Optimization control method and apparatus of refining apparatus coupling unit

Abstract

The invention discloses an optimization control method and apparatus of a refining apparatus coupling unit. The method comprises the following steps: obtaining a closed-loop dynamic feedback decoupling compensator D(s) paired based on a relative gain matrix loop, decoupling a controlled object G(s), and converting the G(s) into a generalized object G(s)<^>; designing an inner-mold controller C(s) for the generalized object G(s)<^>; calculating a fuzzy input amount, a process output and process model output deviation e(t) and a deviation change rate e(t)<.>; determining a fuzzy rule, and obtaining a fuzzy relation between an inner-mold controller parameter and e(t) and e(t)<.>; correcting the value of a controller parameter lambda i in an online mode through performing analyzing, processing, table-querying and operation on the fuzzy rule according to the following formula: lambda i= lambda i0+{Ei,ECi}lambda i, wherein lambda i0 is an initial value set for the filter time constant lambda i according to an identification result of an object model parameter and operation experience, and {Ei,ECi} lambda i represents online correction on the lambda i after fuzzy logic reasoning calculation. The method can realize full-flow automatic control of a controlled system and further inhibit interference better.

Description

technical field [0001] The invention relates to the field of control technology, in particular to an optimization control method and device for a coupling unit of a refining and chemical device. Background technique [0002] At present, there are more than 1,000 sets of oil refining and chemical production equipment in the country. Due to the complex reaction in the chemical process, in the production site of oil refining and chemical industry, there are low self-control rate, poor effect of the control loop put into automatic operation, high labor intensity of equipment operators, and equipment failure. Problems such as unstable operation. In response to these problems, many researchers have carried out various researches from different aspects, and attributed the problems to "large time lag", "non-linearity", "complex objects", "frequent interference", "PID controller is not easy to use", etc. In many ways, and numerous solutions have been proposed, but the widespread pro...

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Problems solved by technology

However, the accuracy of fuzzy control is limited by empirical rules and quantization levels. In addition, for ordinary fuzzy control, it is similar to the proportional differential control method, which is prone to non-zero steady-state errors, so it belongs to differential regulation.

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