Real-Time HIL Implementation of DDPG-Based Reinforcement Learning Controller for a DC Servo Motor With Inertia Disc and Rotary Inverted Pendulum

This paper presents a real-time Hardware-in-the-Loop (HIL) implementation of a Deep Deterministic Policy Gradient (DDPG) based reinforcement learning (RL) controller for the stabilization and trajectory tracking of a DC servo motor system coupled with an inertia disc and rotary inverted pendulum. Th...

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主要な著者:	K. Vijaya Lakshmi, M. Manimozhi
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2025-01-01
シリーズ:	IEEE Access
主題:	Reinforcement learning DDPG servo motor inertia disc rotary inverted pendulum control system
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11270871/
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