This work presents a performance comparison between a Predictive Functional Control (PFC) and a traditional Proportional Integral Derivative (PID) controller specifically for a cruise control application. The tuning efficacy, constraints handling, and disturbance rejection features of both controllers are analysed by comparing their closed-loop response. A simplified nonlinear vehicle longitudinal dynamics model is derived and utilised as a plant to simulate the control response from a real car. For a fair comparison, both PFC and PID are tuned to achieve the similar desired closed-loop time response. Qualitatively, the results show that PFC provides a better closed-loop response, constraints handling, and disturbance rejection compared to PID. Besides, it is also found that the tuning approach of PFC is more intuitive and practical in nature which can be very handy for the future development of an autonomous cruise control application.
Accidents involving rollover in countries although low in numbers, recorded the highest Killed & Severed Injury (KSI) index and highest fatality index. The roof Crush Resistance test has been found to be one of the relevant tests to anticipate the impact of rollover incidents. However, a very limited number of research has been done on roof crush analysis using non-linear RADIOSS solver. Therefore, the aim of this study is to develop an FE model for roof crush analysis using RADIOSS and to validate and compare the RADIOSS model to LS-DYNA. An SUV is selected, and its finite element (FE) model obtained from CCSA is converted from LS-DYNA to RADIOSS with equivalent element type, element properties, material, and damage modelling adjustment. The analysis is performed according to FMVSS 216 standard and the result of deformation and SWR plot is compared to the NHTSA report. From the result, it has been shown that RADIOSS is a good alternative to run highly non-linear analysis such as roof crush analysis.
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