Fixed-order Control of Active Suspension: a Hybrid Approach

This paper considers the design of a controller for an active suspension 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 with a Riccati approach by splitting the problem into a convex and a non-convex subproblem. Simulation results demonstrate that a performance superior to that of previously published results can be achieved. Copyright c 2005 IFAC