Performance measures and control laws for active and semi-active suspensions

TL;DRAbstract

This thesis concentrates on two competing performance requirements of general suspension systems: 'smoothness' and tracking. The focus of the thesis is on real-time feedback controls which can be applied in microprocessors with relatively limited capacity.<br><br>Evolutionary algorithms (EAs) are used as a tool in the investigation of a wide range of control algorithms. Jerk (the rate of change of acceleration) is used as the basis of the suspension comfort performance measure, and a nonlinear cost function is applied to tracking, which targets the travel limits of the suspension (termed the 'rattlespace'). Tracking measures currently in use generally fail to explicitly refer to the working space width. This matter is analysed, showing that driver slowdown is a complicating factor. <br><br>The test rig of the physical experiment is of the semi-active type. High performing semi-active controls are generally based on active controls. Thus active controls are also investigated in this the

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