改进鲸鱼算法的超临界CO2萃取参数整定

doi:10.16180/j.cnki.issn1007-7820.2024.12.011

Abstract

Abstract:

In view of the different requirements of stability, accuracy and rapidity of different control systems in supercritical CO₂ extraction process, an improved whale optimization algorithm objective function is proposed for the parameter tuning of supercritical CO₂ extraction. According to the control target of the controlled system, the weight relationship of absolute integral identification, overshoot, residual difference and adjustment time is determined by analytic hierarchy process. The performance index of the control system is normalized by the three fold line method, and the objective function of the whale optimization algorithm is constructed. Taking the pressure and temperature of supercritical CO₂ extraction as the controlled objects, the improved whale optimization algorithm objective function and the traditional whale optimization algorithm objective function are used to tune the parameters. The simulation results show that the objective function of the improved whale optimization algorithm can ensure no overshoot in the pressure control system of supercritical CO₂ extraction. In the temperature control system of supercritical CO₂ extraction, the adjustment time is reduced by 30.17 s, and the tuning optimization of control parameters in the process of supercritical CO₂ extraction is realized.

Key words: whale optimization algorithm, analytic hierarchy process, objective function, supercritical CO₂ extraction, parameter tuning, step response, time delay, three fold line method

CLC Number:

TN081

CAO Menglong, LIU Duo, ZHU Zhaosen. Improved Whale Optimization Algorithm for Supercritical CO₂Extraction Parameter Tuning[J].Electronic Science and Technology, 2024, 37(12): 73-78.

Figures/Tables 10

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References 19

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标度	含义
1	X_i和X_j具有同等重要性
3	X_i比X_j稍微重要
5	X_i比X_j明显重要
7	X_i比X_j强烈重要
9	X_i比X_j极端重要
2、4、6、8	上述两相邻判断的中值
倒数	若X_ij的标度为b_ij,则X_ji的标度为1/b_ij

参数	X₁	X₂	X₃	X₄
X₁	1.00	0.14	0.33	0.20
X₂	7.00	1.00	2.00	3.00
X₃	3.00	0.50	1.00	0.50
X₄	5.00	0.33	2.00	1.00

参数	X₁	X₂	X₃	X₄
X₁	1.00	6.00	2.00	0.50
X₂	0.17	1.00	0.33	0.11
X₃	0.50	3.00	1.00	0.33
X₄	2.00	9.00	3.00	1.00

参数	i=1	i=2	i=3	i=4
a_i	600	0	0	0
b_i	12 000	10	10	600

Improved Whale Optimization Algorithm for Supercritical CO₂Extraction Parameter Tuning

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Improved Whale Optimization Algorithm for Supercritical CO2 Extraction Parameter Tuning

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Improved Whale Optimization Algorithm for Supercritical CO₂Extraction Parameter Tuning