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Assessment and Future Directions of Nonlinear Model Predictive ...

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592 A.N. Venkat, J.B. Rawlings, <strong>and</strong> S.J. Wrightprocedure was described. The opportunity presented for cross-integration withinthe MPC framework <strong>and</strong> potential requirements <strong>and</strong> benefits <strong>of</strong> such technologyhas been discussed in [4, 7, 9].2 MotivationConsider the distillation column described in [12, p. 813]. Tray temperatures actas inferential variables for composition control. The outputs y 21 ,y 7 are the temperatures<strong>of</strong> trays 21 <strong>and</strong> 7 respectively <strong>and</strong> the inputs L, V denote the refluxflowrate <strong>and</strong> the vapor boilup flowrate to the distillation column. Two SISO PIDcontrollers with anti-reset windup are used to control the temperatures <strong>of</strong> thetwo trays. The implications <strong>of</strong> the relative gain array (RGA) elements on controllerdesign has been studied in [18]. While the RGA for this system suggestspairing L with y 21 <strong>and</strong> V with y 7 , we intentionally choose a bad control variable–manipulated variable pairing. PID-1 manipulates V to control y 21 .PID-2controlsy 7 by manipulating L. It will be shown later that unlike cooperation-basedformulations, decentralized or communication-based strategies cannot repair thiskind <strong>of</strong> bad design choice. The PID controllers are tuned employing the rulesdescribed in [12, p. 531]. The system exhibits unstable closed-loop behavior dueto the poor manipulated variable–control variable pairing. Expectedly, decentralizedMPC does not fare any better. For such a small control problem, the fixis well known <strong>and</strong> obvious; switching the manipulated variable–control variablepairing gives much improved performance (though suboptimal) with the twodecentralized PID <strong>and</strong> MPC controllers.Make up CO2FxFSubsystem 1FlashExtractorxFsLx ipaDStrippingColumnSubsystem 2SySRx ipaRTSReboilerTshFwTrim CoolerSubsystem 3Bx ipaBFig. 1. Supercritical fluid extraction (SFE) process. Supercritical CO 2 is used to extractiso-propyl alcohol (ipa) from a dilute aqueous solution.In a chemical plant with a network <strong>of</strong> interconnected units, the choice <strong>of</strong> whichmanipulated variable(s) to pair with which control variable(s) is a complicatedone. Often, the allocation <strong>of</strong> the set <strong>of</strong> control variables <strong>and</strong> corresponding manipulatedvariables is dictated by physical <strong>and</strong>/or operational constraints. In

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