This grant is a subcontract to the University of Minnesota, under the supervision of Prof. Gary Balas. This AASERT subcontract augments the parent subcontract to UMN and is focused on the application of Linear Parameter Varying Control to Aerospace Systems. Recent results by Packard have shown that a continuously changing controller which depend on a measured variables, e.g. Mach number, dynami...

A robust PID controller design toolbox for Matlab is presented in this paper. The design is based on linearizing or convexifying the conventional non-convex constraints on the classical robustness margins or H∞ constraints. Then the existing optimization solvers can be used to compute the controller parameters. The software can be used in a wide range of controller design problems, including mu...

This chapter describes the design of controllers for the ideal CSTR using soft computing techniques namely, genetic algorithm and fuzzy logic. In this chapter, an attempt has been made to obtain the optimal PI controller parameters for each operating region using GA technique. GA based PI implements the characteristics of global optimization to optimize the PI control parameters Kp and Ki to pr...

In this paper, a new approach to design a robust gain scheduled linear parameter varying (LPV) PID controller with pole placement constraints (through LMI regions) is proposed for LPV systems with second order structure and time-varying delay. The controller structure includes a Smith predictor, real time estimated parameters that schedule the controller and Smith predictor (using the known par...

A simple method is presented to reduce the number of scheduling parameters for gain-scheduled controller implementation. The method is based on careful reformulation of the dynamic representation using dimensionless parameters. Parameter re-scaling is necessary to transform from one unit system to another, and this work utilizes unit transformations carefully to act as an implicit method of gai...

analysis are proposed. These conditions can be turned to a finite set of LMIs and allow the use of parameter-dependent Lyapunov functions. Accordingly, new LMI conditions for the H 2 gain scheduled controller synthesis problem are given. A numerical example highlights the effectiveness of the proposed conditions.

A new approach to gain scheduling the classical \three-loop" autopilot structure is discussed for both the single-axis (pitch) case and the three-axis case. Simulation results in the single-axis case show that the new gain scheduled controller yields better performance than a traditional approach. Analysis of the three-axis case indicates an even greater potential for performance improvement wi...

Abstract: The design of an adaptive sinusoidal disturbance rejection controller for SingleInput-Single-Output (SISO) systems is presented in this paper. Sinusoidal disturbance rejection problems exist in industry applications such as velocity ripples in a CNC milling machine. The controller is first developed based on the Internal Model Principle (IMP) and the polezero placement technique, then...

Kenneth H. McNichols / M. Sami Fadali Department of Electrical Engineering / MS 260 University of Nevada, Reno Reno, NV 89557 [email protected] / [email protected] Abstract Gain scheduling is a popular approach for nonlinear control system design. A controller is obtained by designing a set of controllers at operating points and then linearly interpolating controller values between them. Howe...

The aim of this paper is to discuss the use of gain scheduling to improve the performance of classical AQM controllers. We show that by using gain scheduling it is possible to synthesize controllers able to better cope with unwanted variations of the network operating regime; for example variations of the round-trip time, the load or the buffer capacities. Simulations are provided to compare th...