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Fuzzy PID (Proportion Integration Differentiation) controller based on genetic algorithm and control method thereof

A genetic algorithm and fuzzy control technology, applied in the field of fuzzy PID controller and its control, can solve the problems of large, in-out and out, and achieve the effect of improving dynamic and static performance

Inactive Publication Date: 2013-03-13
SHANGHAI DIANJI UNIV
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Problems solved by technology

[0004] However, in general fuzzy control systems, the rules of fuzzy control basically come from the expertise of experts and technicians in the control field, which has considerable human subjectivity. For the actual control system of random disturbance, these control rules cannot be said to be completely accurate, and sometimes there may even be large discrepancies, and the selection of its membership function is similar to the above situation

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  • Fuzzy PID (Proportion Integration Differentiation) controller based on genetic algorithm and control method thereof
  • Fuzzy PID (Proportion Integration Differentiation) controller based on genetic algorithm and control method thereof
  • Fuzzy PID (Proportion Integration Differentiation) controller based on genetic algorithm and control method thereof

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[0031] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0032] figure 1 It is a system architecture diagram of a fuzzy PID controller based on genetic algorithm in the present invention. Such as figure 1 As shown, the present invention is a fuzzy PID controller based on genetic algorithm, which at least includes: PID controller 10 , fuzzy control module 11 and genetic algorithm optimization module 12 .

[0033] Among them, the fuzzy control mo...

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Abstract

The invention discloses a fuzzy PID (Proportion Integration Differentiation) controller based on genetic algorithm and a control method thereof. The control method comprises the following steps in sequence: controlling a controlled object by a fuzzy control algorithm; dynamically generating three parameters of the PID controller in an online manner; selecting a proper fitness function by virtue of the genetic algorithm; searching based on the fitness function of each individual in the population; increasing the speed of convergence of the genetic algorithm; calculating to obtain the optimal solution; and further optimizing three basic parameters output in the fuzzy control. By adopting the control method, dynamic and static performances of a control system can be improved while the accuracy in control detection is ensured.

Description

technical field [0001] The present invention relates to a PID controller and its control method, in particular to a genetic algorithm-based fuzzy PID controller and its control method. Background technique [0002] The PID (proportional-integral-derivative) controller has been the earliest practical controller for more than 70 years, and it is still the most widely used industrial controller. The PID controller is easy to understand and does not require accurate system models, etc. Prerequisites, thus becoming the most widely used controller. [0003] At present, the most widely used in practical application is conventional PID control strategy. Its principle is simple and its stability is good. However, since the three basic parameters in conventional PID control, proportional, integral, and differential, cannot be changed once they are set, so for Systems with strong nonlinearity or strong unknown disturbances will not be well controlled. Because fuzzy control can effect...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B11/42
Inventor 王海军
Owner SHANGHAI DIANJI UNIV
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