Maximization of the fuel economy of the lean burn spark ignition (SI) engine strongly depends on precise air-fuel ratio control. A great challenge associated with the air-fuel ratio feedback control is the large variable time delay in the exhaust system. In this paper, a systematic development of an air-fuel ratio controller based on post lean NOx trap (LNT) oxygen sensor feedback using linear ...

Results on polynomial fixed order controller design are extended to SISO gainscheduling with guaranteed stability andH∞ performance over the whole scheduling parameter range. Salient features of the approach are (a) the use of polynomials as modeling objects; (b) the use of flexible LMI conditions allowing polynomial dependence of the open-loop system and controller transfer functions in the sc...

The present chapter is concerned with presenting an approach for the synthesis of a gainscheduled flight control law that assures compliance to trajectory tracking requirements. More precisely, a strategy is proposed for improving the tracking performances of a baseline controller, obtained by conventional synthesis techniques, by tuning its gains. The approach is specifically designed for atmo...

A gain-scheduling approach for uncertain Linear Parameter-Varying (LPV) systems with fixed linear fractional relationships on a parameter set is developed. The approach combines LPV theory based on Linear Matrix Inequalities (LMIs) and μ-synthesis to form a new robust approach for large envelope control design. The new approach is used to design an automatically gain-scheduled pitch-rate contro...

This paper proposes a fuzzy gain scheduled output feedback control for variable-speed variable-pitch wind turbine in full load region. The proposed method is based on modeling the nonlinear system as a family of systems linearized around a specific operating point. The goal is to design optimal PI controllers based on linear models and a fuzzy scheduler. The parameters of each PI controller are...

The proposed work attempts gain scheduled particle swarm optimization (PSO) based internal model control (IMC) for tank level process. IMC requires determining a single parameter , the filter constant. Optimal value of the filter constant is determined using PSO, an evolutionary technique. The tank process is nonlinear in nature. Model and inverse model are found for each linear region separat...

This paper focuses on developing a linear parameter varying (LPV) controller for an airbreathing hypersonic vehicle using a velocity-based approach. The design of flight control systems for airbreathing hypersonic vehicles is a highly challenging task due to the unique characteristics of the vehicle dynamics. Motivated by recent results on a velocity-based linearization approach and LPV control...

in this paper, a new analytical method to find a near-optimal high gain controller for the non-minimum phase affine nonlinear systems is introduced. this controller is derived based on the closed form solution of the hamilton-jacobi-bellman (hjb) equation associated with the cheap control problem. this methodology employs an algebraic equation with parametric coefficients for the systems with s...