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Optimized Hierarchical Sliding Mode Control for the Swing-Up and Stabilization of a Rotary Inverted Pendulum
by
Pham, Duc-Binh
, Dao, Quy-Thinh
, Nguyen, Thi-Van-Anh
in
Algorithms
/ Control algorithms
/ Controllers
/ Fuzzy logic
/ Fuzzy sets
/ hierarchical sliding mode control
/ Optimization techniques
/ Parameter robustness
/ Particle swarm optimization
/ Pendulums
/ Robust control
/ rotary inverted pendulum
/ Sliding mode control
/ Stabilization
/ swing-up and stabilization
/ tuning controller
2024
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Optimized Hierarchical Sliding Mode Control for the Swing-Up and Stabilization of a Rotary Inverted Pendulum
by
Pham, Duc-Binh
, Dao, Quy-Thinh
, Nguyen, Thi-Van-Anh
in
Algorithms
/ Control algorithms
/ Controllers
/ Fuzzy logic
/ Fuzzy sets
/ hierarchical sliding mode control
/ Optimization techniques
/ Parameter robustness
/ Particle swarm optimization
/ Pendulums
/ Robust control
/ rotary inverted pendulum
/ Sliding mode control
/ Stabilization
/ swing-up and stabilization
/ tuning controller
2024
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Do you wish to request the book?
Optimized Hierarchical Sliding Mode Control for the Swing-Up and Stabilization of a Rotary Inverted Pendulum
by
Pham, Duc-Binh
, Dao, Quy-Thinh
, Nguyen, Thi-Van-Anh
in
Algorithms
/ Control algorithms
/ Controllers
/ Fuzzy logic
/ Fuzzy sets
/ hierarchical sliding mode control
/ Optimization techniques
/ Parameter robustness
/ Particle swarm optimization
/ Pendulums
/ Robust control
/ rotary inverted pendulum
/ Sliding mode control
/ Stabilization
/ swing-up and stabilization
/ tuning controller
2024
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Optimized Hierarchical Sliding Mode Control for the Swing-Up and Stabilization of a Rotary Inverted Pendulum
Journal Article
Optimized Hierarchical Sliding Mode Control for the Swing-Up and Stabilization of a Rotary Inverted Pendulum
2024
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Overview
This paper presents a study on controlling a rotary inverted pendulum (RIP) system using a hierarchical sliding mode control (HSMC) approach. The objective is to swing up and stabilize the pendulum at a desired position. The proposed HSMC controller addresses the underactuation challenge through a hierarchical structure of sliding surfaces. The particle swarm optimization (PSO) algorithm is used to optimize the controller parameters. Simulations were performed to evaluate the performance of the HSMC controller at different initial pendulum angles, demonstrating its effectiveness in achieving swing-up and stabilization. The integration of the PSO algorithm enhances the controller’s adaptability and robustness, emphasizing the benefits of combining optimization algorithms with controller parameter tuning for underactuated systems like the RIP.
Publisher
MDPI AG
Subject
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