PID parameter optimization method based on self-adaptive genetic algorithm

A genetic algorithm and optimization method technology, applied in the field of automatic control algorithm of dissolved oxygen content in aquaculture, can solve problems such as being easily trapped in local optimum

Inactive Publication Date: 2018-02-16
CHANGZHOU UNIV
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Problems solved by technology

However, the biggest disadvantage of these algorithms is that they are easy to fall into local optimum, while the genetic algorithm has a strong global optimization ability, so it is more reasonable to apply it here.

Method used

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  • PID parameter optimization method based on self-adaptive genetic algorithm
  • PID parameter optimization method based on self-adaptive genetic algorithm
  • PID parameter optimization method based on self-adaptive genetic algorithm

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with accompanying drawings and examples.

[0027] (1) against K P 、K I 、K D encode

[0028] here for K P 、K I 、K D The encoding of the method adopts binary encoding and multi-parameter connection mode, and the three parameters are represented by 10-digit binary codes, and the three parameters are concatenated together in turn to form a solution string, that is, the individual, and the length of the string is 30.

[0029] Set parameter K P ∈[P min ,P max ], where P min , P max for K P The upper and lower limits of K P a value of P i ,

[0030] Its corresponding binary value X i for:

[0031]

[0032] Where L is the length of the binary code. Similarly, for K I 、K D are processed in a similar manner.

[0033] (2) Design of adaptive function

[0034] The design of the fitness function should avoid submerging other individuals due to the excessive fitness of a few individuals with b...

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Abstract

The invention relates to a PID parameter optimization method based on an adaptive genetic algorithm in a PID control algorithm for dissolved oxygen content in aquaculture. Firstly, the encoding of KP, KI, KD adopts binary encoding and multi-parameter connection mode, and the three parameters are represented by 10-bit binary code, and the three parameters are serially connected together to form a solution string. Then the design of the adaptation function should be carried out. The design of the adaptation function should compromise the feedback deviation e(t) formed by the optimal prediction, the rate of change of the deviation and the control amount u(t). The selection, crossover and mutation algorithms in the genetic operator all adopt the genetic operation strategy that introduces the adaptive mechanism, that is, adaptive selection, adaptive crossover and adaptive mutation. The final output result is the KP, KI, KD values ​​corresponding to the individual; otherwise, a new round of selection, crossover and mutation genetic operations are required.

Description

technical field [0001] The invention relates to an automatic control algorithm of dissolved oxygen content in aquaculture, especially the parameter optimization problem therein. Background technique [0002] In the development of automatic control of the production process, the control method based on the proportional (P-Proportional), integral (I-Integral) and differential (D-Derivative) linear combination-PID control method has a long history and the strongest vitality. basic control method. The regulator designed according to PID control is the most mature technology and the most widely used regulator in the continuous system. Before the 1940s, except for switch control in the simplest case, PID was the only control method. Later, with the development of science and technology, especially the birth and development of electronic computers, many new control methods emerged. . However, until now, PID control is still the most widely used basic control method due to its ow...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04G06N3/12
CPCG05B13/042G06N3/126
Inventor 史兵吉高峰苗乃明
Owner CHANGZHOU UNIV
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