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Time-integral criteria

Several criteria may be used to estimate the quality of control (Stephanopoulos, 1984). One of these is the integral of the time-weighted absolute error (ITAE), where [Pg.104]

Integral error criteria are ideally suited to simulation applications since only one additional program statement is required for the simulation. The optimal control parameters Kp, Tj and Xq can be then found at minimal ITAE. For this, it is useful to be able to apply the available optimisation tools implemented in such programs as MATLAB, SIMUSOLV and ESL. [Pg.105]

In control situations with more than one measured variable but only one manipulated variable, it is advantageous to use control loops for each measured [Pg.76]

An example of cascade control could be based on the simulation example DEACT and this is shown in Fig. 2.24. The problem involves a loop reactor with a deactivating catalyst, and a control strategy is needed to keep the product concentration Cp constant. This could be done by manipulating the feed rate into the system to control the product concentration at a desired level, Cget- In this cascade control, the first controller establishes the setpoint for flow rate. The second controller uses a measurement of flow rate to establish the valve position. This control procedure would then counteract the influence of decreasing catalyst activity. [Pg.77]


Example 16.2 Controller Tuning Using Time-Integral Criteria... [Pg.162]

Remark. A proportional controller leads to a non-zero offset. Therefore, the value of the time-integral criteria, ISE, IAE, or ITAE is infinite, and the use of such criteria for tuning proportional controllers is analytically difficult . In such cases, it is equivalent to tune the proportional controller for minimum offset, within the range of allowable values for the proportional gain. [Pg.163]

What are the relative advantages and disadvantages of the three time-integral criteria, ISE, IAE, and ITAE How would you select the most appropriate for a particular application ... [Pg.168]

Why do the time-integral criteria lead to unique solutions ... [Pg.168]

Economics in process control, 3, 10-11, 15, 26, 532-34 Environmental regulations, 3 Equal-percentage valve, 254, 255 Equations of state, 57 Equilibria, 56, 78 chemical, 56 phase, 56-57, 71, 75, 78 Error criteria (see Time integral criteria) Euler s identities, 131-32, 149 Experimental modeling, 45, 656 frequency response techniques, 668 process identification, 657-62 time constant determination, 228, 232 Exponential function, 130 approximations, 215-16 Laplace transform, 130 z-transform, 592... [Pg.354]

Figure 16.3 Closed-loop responses using various time integral criteria. Figure 16.3 Closed-loop responses using various time integral criteria.
For the same time integral criterion, different input changes lead to different designs. [Pg.519]

For inertial confinement fusion, a criterion equivalent in meaning to the Lawson criterion but different in form is applicable, wbicb considers time integrated quantities during the whole fusion bum process rather than the steady-state conditions in the original Lawson criterion. For the simple calculations below, uniform compression of a pellet is considered. Suppose that ignition and fusion bum conditions are attained when the pellet containing Nq atoms has a radius of Rq. [Pg.2764]

Noise dose As defined by OSHA, e ratio, expressed as a percentage, of (1) the time integral, over a stated time or event, of the 0.6 power of the measured SLOW exponential time-averaged, squared, A-weighted sound pressure or (2) the product of the criterion duration (8 hours) and the 0.6 power of the squared sound pressure corresponding to the criterion sound level (90 dB). [Pg.416]

Since it is obvious that the probability of a given mutational event depends not only on the concentration of the mutagenic agent but also on how long the bacteria are exposed to the mutagen, the development of the model takes the time-integrated concentration C(r) as the criterion for the appearance (or non-appearance) of mutants at the position r. The quantity C(r) is defined as ... [Pg.262]

With respect to other similar time-integral performance criteria, the ITAE criterion was chosen since it is able to suppress errors that might persist for long times. The minimization of ITAE was performed by available numerical algorithms implemented within the exploited simulation software. [Pg.590]

Proportional gain, integral and derivative time constants to PI and PID controllers. Different settings for load and set point changes. Different settings for different definitions of the error integral. The minimum ITAE criterion provides the least oscillatory response. [Pg.257]

For a first order function with deadtime, the proportional gain, integral and derivative time constants of an ideal PID controller. Can handle dead-time easily and rigorously. The Nyquist criterion allows the use of open-loop functions in Nyquist or Bode plots to analyze the closed-loop problem. The stability criteria have no use for simple first and second order systems with no positive open-loop zeros. [Pg.258]

Due to the second criterion, time-to-tumor models were eliminated from consideration. These models require more detailed experimental data than is generally available. Moreover, it is difficult and unproductive to interpret the distribution of time-to-tumor in the context of human exposures. In most cases, the time-to-tumor variable would be integrated over a human lifetime, thus reducing the model to a purely dose-dependent one. Therefore we restrict our attention to quantal response models that estimate lifetime risks. [Pg.303]

After the momenta are selected from the distribution (8.39), the dynamics is propagated by a standard leapfrog algorithm (any symplectic and time-reversible integrator is suitable). The move is then accepted or rejected according to a criterion based on the detailed balance condition... [Pg.296]

At integrating (305) for the conditions of a flow system (93, 98), it proved to be convenient to introduce a constant k proportional to k. The value of k was also calculated from data obtained in circulation flow systems (4, 96, 99-103). If the volume of ammonia reduced to 0°C and 1 atm, formed in unit volume of catalyst bed per hour, is accepted as a measure of reaction rate, then k = (4/3)3 1 m)k (101). The constancy of k at different times of contact of the gas mixture with the catalyst and different N2/H2 ratios in the gas mixture can serve as a criterion of applicability of (305). Such constancy was obtained for an iron catalyst of a commercial type promoted with A1203 and K20 at m = 0.5 (93) from our own measurements at atmospheric pressure in a flow system and literature data on ammonia synthesis at elevated pressures up to 100 atm. A more thorough test of applicability of (305) to the reaction on a commercial catalyst at high pressures was done by means of circulation flow method (99), it confirmed (305) with m = 0.5 for pressures up to 300 atm. Similar results were obtained in a large number of investigations by different authors in the USSR and abroad. These authors, however, have obtained for some promoted iron catalysts m values differing from 0.5. Thus, Nielsen et al. (104) have found that m 0.7. [Pg.253]

Here n Is the refractive Index of the medium and X Is the wavelength of Incident light In a vacuum. We modified Provencher program to call a subroutine which would supply values of (l (a)/a ) for the kernel of the Integral. The Initial solution Is that with little or no regularization. A chosen solution where the Increase In the objective function over the Initial solution could about 50% of the time be due to experimental noise and about 50% of the time be due to oversmoothing, Is selected by a statistical criterion (4,5). [Pg.108]

As shown in the above works, an optimal feedback/feedforward controller can be derived as an analytical function of the numerator and denominator polynomials of Gp(B) and Gn(B). No iteration or integration is required to generate the feedback law, as a consequence of the one step ahead criterion. Shinnar and Palmor (52) have also clearly demonstrated how dead time compensation (discrete time Smith predictor) arises naturally out of the minimum variance controller. These minimum variance techniques can also be extended to multi-variable systems, as shown by MacGregor (51). [Pg.107]


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See also in sourсe #XX -- [ Pg.76 ]




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