2020Unpublished venueRequires access

Simulation Studies of Chemical Process Applications

Aditya Kumar, Pródromos Daoutidis

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Abstract

In this chapter, the authors study, through simulations, the control of several chemical process applications that are modeled by high-index DAEs. While these processes can also be modeled by index-one DAEs or ODEs by appropriately modifying the modeling assumptions, they illustrate the limitations of controllers designed on the basis of such models. In the first example, the authors illustrate the problem of controller ill-conditioning, where the control action evaluated by the controller designed on the basis of the rate-based ODE model is highly sensitive to small modeling errors. The second example illustrates the problem of closed-loop instability for slightly nonminimum phase systems, where the zero dynamics of the process is also a two-time-scale system with the fast subsystem being unstable.

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What this paper is about

In this chapter, the authors study, through simulations, the control of several chemical process applications that are modeled by high-index DAEs. While these processes can also be modeled by index-one DAEs or ODEs by appropriately modifying the modeling assumptions, they illustrate the limitations of controllers designed on the basis of such models. In the first example, the authors illustrate the problem of controller ill-conditioning, where the control action evaluated by the controller designed on the basis of the rate-based ODE model is highly sensitive to small modeling errors. The second example illustrates the problem of closed-loop instability for slightly nonminimum phase systems, where the zero dynamics of the process is also a two-time-scale system with the fast subsystem being unstable.

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Available abstract

In this chapter, the authors study, through simulations, the control of several chemical process applications that are modeled by high-index DAEs. While these processes can also be modeled by index-one DAEs or ODEs by appropriately modifying the modeling assumptions, they illustrate the limitations of controllers designed on the basis of such models. In the first example, the authors illustrate the problem of controller ill-conditioning, where the control action evaluated by the controller designed on the basis of the rate-based ODE model is highly sensitive to small modeling errors. The second example illustrates the problem of closed-loop instability for slightly nonminimum phase systems, where the zero dynamics of the process is also a two-time-scale system with the fast subsystem being unstable.

Key concepts: Process (computing), Computer science, Process engineering, Engineering, Programming language

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