Modelling and Simulation of Mechatronic Systems for Predictive Performance Analysis

Abstract

Modelling and simulation play a pivotal role in the development and analysis of mechatronic systems. The integration of mechanical, electrical, and control components in mechatronic systems creates complex dynamics that require comprehensive understanding and predictive performance analysis. This paper presents a thorough exploration of the use of modelling and simulation techniques for predictive performance analysis in mechatronic systems. This paper provides an in-depth examination of the role of modelling and simulation in the context of mechatronic systems for predictive performance analysis. The presented research underscores the significance of these techniques in the design and optimization of mechatronic systems, enabling engineers to make informed decisions and enhance system performance. By leveraging modelling and simulation, engineers can create virtual environments that replicate the behaviour of mechatronic systems, facilitating comprehensive analysis and contributing to the advancement of this interdisciplinary field.The paper explains emphasizing the growing importance of modelling and simulation in the field of mechatronics. The ability to predict the performance of mechatronic systems through virtual experimentation enhances the design process, reduces the risk of failure, and increases the overall system performance. As technology advances, the integration of modelling and simulation with emerging technologies, such as artificial intelligence and machine learning, opens up new avenues for further advancements in predictive performance analysis of mechatronic systems.