Nonlinear MIMO (multiple input multiple output) system-based decoupling control method and device

A multiple-input multiple-output, decoupling control technology, applied in the field of decoupling control methods and devices, can solve problems such as inability to meet control accuracy and control effects
CN103399487AInactive Publication Date: 2013-11-20NORTHEAST GASOLINEEUM UNIV

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
NORTHEAST GASOLINEEUM UNIV
Publication Date
2013-11-20
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides a nonlinear MIMO (multiple input multiple output) system-based decoupling control method and a nonlinear multiple input multiple output system-based decoupling control device. The device comprises an input module, a neural network module, a neural network inverse module, a control module and a delay module, wherein an output signal of the neural network inverse module is input to the control module and the neural network module; when the control module and the neural network module have the same input signal, output signals of the control module and the neural network module are input into an output module; the output module generates a disturbing signal according to the output signals of the control module and the neural network module; and after being delayed, the disturbing signal is input into the neural network inverse module, and after being processed by the control module, the disturbing signal is input into the output module. By the method and the device, the speed and the stability of decoupling control on a nonlinear MIMO system are improved.
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Description

technical field

[0001] The invention relates to the technical field of power system control, in particular to a decoupling control method and device based on a nonlinear multiple-input multiple-output MIMO system. Background of the invention

[0002] In the actual industrial production process, especially in the power system, the control objects are unknown and time-varying. If they cannot be properly controlled, it will cause huge hidden dangers in terms of economic benefits and personal safety. threaten. Therefore, with the development of control theory, a variety of control methods and new control strategies are also flourishing: some are improved on the classic control methods; some are new methods that are immature in application; , which takes its essence and minimizes its disadvantages as a composite control scheme.

[0003] When controlling thermal objects, many control schemes have been tried, such as: PID control and parameter self-tuning, using neural network to...

Claims

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