Publication | Closed Access
On the optimization of differential‐algebraic process systems
449
Citations
17
References
1987
Year
Numerical AnalysisMathematical ProgrammingAlgebraic EquationsEngineeringDifferential‐algebraic Process SystemsSystem OptimizationProcess ControlEquality ConstraintsSystems EngineeringConstrained OptimizationProcess Systems EngineeringProcess OptimizationResidual EquationsProcess CalculusDynamic OptimizationLinear Optimization
Optimization of systems of differential and algebraic equations is common in chemical engineering. The paper proposes a finite‑element collocation method that transforms differential equations into algebraic residual equations for optimization. The method formulates a nonlinear program that incorporates collocation residuals and adaptive knot placement as equality constraints, solves all constraints and decision variables simultaneously, and handles discontinuous controls via superelements, as illustrated on control and reactor examples.
Abstract Many chemical engineering problems require the optimization of systems of differential and algebraic equations. Here a method is presented based on finite‐element collocation, which converts differential equations to algebraic residual equations with unknown coefficients. A nonlinear program is then formulated, with residuals incorporated as equality constraints and coefficients as decision variables. Also, adaptive knot placement is used to minimize the approximation error, with necessary and sufficient conditions for optimal knot placement incorporated as additional equality constraints in the nonlinear program. All equality constraints are then solved simultaneously with the optimization problem, thus requiring only a single solution of the approximated model. Finally, problems with discontinuous control profiles can be treated by introducing an extra level of elements (superelements) as decisions in the optimization problem. This approach is demonstrated on a simple optimal control problem as well as a reactor optimization problem with steep temperature profiles and state variable constraints.
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