scholarly journals Modified Integral Sliding Mode Controller Design based Neural Network and Optimization Algorithms for Two Wheeled Self Balancing Robot

2018 ◽  
Vol 10 (8) ◽  
pp. 11-21 ◽  
Author(s):  
Ekhlas karam ◽  
◽  
Noor Mjeed
Keyword(s):  
Neural Network ◽  
Controller Design ◽  
Sliding Mode ◽  
Optimization Algorithms ◽  
Sliding Mode Controller ◽  
Integral Sliding Mode ◽  
Balancing Robot

Robust Nonlinear Double Integral Sliding Mode Controller Design for Mitigating SSR in DFIG-Based Wind Farms

2021 ◽  
Author(s):  
Farjana Faria ◽  
Tushar Kanti Roy ◽  
Most. Mahmuda Khatun ◽  
Tanmoy Sarkar ◽  
Tabassum Haque ◽  
...  
Keyword(s):  
Controller Design ◽  
Sliding Mode ◽  
Wind Farms ◽  
Sliding Mode Controller ◽  
Double Integral ◽  
Integral Sliding Mode

scholarly journals A neural network combined with sliding mode controller for the two-wheel self-balancing robot

2021 ◽  
Vol 10 (3) ◽  
pp. 592
Author(s):  
Duc-Minh Nguyen ◽  
Van-Tiem Nguyen ◽  
Trong-Thang Nguyen
Keyword(s):  
Neural Network ◽  
Control Method ◽  
Sliding Mode ◽  
Lyapunov Theory ◽  
Sliding Mode Controller ◽  
Control Laws ◽  
Noise Compensation ◽  
Simulation Results ◽  
Balancing Robot ◽  
The Stability

This article presents the sliding control method combined with the selfadjusting neural network to compensate for noise to improve the control system's quality for the two-wheel self-balancing robot. Firstly, the dynamic equations of the two-wheel self-balancing robot built by Euler–Lagrange is the basis for offering control laws with a neural network of noise compensation. After disturbance-compensating, the sliding mode controller is applied to control quickly the two-wheel self-balancing robot reached the desired position. The stability of the proposed system is proved based on the Lyapunov theory. Finally, the simulation results will confirm the effectiveness and correctness of the control method suggested by the authors.

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