Optimization Design of Double Donkey Head Pumping Unit Based on Artificial Fish Swarm Algorithm

The difference between the double donkey head beam pumping unit and the traditional beam pumping unit lies in the latter's utilization of a four-link transmission system with varying parameters, and the characteristics of multiple constraints should be considered when establishing the mathematical model to reduce energy consumption. Artificial fish swarm algorithm has global search ability. It simulates the behaviors of fish in the natural environment, such as foraging, clustering, rear-end pursuit and obstacle avoidance, and maps these behaviors into optimization strategies in the search space, so as to find the optimal solution of the objective function. In this paper, the rear donkey head surface of CYJS6-3-18HB double donkey head pumping unit is optimized and designed. The dynamics and energy consumption of the double donkey head pumping unit are studied by artificial fish school algorithm, and the final optimization results are compared with other optimization algorithms. The results show that the maximum net torque of the reducer decreases by 18.6% compared with the original data. Torque balance increased by 23%. It can be seen that the artificial fish swarm algorithm is effective for the energy saving and consumption reduction of the double donkey head pumping unit, and provides an effective reference for the optimization of the double donkey head pumping unit.