24
In the preceding chapter we used the Laplace transform to obtain transfer function models representing linear, time- invariant physical systems described by ordinary differential equations. This method is attractive because it provides a practical approach to design and analysis and allows us to utilize block diagrams to interconnect subsystems. In this chapter we turn to an alternative method of system modeling using time-domain methods. As before, we will consider physical systems described by an nth-order ordinary differential equation. Utilizing a (nonunique) set of variables, known as state variables, we can obtain a set of first-order differential equations. We group these first-order equations using a compact matrix notation in a model known as the state variable model. The time-domain state variable model lends itself readily to computer solution and analysis. The relationship between signal-flow graph models and state variable models will be investigated. Several interesting physical systems, Chapter 3: State Variable Models Objectives

chapter-3

Embed Size (px)

DESCRIPTION

Control system

Citation preview

Page 1: chapter-3

In the preceding chapter we used the Laplace transform to obtain transfer function models representing linear, time-invariant physical systems described by ordinary differential equations. This method is attractive because it provides a practical approach to design and analysis and allows us to utilize block diagrams to interconnect subsystems. In this chapter we turn to an alternative method of system modeling using time-domain methods. As before, we will consider physical systems described by an nth-order ordinary differential equation. Utilizing a (nonunique) set of variables, known as state variables, we can obtain a set of first-order differential equations. We group these first-order equations using a compact matrix notation in a model known as the state variable model. The time-domain state variable model lends itself readily to computer solution and analysis. The relationship between signal-flow graph models and state variable models will be investigated. Several interesting physical systems, including a printer belt drive, are presented and analyzed

Chapter 3: State Variable ModelsObjectives

Page 2: chapter-3
Page 3: chapter-3
Page 4: chapter-3
Page 5: chapter-3
Page 6: chapter-3
Page 7: chapter-3
Page 8: chapter-3
Page 9: chapter-3
Page 10: chapter-3
Page 11: chapter-3
Page 12: chapter-3
Page 13: chapter-3
Page 14: chapter-3
Page 15: chapter-3
Page 16: chapter-3
Page 17: chapter-3
Page 18: chapter-3
Page 19: chapter-3
Page 20: chapter-3
Page 21: chapter-3
Page 22: chapter-3
Page 23: chapter-3
Page 24: chapter-3