Reinforcement Learning-Based Composite Controller for Cable-Driven Parallel Suspension System at High Angles of Attack

Reinforcement Learning-Based Composite Controller for Cable-Driven Parallel Suspension System at High Angles of Attack

This paper investigates an intelligent method for the motion control of a cable-driven parallel suspension system (CDPSS) in wind tunnel tests, especially at high angles of attack, which is characterized by unsteady and nonlinear aerodynamics. Considering the modeling uncertainties and the complex a...

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Bibliographic Details
Main Authors: Weiping Wang, Xiaoguang Wang, Chulun Shen, Qi Lin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Wind tunnel test
cable-driven parallel mechanism
high angle of attack
motion control
DDPG
Online Access:https://ieeexplore.ieee.org/document/9745136/

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