File Name: analysis and synthesis of single input single output control systems .zip
This paper presents a robust feedback control solution for systems with multiple manipulated inputs and a single measurable output.
Control theory deals with the control of dynamical systems in engineered processes and machines. The objective is to develop a model or algorithm governing the application of system inputs to drive the system to a desired state, while minimizing any delay , overshoot , or steady-state error and ensuring a level of control stability ; often with the aim to achieve a degree of optimality. To do this, a controller with the requisite corrective behavior is required. This controller monitors the controlled process variable PV , and compares it with the reference or set point SP. The difference between actual and desired value of the process variable, called the error signal, or SP-PV error, is applied as feedback to generate a control action to bring the controlled process variable to the same value as the set point. Other aspects which are also studied are controllability and observability. This is the basis for the advanced type of automation that revolutionized manufacturing, aircraft, communications and other industries.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Guzzella Published Computer Science. This text supports a first course on feedback control systems in an engineering undergraduate program. Its primary objectives are to introduce the main ideas and to show the basic approaches for the design of simple yet practically relevant control systems. Readers planning to work through this text should have a clear understanding of elementary complex analysis, of matrix algebra and of calculus, including ordinary differential equations.
In this chapter the engineering tool for feedback design of single-input single-output and multi-input single-output systems, known as QFT, is introduced. The important features of this approach are: i it is robust to the exact amount of plant uncertainty; ii it tailors the closed loop precisely to the specifications which are given at each frequency; and iii the technique is graphically based, therefore allowing for insight into tradeoffs amongst design parameters such as complexity, scheduling, amount of uncertainty, sampling time, margins and bandwidth. As a result, the method allows the designer to come up with low bandwidth designs. Unable to display preview.
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