Design of higher-order sliding mode controller based on genetic algorithm for a cooperative robotic system

2019 ◽  
Vol 8 (1) ◽  
pp. 269-277 ◽  
Author(s):  
Maryam Farahmandrad ◽  
Soheil Ganjefar ◽  
Heidar Ali Talebi ◽  
Mahdi Bayati
Keyword(s):  
Genetic Algorithm ◽  
Sliding Mode ◽  
Higher Order ◽  
Robotic System ◽  
Sliding Mode Controller

scholarly journals Robust Control Design using Discrete Sliding Mode Control for Higher-Order Uncertain Systems

2020 ◽  
Vol 9 (3) ◽  
pp. 3055-3063
Keyword(s):  
Sliding Mode ◽  
Linear Time ◽  
Higher Order ◽  
Delay Systems ◽  
Phase System ◽  
Sliding Mode Controller ◽  
Error Performance ◽  
Process Output ◽  
Observer Model ◽  
Robust Control Design

This paper considers a tracking problem on discrete-time higher-order linear time-delay systems. The improved observer-model following sliding mode controller (OMF-SMC) is proposed. The combination uses a classical Luyenberger observer based controller to achieve predefined process output and sliding mode controller is added to assure the robustness despite of uncertainty and external disturbances. To show the effectiveness of proposed method, four error performance indices, maximum peak overshoot and settling time are considered rigorously. The simulations results on the non-oscillatory, moderate oscillatory, integrating, unstable and non-minimum phase system demonstrates that the proposed approach performs better compared with classical PID controller, continuous and discrete sliding mode controllers.

scholarly journals Pareto Design of Decoupled Sliding-Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm

2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
M. J. Mahmoodabadi ◽  
A. Bagheri ◽  
N. Nariman-zadeh ◽  
A. Jamali ◽  
R. Abedzadeh Maafi
Keyword(s):  
Genetic Algorithm ◽  
Nonlinear Systems ◽  
Fourth Order ◽  
Inverted Pendulum ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Objective Functions ◽  
Software Environment ◽  
Multiobjective Genetic Algorithm ◽  
Sliding Mode Controllers

This paper presents Pareto design of decoupled sliding-mode controllers based on a multiobjective genetic algorithm for several fourth-order coupled nonlinear systems. In order to achieve an optimum controller, at first, the decoupled sliding mode controller is applied to stablize the fourth-order coupled nonlinear systems at the equilibrium point. Then, the multiobjective genetic algorithm is applied to search the optimal coefficients of the decoupled sliding-mode control to improve the performance of the control system. Considered objective functions are the angle and distance errors. Finally, the simulation results implemented in the MATLAB software environment are presented for the inverted pendulum, ball and beam, and seesaw systems to assure the effectiveness of this technique.

scholarly journals A Higher Order Sliding Mode Controller-Observer for Marine Vehicles

2019 ◽  
Vol 52 (21) ◽  
pp. 341-346
Author(s):  
Karl D. von Ellenrieder ◽  
Helen C. Henninger
Keyword(s):  
Sliding Mode ◽  
Higher Order ◽  
Sliding Mode Controller ◽  
Marine Vehicles
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