Advanced Sensor Integration for Enhanced Feedback Control in Parallel Kinematic Machines

Abstract

Parallel kinematic machines (PKMs) offer significant advantages in precision and speed due to their unique mechanical structures. However, achieving optimal performance requires effective feedback control systems, which can be significantly enhanced through advanced sensor integration. This paper explores the impact of integrating cutting-edge sensors on the feedback control mechanisms of PKMs. We propose a comprehensive sensor integration framework that combines various types of sensors, including position encoders, force sensors, and accelerometers, to provide a more accurate and responsive control system. The study evaluates the proposed framework through simulations and experiments, demonstrating improvements in control accuracy, system stability, and overall performance. The findings offer valuable insights into leveraging advanced sensor technologies to optimize PKM operations and highlight future research directions for further advancements in sensor-based control systems.