Adaptive Control Strategies for Precision Enhancement in 3DOF Parallel Kinematic Machines

Abstract

Precision enhancement in 3-degree-of-freedom (3DOF) parallel kinematic machines (PKMs) is critical for advanced manufacturing applications. This paper investigates adaptive control strategies aimed at improving precision. A comprehensive review of existing control methods is provided, followed by an in-depth analysis of adaptive control mechanisms, including model reference adaptive control (MRAC), adaptive sliding mode control (ASMC), and adaptive neural network control (ANNC). Experimental validation and simulations demonstrate the efficacy of these strategies in mitigating disturbances and compensating for system uncertainties, resulting in enhanced precision and performance of 3DOF PKMs.