Optimizing control of technological processes within a multilayer structre is considered, for the case with important constraints on certain process outputs. A multilayer structure with an additional feedback follow-u...
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Optimizing control of technological processes within a multilayer structre is considered, for the case with important constraints on certain process outputs. A multilayer structure with an additional feedback follow-up controller responsible for keeping the output constraints satisfied both in steady states and during transient processes, in spite of inaccurate models used by optimizing control algorithms, is introduced. A new formulation of the Integrated System Optimization and Parameter Estimation (ISOPE) method, suitable for the structure, is derived. Implementation aspects are then discussed and simulation results for a distillation column example process are given
The paper proposes a systematic and technical approach to multilayer decomposition using a mathematical model of the process in a state space form. Optimizing and follow-up control layers are discussed. Sufficient con...
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The paper proposes a systematic and technical approach to multilayer decomposition using a mathematical model of the process in a state space form. Optimizing and follow-up control layers are discussed. Sufficient conditions allowing the decomposition are shown. The follow-up control layer consisting of two subsystems is introduced. The task of the first one, called an actuating controller, is to implement values for decision variables into the process, while the second one keeps the process within a feasible area. The latter is a mixture of feedforward and feedback activities. The feedforward mechanism is introduced to overcome process delays when implementing optimal operating points. The optimizing control layer emerges as a static optimization control imbedded into an iterative information feedback structure, needed to overcome model- reality differences. Possible formulations of the control task for a distillation column are shown as an example.
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