Constraint-prioritized dynamic industrial process optimization system and method

Abstract

The invention relates to a constraint-prioritized dynamic industrial process optimization system, which consists of a field intelligent instrument connected with an industrial process object, a DCS system and an upper computer, wherein the upper computer comprises a constraint conversion module, an initialization module, a double-layered optimization module; the constraint conversion module is used to convert the control variable boundary constraint and the state variable final value constraint in the dynamic fixed boundary optimization problem; the initialization module is used to set initial parameters, discretize a decision vector z(t) and carry out initial assignment; the double-layered optimization module is used to look for decision vectors for optimizing the objective functions of the dynamic optimization problem, and adopts inner-layer optimization and outer-layer optimization for solution, the inner-layer optimization looks for the decision vector z1(t) optimizing the objective function J1, the outer-layer optimization: looking for the decision vector z2(t) optimizing the objective function J2, and an optimal result obtained by the double-layered optimization is stored. The invention also provides a constraint-prioritized dynamic industrial process optimization method. The invention can accurately and quickly find optimal solution for the fixed boundary problem, and has high stability and high applicability.

Description

technical field [0001] The invention relates to the field of optimal control, in particular to a constraint-priority industrial process dynamic optimization system. Background technique [0002] With the continuous improvement of modern industrial production process requirements, nonlinear, uncertain, high-dimensional and other dynamic characteristics problems have increasingly become the bottleneck for enterprises to increase production and reduce energy consumption. The use of dynamic optimization method to solve the bottleneck problem in industrial process optimization control and tap the potential to increase efficiency has been paid more and more attention by domestic and foreign academic and industrial circles. [0003] Dynamic optimization problems of industrial processes often have fixed boundary value constraints on state variables, such as restrictions on valves, reactor capacity, pressure, and mole fraction. Therefore, the fixed boundary value problem is the key ...

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Problems solved by technology

[0005] In order to overcome the shortcomings of the traditional penalty function method when dealing with dynamic optimization problems with fixed boundary values, such as ill-conditioned phenomena, inaccurate calculations, and low solution efficiency, the present invention provides a method that can accurately and quickly find the optimal solution for fixed boundary value problems. An industrial process dynamic optimization system and method with optimal solution, high stability and wide applicability constraints priority

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