针对某大型养殖工船所装备的养殖水泵采用恒速运行会造成大量电能浪费和养殖成本增加的问题，设计了一种基于鲸鱼算法优化的养殖水泵模糊PID控制器。通过鲸鱼算法对模糊PID控制器中的量化因子和比例因子进行优化，使得控制器能够针对换水、投饲、清洗、水面泡沫排出的复杂多变工况，对养殖水泵的转速进行动态调节，从而实现海水流量的调节。仿真结果显示，与PID控制器和模糊PID控制器相比，超调量和稳态误差更小。调节时间相较PID控制器缩短了71.11%，相较模糊PID控制器缩短了44.29%，能够更好的满足养殖水泵的控制要求，又能够实现节能的目标。

Aiming at the problem that the constant speed operation of the aquaculture water pump equipped by a large aquaculture worker ship will cause a lot of power waste and increase the aquaculture cost, a Whale Optimization Algorithm (WOA) Fuzzy PID controller for the aquaculture water pump is designed. The whale algorithm is used to optimize the quantitative factor and scaling factor in the Fuzzy PID controller, which makes the controller can dynamically adjust the speed of the aquaculture pump for the complex and changeable conditions of water changing, feeding, cleaning, and surface foam discharge, so as to realize the regulation of seawater flow. Simulation results show that compared with the PID controller and Fuzzy PID controller, the overshoot and steady-state error are smaller. The adjustment time is shortened by 71.11% compared with the PID controller and 44.29% compared with the Fuzzy PID controller, which can better meet the control requirements of the aquaculture water pump and achieve the goal of energy saving.