The number of active automotive mechatronic control systems based on an integrated mechatronics based artificial intelligence (AI) systems approach [Fijalkowski 1987] in an automotive vehicle is rapidly escalating for getting better the performances and the safety of the vehicle, predominantly automotive mechatronic control systems for affecting the motion of the unibody or chassis. Anti-lock braking systems (ABS) as well as an electronic stability program (ESP) are standard equipment nowadays on automotive vehicles. In the not-too-distant future, it can be expected that vehicles will be equipped with emerging, advanced mechatronic control systems like an integrated unibody or chassis motion mechatronic control hypersystem, which may be normally broken down into longitudinal x axis (Roll), lateral y axis (Pitch) and vertical z axis (Yaw) mechatronic control systems: drive-by-wire (DBW), all-wheel-driven (AWD) propulsion and brake-by-wire (BBW), all-wheel-braked (AWB) dispulsion, steer-by-wire (SBW), all-wheel-steered (AWS) conversion, as well as absorb-by-wire (ABW), all-wheel-absorbed (AWA) suspension mechatronic control systems. Until now these emerging, advanced mechatronic control systems, when implemented, are controlled independently. However, it is clear that there is a strong coupling between them, coming from of the rubber tyres. Therefore, undesired coupling effects could lead to a severe loss of performance if not taken into consideration. However, with a good mechatronic control strategy, the coupling could be taken into account when reaching the absolute optimum.
KeywordsAutomotive Vehicle Internal Combustion Engine Controller Area Network Vehicle Body Autonomous Driving
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