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1.1 The belt speed of the process described in Fig. 1.2 is 12 ft/min, and the weigh cell is located 4 ft from the valve. Estimate the natural period under integral control and the reset, time required for +p-amplitude damping. Is this setting likely to be conservative W h y 1 .P The same process is to be controlled with a proportional-plus-reset controller, adjusted for a reset phase lag of 60 : Calculate the settings required for %-amplitude damping, and check your answer against Table 1.1.
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1 . 3 Figure 1.17 is an inverse vector diagram of a first-order lag. Construct a true vector diagram, indicating the magnitude and phase angle of each vector. 1 . 4 Construct a vector diagram for the proportional-plus-derivative controller described by Eq. (1.26). Indicate the magnitude and phase angle of each vector. 1.5 Calculate the gain of a dead-time plus single-capacity process whose natural period under proportional control is 3.0 Ed. What is the ratio of T~/TI Does this point fall on the curve of Fig. 1.26 1.6 A certain process consists of a 1-min dead time and a 30-min lag. Estimate the period and settings for s/4-amplitude damping under proportional-plusderivative control. Repeat for a proportional-plus-reset controller, assuming 45 phase lag in the controller.
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s pointed out in Chap. 1, it is doubtful whether any real process consists exclusively of dead time or single capacity or even a combination of the two. But having become familiar with the properties of these elements, we now can proceed to identify their contributions to complex processes. Some processes are difficult to control-particularly where dead time is dominant. But many processes are poorly controlled because their needs are not understood and therefore not satisfied. Real processes consist of a combination of dynamic elements and steady-state elements. When there are many dynamic elements present, their combined effect is hard to visualize. Even worse, one or more of these elements may be variable. The same is true for steady-state elements. In fact, one could venture to say that many engineers have less comprehension of the steady-state relationships in a complex process than of the dynamic properties. This chapter is devoted to identifying these characteristics for the general case and to putting them into a form in which they can be readily recognized and handled.
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;onlinearities naturally occurring in the process are cause for grave concern. JIost processes are nonlinear in some respect. Ident ification of the source and nature of a nonlinearity is of the utmost significance. Whether it is severe enough to be troublesome and how t he trouble can be corrected are important questions which will be answered in the pages that follow. General rules and methods will be stipulated, with a concrcte example to illustrate each point. Alany more cases will bc cited in later chapters as part of specific applications. It is especially important to keep in mind the prominence of nonlinear characteristics when studying an unfamiliar process; the engineer must how what to look for and what to expect. Tests improperly conducted can give results that are meaningless, confusing, or altogether misleading. The full significance of the characteristics of real processes must bc appreciated before an intelligent program of testing and evaluation can be undertaken.
MULTICAPACITY
Interaction
PROCESSES
The principal distinction to be made in multicapacity processes is the manner in which the capacities are joined. If they are said to be isolated or noninteracting, the capacities behave exactly as they would alone. Rut if coupled, they interact with one another, in which case the ( ontribution of each is altered by the interaction. Figure 2.1 compares the two forms.
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