Quantitative setting method for distributed PI and PID controller with chemical industrial double input and output

An output process, dual-input technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of cumbersome, inconvenient adjustment and setting, and low adjustment level of control system
CN1645276AInactive Publication Date: 2005-07-27SHANGHAI JIAO TONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI JIAO TONG UNIV
Publication Date
2005-07-27
Estimated Expiration
Not applicable · inactive patent

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Abstract

A quantitative adjusting method includes designing expected response transfer function form and its dynamic demodulation factor form for two distributed control closed loops according to transfer function matrix model, deriving out two ideal expection distributed closed-loop controllers form, obtaining realization form of rational approximation by expansion series of Maclaurin and taking the first two items of expansion series to form distributed PI controller and taking the first three to form PID controller.
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Description

technical field

[0001] The invention relates to a method used in the technical field of industrial process control, in particular to a quantitative tuning method for a distributed PI and PID controller in a chemical industry dual-input-output process. Background technique

[0002] Dual-input-output process is the most common multi-variable process in chemical production, and in order to facilitate operation and control, many high-dimensional multi-variable processes are usually decomposed into several dual-input-output subsystems for processing in practice. Decentralized control structure, also known as multiloop control structure, is widely used in chemical industry due to its advantages of simple structure, low cost and strong independent workability of each closed loop. However, the stability of this control structure is easily damaged by the uncertainty of the actual controlled process, so the tuning and adjustment requirements for the two closed-loop PI (proportional-in...

Claims

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