(BQ) Part 2 book "Intelligent mechatronics book" has contents: Hybrid planning for Self-Optimization in railbound mechatronic systems; an evidence accrual data fusion technique for situational assessment; intelligent mechatronic system for automatically evaluating the training of the laparoscopic surgeon; reliability of authenticated key establishment protocols in a complex sensor system,.and other contents. | Part 3 Physical System Modelling and Real Time Applications 9 Methodology for Reusing Real-time HiL Simulation Models in the Commissioning and Operation Phase of Industrial Production Plants 1Institute Sebastian Kain1, Frank Schiller1, and Sven Dominka2 of Information Technology in Mechanical Engineering, Automation Group, Technische Universität München, 2School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology, 1Germany 2Australia 1. Introduction Automation Industry is dealing with productivity, costs, quality and flexibility in the manufacturing process. In addition to the classic requirements of increasing productivity, reduction of costs and increasing quality, flexibility plays a significant role in the modern manufacturing process. These requirements are fulfilled by development, adaptation, and application of advanced engineering processes and methodologies improving mechanics, electronics and software development. One methodology that is widely applied in the development of complex mechatronic systems is HiL Simulation. By definition, a Hil (HiL) Simulation is a system that combines parts of a real system with parts of its simulated counterpart (Stoeppler et al., 2005; Grega, 1999). It is one of the best-known methods for testing embedded systems (Yan et al., 2005; Boot et. al., 1999) by providing the possibility of validating software execution on the original hardware without the dangers that are evoked by a malfunction of the controller in combination with the real mechanic system (Pfister et al., 1999). In the early stages of the production plant lifecycle, ranging from Basic Design to Plant Engineering, discrete event simulation models are created reproducing the behavior of the mechanic system. Supporting the engineering of the control system, these models are executed in a real-time environment and connected to the control logic for desk checks. At the end of the Engineering Phase, the application of HiL Simulation
