Interval prediction control modeling and optimizing method based on soft constraints

A technology of predictive control and optimization method, which is applied in the direction of adaptive control, general control system, control/regulation system, etc., and can solve problems such as inability to realize real-time control, limited solution, large amount of calculation, and difficulty in application

Inactive Publication Date: 2014-08-20
YANSHAN UNIV
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Problems solved by technology

These algorithms require multiple iterative calculations when solving the control model, so the amount of calculation is very large, and the program is cumbersome and complicated to run, which makes it impossib

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  • Interval prediction control modeling and optimizing method based on soft constraints
  • Interval prediction control modeling and optimizing method based on soft constraints
  • Interval prediction control modeling and optimizing method based on soft constraints

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Embodiment Construction

[0047] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0048] Take the three-input and three-outlet system of the heavy oil fractionation tower of Shell Petroleum as an example. Process MV: u 1 Represents the extraction rate of the top product of the fractionator; u2 Represents the withdrawal rate of the fractionator side product; u 3 Represents the reflux heat load at the bottom of the fractionator. CV of the process: y 1 represents the extracted fraction of the overhead product of the fractionator; y 2 Represents the extracted component of the fractionator side product; y 3 Represents the reflux temperature at the bottom of the fractionator. Take the number of prediction steps as 20 and the number of control steps as 10.

[0049] 1. Construct the constraint item index J that restricts the oil extraction rate of the heavy oil fractionation tower 1

[0050] The CV interval constra...

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Abstract

Provided is an interval prediction control modeling and optimizing method based on soft constraints. The control method comprises the following steps: (1) a quadratic performance index including a constraint item, a control item and an economic item is established based on a process prediction model; (2) whether an overall optimization method is feasible is judged by solving a slack variable; (3) a method for solving a soft constraint slack variable when a control model output constraint is not feasible is provided, and adjustment of the range of a feasible region when an interval prediction control model output constraint is not feasible is realized; and (4) a boundary feasible sequence quadratic programming method is adopted to solve the problem that poor initial point selection causes calculation amount increase of the method or difficulty in finding an optimal solution, the problem that the positive definiteness of a Hessian matrix is destroyed due to the influence of round-off error in calculation, and the like, and to figure out the optimal control input. A complicated multivariable system control model can be established, the control law can be solved accurately and quickly based on soft constraint adjustment, and good control on a multivariable system can be achieved.

Description

technical field [0001] The invention belongs to the field of process control, in particular to a modeling and optimization method for interval predictive control based on soft constraints. Background technique [0002] In recent years, with the increasing scale of industrial process systems, increasingly tight energy supply, and rising energy prices, producers no longer only require control of a certain parameter or a certain performance of the production process, but according to Production requirements and human will put forward comprehensive performance index control such as economy and rapidity. However, due to environmental factors and the complexity of the system itself, there are many constraints in the actual system, so the common predictive control method is difficult to meet the control requirements. [0003] In the actual industrial control process, if the constraints of the system area are taken into account in the control objectives, the feasible set of the opt...

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Application Information

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IPC IPC(8): G05B13/04
Inventor 孙超郝晓辰周湛鹏姜迎刘彬韩辉刘浩然陈白
Owner YANSHAN UNIV
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