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Control derivative

Derivative controllers (D controllers) are practical only in combination with other controller modes. They provide a fast engagement at the beginning of the control action. Here the derivative controller output is proportional to the rate of change of the error [Eq. (86), where td is the derivative time]. [Pg.641]

The derivative mode of a D controller causes theoretically a large change in output of extremely short duration for a step-change in error. In practice, the effect of a derivative controller is to cause a short increase in the output variable, which then returns to the previous value. [Pg.642]


Some of the inherent advantages of the feedback control strategy are as follows regardless of the source or nature of the disturbance, the manipulated variable(s) adjusts to correct for the deviation from the setpoint when the deviation is detected the proper values of the manipulated variables are continually sought to balance the system by a trial-and-error approach no mathematical model of the process is required and the most often used feedback control algorithm (some form of proportional—integral—derivative control) is both robust and versatile. [Pg.60]

This is a mode of control that anticipates when a process variable will reach its desired control point by sensing its rate of change. This allows a control change to take place before the process variable overshoots the desired control point. You might say that derivative control gives you a little kick ahead. [Pg.292]

The temperature control was modeled by using these defining equations for a PID (Proportional-Integral-Derivative controller) algorithm ... [Pg.494]

Refers to derivative control, component D, delay or drum... [Pg.721]

We have to wait until the controller chapters to see that this function is the basis of a derivative controller and not till the frequency response chapter to appreciate the terms lead and lag. For now, we take a quick look at its time response. [Pg.59]

We certainly want to respond very differently if the temperature of a chemical reactor is changing at a rate of 100°C/s as opposed to l°C/s. In a way, we want to "project" the error and make corrections accordingly. In contrast, proportional and integral controls are based on the present and the past. Derivative controller action is based on how fast the error is changing with time (rate action control). We can write... [Pg.86]

To reduce derivative kick (the sudden jolt in response to set point changes), the derivative action can be based on the rate of change of the measured (controlled) variable instead of the rate of change of the error. One possible implementation of this idea is in Fig. 5.3. This way, the derivative control action ignores changes in the reference and just tries to keep the measured variable constant.2... [Pg.86]

Figure 5.3. Implementation of derivative control on the measured variable. Figure 5.3. Implementation of derivative control on the measured variable.
Another implementation of the actual PID control is to introduce the derivative control in series with PI control ... [Pg.88]

Example 5.4 Derive the closed-loop transfer function of a system with proportional-derivative control and a first order process. [Pg.97]

The time weighting function puts a heavy penalty on errors that persist for long periods of time. This weighting function also helps to derive controller settings which allow for low settling times. [Pg.107]

When we tune the feedforward controller, we may take, as a first approximation, xFLD as the sum of the time constants xm and x v. Analogous to the "real" derivative control function, we can choose the lag time constant to be a tenth smaller, xFLG = 0.1 xFLD. If the dynamics of the measurement device is extremely fast, Gm = KmL, and if we have cascade control, the time constant x v is also small, and we may not need the lead-lag element in the feedforward controller. Just the use of the steady state compensator Kpp may suffice. In any event, the feedforward controller must be tuned with computer simulations, and subsequently, field tests. [Pg.196]

Additional Linear." In there are the PID and PID with approximate derivative controllers. [Pg.240]

Presence of various nitrogen-containing compounds, or of fatty acids or their derivatives, controls the vigorous interaction of the ether and chlorosulfuric acid at above 40°C, producing higher yields of 4,4/-oxybisbenzenesulfonyl chloride. [Pg.1351]

When a proportional-only feedback controller is used, the ultimate gain is 2. Outline your procedure for finding the optimum value of tj, if a proportional-derivative controller is used. The optimum tj> wilt give the maximum value for the ultimate gain. [Pg.410]

C. PROPORTIONAUNTEGRAL-DERIVATIVE CONTROLLERS. PID controllers provide three adjustable parameters. We should theoretically be able to satisfy three specifications. A practical design procedure that 1 have used with good success for many years is outlined below ... [Pg.486]

A process has an openloop transfer function that is approximately a pure deadtime of D minutes. A proportional-derivative controller is to be used with a value of a equal to 0.1. What is the optimum value of the derivative lime constant Note that part of this problem involves defining what you mean by optimum. [Pg.497]

Ashkin and Dziedzic (1977) used the radiation pressure force of a laser beam to levitate microdroplets with the apparatus presented in Fig. 15. A polarized and electro-optically modulated laser beam illuminated the particle from below. The vertical position of the particle was detected using the lens and split photodiode system shown. When the particle moved up or down a difference signal was generated then a voltage proportional to the difference and its derivative were added, and the summed signal used to control an electro-optic modulator to alter the laser beam intensity. Derivative control serves to damp particle oscillations, while the proportional control maintains the particle at the null point. [Pg.29]

Herbicidal Activity of Various Benzoate Derivatives Control Rates in Kg/Ha... [Pg.34]

As expected, system 13 did in fact bind and transport zwitterionic a-amino acids through a model membrane barrier with good selectivity under conditions where the porphyrin-derived control system (14), lacking the carboxylate anion chelation ability inherent in 13, would not. Specifically, it was found that at neutral pH compound 13 acts as a very efficient carrier for the through model membrane (H2O-CH2CI2-H2O) transport of phenylalanine and tryptophan. Further, in direct competition experiments, L-phenylalanine was found to be transported four times faster than L-tryptophan and 1000 times faster than L-tyrosine. As implied above, little or no transport was observed when a porphyrin control (14) was used. Nor was significant transport observed when a mixture of sapphyrin and lasalocid was used. [Pg.121]

There are two frequently used algorithms to determine the control action in a feedback control system for bioprocess control, an on-off (two-positioned) control, and a PID (proportional-integral-derivative) control. [Pg.225]

Proportional-lntegral-Derivative Control The most common algorithm for control action in the feedback loop of processing industries is the PID control, which is a combination of proportional action (P), integral action (1), and differential action (D). [Pg.226]

Increase in fruit size is due mainly to cell enlargement. It is, therefore, not surprising that because auxins (indole-3-acetic acid and its derivatives) control cell extension,400-404 they have also been presumed to play... [Pg.341]

Derivative control is sensitive to noise that is made up of random higher frequency perturbations, such as splashing and turbulence generated by inflow in the case of liquid level control in a vessel, so that it is not satisfactory in such situations. The variety of composition controllers arises because of the variety of composition analyzers or detectors. [Pg.41]

Proportional plus integral plus derivative control action... [Pg.735]

A Brain glycolipids (gl), (500 ng, and glycoprotein (gp), 100 ng, were added to AKR spleen cells, and resulting PFC were enumerated in a lawn of C3H thymocytes. Culture medium (m) was added to control cultures. Antigens are identified by Thy-1.2 (C3H) or Thy-I.I (AKR) according to the mice from which they were derived. Control cultures were absorbed before addition to cultures with anti-Thy-1.2 (a-1.2) or anti-Thy-1.1 (a-I.l) antisera. Values are the means and standard errors of five cultures (3). [Pg.449]

Let s consider a typical basic process control loop (Figure 2.1). A pressure-indicating transmitter (PIT) sends the pressure signal to a proportional integral derivative controller (PID), which sends a signal to the control valve to... [Pg.19]

For GC/MS analyses, some laboratories use surrogate standard recovery limits from outdated versions of EPA Methods 8260 and 8270. These recovery limits, shown in Example 4.18, are fairly close to the statistically derived control limits at most laboratories and can be safely used in the evaluation of data quality. The surrogate... [Pg.260]


See other pages where Control derivative is mentioned: [Pg.783]    [Pg.292]    [Pg.402]    [Pg.87]    [Pg.107]    [Pg.240]    [Pg.100]    [Pg.100]    [Pg.145]    [Pg.151]    [Pg.641]    [Pg.234]    [Pg.76]    [Pg.6]    [Pg.569]    [Pg.735]    [Pg.263]    [Pg.194]    [Pg.13]   
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See also in sourсe #XX -- [ Pg.409 , Pg.410 ]

See also in sourсe #XX -- [ Pg.458 ]

See also in sourсe #XX -- [ Pg.161 ]




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