Comparison and development of linear, active and semiactive suspension control (with modifications) using evolutionary algorithms

Over a number of years the authors have been investigating active and semi-active suspension control algorithms. While a few nonlinear controls have performed well in simulations the resilience of the linear control has been remarkable. Note that controls over jerk (the rate of change of acceleration) are included here as linear controls. The great advantage of linear controls is that the on-board mathematics is much simpler than the more successful nonlinear controls that we have found. Thus the controls are easy to understand, they run fast, and they tend to be relatively bug-free in coding. Given their resilience the authors anticipate that these
algorithms require at least further investigation and should be used a benchmarks for further development. In our simulation experiments, however, it has been found however that a number of very simple, minor modifications to the linear control produce improvements in performance.