Fixed-Order Control of Active Suspension: A Hybrid Approach
Abstract
This paper considers the design of a controller for an active suspension system benchmark problem. For a plant model of 27th order, a 5th order controller that meets performance specifications in terms of sensitivity and control sensitivity is designed, using a novel Hybrid Evolutionary-Algebraic approach to low-order mixed-sensitivity design. This method combines evolutionary techniques and algebraic solvers at the lowest level. Simulation results demonstrate that a performance superior to that of previously published results can be achieved.
