
High Degree

In this paper, an adaptive sliding mode control (ASMC) method for a single inverted pendulum (IP) is proposed. The physical parameters are transformed into the model information, thus adaptive law for the IP can be designed with unknown physical parameters. By simulation and experiments, we found that the ASMC method can keep the IP in the upright position, with quick parameters adjustment and high degree of system robustness.

scholarly journals Design Fuzzy Input-Based Adaptive Sliding Mode Control for Vessel Lift-Feedback Fin Stabilizers with Shock and Vibration of Waves

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Lihua Liang ◽  
Mingxiao Sun ◽  
Tiantian Luan
Keyword(s):  
Sliding Mode Control ◽  
Controller Design ◽  
Sliding Mode ◽  
Feedback System ◽  
System Stability ◽  
Superior Performance ◽  
Adaptive Sliding Mode Control ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Fuzzy Input

An adaptive sliding mode controller based on fuzzy input design is presented, in order to reduce the roll motion of surface vessel fin stabilizers with shock and vibration of waves. The nonlinearities and uncertainties of the system including feedback errors and disturbance induced by waves are analyzed. And the lift-feedback system is proposed, which improves the shortage of conventional fin angle-feedback. Then the fuzzy input-based adaptive sliding mode control is designed for the system. In the controller design, the Lyapunov function is adopted to guarantee the system stability. Finally, experimental results demonstrate the superior performance of the controller designed using fuzzy input, when compared to the PID controller used in practical engineering.

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