This brief addresses the problem of instability occurring in voltage control mode a non-minimum phase (NMP) DC-DC boost converter. To solve this issue presence uncertainties and external disturbances, quantitative feedback theory (QFT) is adapted to systematically design robust proportional integral derivative (PID) controller, which realized using only sensed output as feedback. The advantages...

In this paper, a novel Two-Degree-Of-Freedom (2DOF) design procedure for Multi-Input Multi-Output Quantitative Feedback Theory (MIMO QFT) problems with Tracking Error Specifications (TESs) is presented. In the proposed procedure, the feedback compensator design is separated from the pre-filter design, using the model matching approach and the unstructured uncertainty modeling concept. This pape...

In this research paper a method for the robust speed control of Indirect Field orient controlled induction motor (IM) is proposed. The quantitative feedback theory (QFT) in implemented to design controller order achieve desired performance closed loop system presence uncertainties and parameter variations. work QFT based designed simplified model IM. worst case all possible variations are taken...

This article presents the design of a robust force controller for a hydraulic actuator interacting with an uncertain environment via quantitative feedback theory (QFT). After the derivation of a realistic nonlinear differential equation model, a linearized plant transfer function is developed. The effects of nonlinearities are accounted for by describing the linearized model parameters as struc...

A magnetic levitation (maglev) system is inherently nonlinear and open-loop unstable because of the nature of magnetic force. Most controllers for maglev systems are designed based on a nominal linearized model. System variations and uncertainties are not accommodated. The controllers are generally designed to satisfy gain and phase margin specifications, which may not guarantee a bound on the ...

This paper presents a robust adaptive control design methodology for multi-input multi-output (MIMO) plants based on Quantitative Feedback Theory (QFT) and Externally Excited Adaptive System (EEAS), both of which are the novel ideas of Horowitz. Self Oscillating Adaptive Systems (SOAS) are proposed to mainly overcome the problem of large gain variations, which is important in certain applicatio...

Robust controller synthesis is of great practical interest and its automation is a key concern in control system design. Automatic controller synthesis is still a open problem. In this paper a new, efficient method has been proposed for automated synthesis of a fixed structure quantitative feedback theory (QFT) controller by solving QFT quadratic inequalities of robust stability and performance...

The paper deals with the wastewater treatment process control using QFT (Quantitative Feedback Theory) techniques. The aim of the control is to obtain an effluent having the substrate concentration within the standard limits established by law (under 20 mg/l). It has been admitted variable operating regimes in large limits. Three main regimes have been taken into account: rain, normal, and drou...

Whenever additional states of a plant can be measured, closing nested feedback loops exploited in variety ways. The goal here is to reduce the bandwidth controllers and thus amplification sensor noise that otherwise spoil expected performance when actuator saturates. This particularly relevant for demanding tracking specifications large uncertainties. In this context, current work proposes nove...

This paper presents the design and experimental evaluation of an explicit force controller for a hydraulic actuator in the presence of signi"cant system uncertainties and nonlinearities. The nonlinear version of quantitative feedback theory (QFT) is employed to design a robust time-invariant controller. Two approaches are developed to identify linear time-invariant equivalent model that can pre...