A new approach to gain scheduling linear dynamic controllers is illustrated on a pitch-axis autopilot design problem. In this application the linear controllers are designed at distinct operating conditions by H-Innnity methods. The gain scheduling procedure uses particular features of both the linear dynamic controllers and the controller connguration to remove so-called hidden coupling terms ...

Gain scheduling is one of the most popular nonlinear control design approaches which has been widely and successfully applied in fields ranging from aerospace to process control. Despite the wide application of gain scheduling controllers, there is a notable lack of analysis on the stability of these controllers. The most common application of these kinds of controllers is in the field of fligh...

This paper presents a gain-scheduled approach for boiler-turbine controller design. The objective of this controller design is to achieve tracking performance in the power output and drum pressure while regulating water level deviation. Also, the controller needs to take into account the magnitude and rate saturation constraints on actuators. The nonlinear boiler-turbine dynamics is brought int...

A control software verification framework for gas turbine engines is developed. A stability proof is presented for gain scheduled closed-loop engine system based on global linearization and linear matrix inequality (LMI) techniques. Using convex optimization tools, a single quadratic Lyapunov function is computed for multiple linearizations near equilibrium points of the closed-loop system. Wit...

A stochastic stabilization problem for a class of discrete-time switched linear singular system is considered in this paper. By using the Bernoulli variable, a kind of stochastic controller is developed, which ensures the discrete-time switched linear singular system stochastically stable. Based on a linear matrix inequality technology, a sufficient existence condition for such new controller i...

A multimodel controller design procedure combined with gain scheduling methods is evaluated for a highly nonlinear chemical process. The controller synthesis method is based on a mixed H2/H∞ problem to achieve good quadratic performance and robustness for a multimodel plant description. The performance obtained with the optimal multimodel controller, gain scheduled controllers and conventional ...