On the design of an adaptive fuzzy gain-scheduled autopilot

An adaptive fuzzy gain-scheduled missile autopilot uses a Takagi-Sugeno fuzzy system to represent the fuzzy relationship between the scheduling variables and controller parameters is developed. Mach number and angle-of-attack are used as measured, time-varying exogenous scheduling variables involved in the autopilot design. By incorporating scheduling parameter variation information, the adaptation law for controller parameters is derived. Results from extensive simulation studies show that the presented approach offers satisfactory controlled system performance.