A Cyclone Separator Structural Parameter Tuning Method Based on Gaussian Random Walk Whale Algorithm

Abstract

The invention discloses a cyclone separator structure parameter setting method based on a Gaussian random whale algorithm. The cyclone separator structure parameter setting method comprises the following steps: 1, selecting a cyclone separator model fitness function; 2, initializing whale optimization algorithm basic parameters; 3, calculating the fitness value of each individual, and recording the position of the contemporary globally optimal individual; 4, adopting a Gaussian random walk mechanism; 5, checking whether position updating crosses the boundary or not; 6, updating a global optimal solution; 7, judging whether the number of iterations is reached or not; and 8, determining structure setting parameters of the optimized cyclone separator. Aiming at the problems existing in cyclone separator structure parameter setting, the invention provides an optimized structure parameter model based on an intelligent algorithm, and an intelligent control algorithm is added into a cyclone separator design system to replace a conventional parameter debugging step, so that the time cost is saved. The cyclone separator is beneficial to the structural design of the cyclone separator, and meanwhile, the separation performance and effect are also improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent control, and in particular relates to a method for setting structural parameters of a cyclone separator based on a whale algorithm of a Gaussian random walk mechanism. Background technique [0002] The cyclone separator is one of the commonly used industrial separation equipment, and it is widely used in the gas-solid two-phase separation in the chemical industry. The cyclone separator uses the centrifugal force generated by the airflow flowing in the spiral shell, so that the solid particles are concentrated on the wall and then discharged by gravity and airflow. Compared with filtration and wet scrubbers, cyclone separators have a simple structure, lack of moving parts, easy maintenance, low operating costs, high reliability, and high collection efficiency. It is a practical, efficient and economical method of fine dust collection, and it can work even in harsh operating environments. [0...

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Problems solved by technology

[0005] In order to solve the problem of low search accuracy of the optimization method of the structural parameters of the above-mentioned cyclone separator, the present invention provides a method for setting the structural parameters of the cyclone separator based on the Gaussian random walk whale algorithm, by introducing the Gaussian random walk mechanism on the basic whale algorithm , improve the search accuracy of the algorithm, enhance the ability to jump out of the local optimal solution, and facilitate the exploration and development of the whale optimization algorithm to achieve a stable balance. sex

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