Akbarkhon Abdusamadov
Design and Implementation of an Inverted Pendulum Control System using FPGA and Reinforcement Learning.
Rel. Stefano Alberto Malan. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2023
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Abstract
The inverted pendulum system is a widely recognized control problem that revolves around the task of stabilizing a pendulum connected to a movable base. The primary objective is to keep the pendulum in an upright position, despite its inherent instability, by manipulating the movement of the cart. This system serves as a crucial benchmark for evaluating and testing control algorithms, finding applications in diverse domains such as robotics and industrial automation. Effectively controlling the inverted pendulum has far-reaching implications for the advancement of autonomous vehicles, bipedal robots, and other dynamic systems that rely on maintaining balance and stability. This master's thesis project aims to tackle the inverted pendulum problem from various perspectives, with three main objectives.
Firstly, an environment of the inverted pendulum will be constructed in OpenAI Gym, and reinforcement learning techniques, specifically Proximal Policy Optimization (PPO), will be utilized to achieve balance
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