基于GA,PSO和GWO算法为家禽舍的多循环活性干扰排斥控制和PID控制策略
Narjice Elghardouf1, Yassine Ennaciri1, Ahmed Elakkary1
1Systems Analysis, Information Processing, and Integrated Management Laboratory, Superior School of Technology of Salé, Mohammed V University in Rabat, Morocco.
Heliyon
|April 24, 2024
概括
优化肉生产需要精确的气候控制. 本研究介绍了先进的控制策略,如粒子群集优化与主动干扰拒绝控制 (PSO-ADRC),以有效地管理温度,湿度和气体,以改善家禽福利和性能.
科学领域:
- 农业工程 农业工程
- 控制系统工程 控制系统工程
- 动物科学动物科学
背景情况:
- 家禽生产优先考虑肉的健康,福利和表现.
- 有效的气候控制对于成功的畜牧管理至关重要.
- 之前的研究通常集中在控制温度,湿度或气体分别.
研究的目的:
- 开发和分析一个全面的控制系统,用于肉养殖场.
- 同时管理多个环境变量:温度,湿度,NH3,CO2,空气速度和差压.
- 为了比较不同控制策略和优化算法的有效性.
主要方法:
- 为多输入多输出 (MIMO) 系统设计和组合主动干扰拒绝控制 (ADRC) 和比例积分导数 (PID) 控制器.
- 使用遗传算法 (GA),粒子群优化 (PSO) 和灰狼优化 (GWO) 来调整控制器参数.
- 使用集成时间绝对误差 (ITAE) 作为优化奖励函数.
- 在Matlab Simulink中进行模拟,以评估在各种干扰下控制器的性能.
主要成果:
- 粒子优化-主动干扰拒绝控制 (PSO-ADRC) 显示出卓越的性能.
- PSO-ADRC在上升时间,超标和结算时间方面表现出显著的改进.
- 公共服务局-ADRC控制器在拒绝干扰和保持设定点方面表现出强大.
结论:
- 综合多环节控制方法,特别是PSO-ADRC,对于肉气候控制非常有效.
- 同时管理多个环境变量可以提高家禽生产效率和福利.
- 先进的优化算法对于调整农业中复杂的控制系统至关重要.
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