{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}



Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
CHAPTER 6 INTRODUCTION TO SYSTEM IDENTIFICATION Broadly speaking, system identification is the art and science of using measurements obtained from a system to characterize the system. The characterization of the system is usually in some mathematical form. The limited cases considered here will use differential equations, in particular, first and second order differential equations. When the form of the differential equation is known the system identification problem is reduced to that of parameter identification. Present industrial practice presents several situations where system identification is used. An important application is in industrial controls. Before a controller can be designed some things must be known about the system which is to be controlled. Many systems do not lend themselves to modeling and the most effective way to find out about the system is to make measurements and apply the methods of system identification. The use of the methods covered in this course and even more sophisticated methods such as finite element methods for modeling real engineering systems, even simple ones, yield only approximate results and the models must be adjusted using data obtained from the system. For most mechanical systems there are no analytical methods for predicting system damping so that engineering judgment or system identification methods must be used. The measurements which are used for system identification can arise in one of several ways. For large systems such as a building, ambient data is used. That is, natural excitations such as wind, are used to excite the system. Even for uncontrolled random excitations such as this, spectra that show the average distribution of response signal power as a function of frequency can be used to identify system characteristics. These methods will not be discussed further here. We will use several controlled inputs to give system responses which are easier to analyze. These would include a step input (such as a sudden change in temperature of a thermo system), a snap back (such as deflecting a spring-mass system and then suddenly releasing it), an impulse (such as striking a spring-mass system with a sharp blow), or sinusoidal input. The selection of which input to use is a function of your ability to generate the input and record and analyze the response. These notes will only cover 1st and 2nd order systems. Real engineering systems are rarely 1st or 2nd order systems so the practical utility of these simple systems is questionable. Fortunately, from an analysis point of view, even complex mechanical systems can be represented by several connected first and second order systems. Consider as an example the measurement system shown in Figure 1. The first component is an accelerometer which is a second order system, it is connected to an amplifier which is a first order system, and a recording device which can be
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
6-2 modeled as a second order system. The total measurement system is thus fifth order but can be modeled as three simpler systems connected in series.
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 19


This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon bookmark
Ask a homework question - tutors are online