Dr. Hussien Alwedyan, Associate Professor in Mechanical Engineering at the HCT-Al Ain Men’s campus (AAM), presented a paper entitled “Identification of the Virtual Reality Bikes’ Frame using Input-Output data in System Identification ToolBoxTM/ MATLAB®” at the 4th International Conference on Production Automation and Mechanical Engineering, ICPAME’ 2018 held in University De Quebec Montreal in Montreal, Canada, August 3-4, 2018.
This paper is a result of extensive collaboration with Mohamad AlWedian in the Mechatronics Engineering department at the HCT- Ras Al Khaimah Men’s campus. The system identification toolbox™ under MATLAB®, which is an excellent tool for constructing mathematical models of dynamic systems from measured input-output data, is used to model the system under study.
It creates models of dynamic systems not simply modeled from first principles or specifications. The input-output data whether time-domain or frequency-domain are used to identify different continuous-time or discrete-time transfer functions, process models, and state-space models. The toolbox has proven its capabilities to mimic the actual behavior of unknown systems. In this paper, an input-output data in the time domain for the whirling motion of the virtual reality bikes’ frame is used to identify the system. Four model structures are used under System Identification Toolbox/ MATLAB®, the transfer function, the state space, the process and the polynomial. The best model to describe the system is the process model with best fit equal to 71.12. With this toolbox, the possibilities are limitless but will result in a computational complexity.