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Model identification-based fuzzy PID control method and device

A technology of model identification and control methods, which is applied to controllers with specific characteristics, electric controllers, etc., and can solve problems such as large-scale changes in control models and inability to effectively control

Active Publication Date: 2018-11-16
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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Problems solved by technology

[0004] This application provides a fuzzy PID control method and device based on model identification, which has solved the problem that the existing technology has a large range of changes in the control model parameters or the control model with nonlinear characteristics cannot be effectively controlled, and the method provided by the application And the device makes the control system significantly improved in terms of stability, rapidity and accuracy, and improves the dynamic quality of the control system

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  • Model identification-based fuzzy PID control method and device
  • Model identification-based fuzzy PID control method and device
  • Model identification-based fuzzy PID control method and device

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Embodiment Construction

[0070] see figure 1 , a flow chart of a fuzzy PID control method based on model identification provided by the present application;

[0071] Depend on figure 1 It can be seen that the embodiment of the present application provides a fuzzy PID control method based on model identification, which specifically includes:

[0072] S10: Acquiring input parameters; in this embodiment, the acquired input parameters mainly include deviation e and deviation change rate ec, wherein the deviation e can be obtained by actual measurement, and the deviation change rate ec can be obtained by de / dc;

[0073] S20: Perform variable domain control according to the input parameters to obtain the self-adjusting control parameter Δk p , Δk i , Δk d ;

[0074] see figure 2 , which is a sub-step schematic diagram of step S20 in a fuzzy PID control method based on model identification provided by the present application;

[0075] Specifically, step S20 includes the following steps:

[0076] S21...

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Abstract

The present invention discloses a model identification-based fuzzy PID control method and device. The method includes the following steps that: input parameters are acquired; variable universe controlis performed according to the input parameters, so that self-adjusting control parameters deltakp, deltaki and deltakd are obtained; identified control model parameters are acquired; the identified control model parameters are parameterized, and control parameters are outputted; the control parameters are optimized, and basic control parameters kp0, ki0 and kd0 are outputted; and superposition operation is performed on the self-adjusting control parameters deltakp, deltaki and deltakd, and the basic control parameters kp0, ki0 and kd0, so that real-time PID parameters kp, ki and kd are obtained. According to the method and device provided by the present invention, a model identification module is introduced based on an existing fuzzy PID control, and therefore, it can be ensured that themodel identification algorithm can effectively accomplish identification, the stability, rapidity and accuracy of a control system are obviously improved, and the dynamic quality of the control systemis improved.

Description

technical field [0001] The present application relates to the technical field of automatic control, in particular to a fuzzy PID control method and device based on model identification, which is suitable for controlling objects whose model parameters vary in a large range. Background technique [0002] In the field of process control, there are often some nonlinear, large inertia, and constantly changing control objects. For such control objects, if the conventional PID control algorithm is used, the control effect obtained is generally not ideal. According to the characteristics of the control object, the fuzzy PID control algorithm is commonly used in recent years. It takes the error e and the error change rate ec as input, uses fuzzy rules to perform fuzzy reasoning, and queries the fuzzy matrix table to adjust parameters to meet the needs of different times. e and ec are requirements for PID parameter self-tuning. [0003] The design idea of ​​the existing fuzzy PID con...

Claims

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Application Information

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IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 郑欣刘容海焦宗寒杨宇玲郭新良杨迎春
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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