在乙醇发酵中使用PSO-PID控制器进行先进的温度控制,并采用分割范围控制策略
Raju Yerolla1, Suhailam P1, Chandra Shekar Besta1
1Department of Chemical Engineering, National Institute of Technology, Calicut, India.
Preparative biochemistry & biotechnology
|August 3, 2024
概括
开发了一种新型的粒子集群优化-比例积分导数 (PSO-PID) 控制器,用于精确调节乙醇发酵中的温度. 这种先进的系统显著提高了可再生能源生产中的控制精度和执行器效率.
科学领域:
- 生物化学工程 生物化学工程
- 过程控制 过程控制
- 可再生能源系统可再生能源系统
背景情况:
- 全球能源需求不断增长,需要有效的可再生能源解决方案,其中乙醇生产是关键领域.
- 保持最佳温度对于生物乙醇生产中的高效发酵过程至关重要.
- 现有的温度控制方法可能缺乏先进发酵系统所需的精度.
研究的目的:
- 提出和评估一个粒子集群优化-比例积分导数 (PSO-PID) 控制器,用于乙醇发酵中的温度调节.
- 实施分隔范围控制策略,以使用热冷公用事业来加强温度管理.
- 根据系统动态和工厂数据验证控制器的性能.
主要方法:
- 模拟乙醇发酵系统作为连续动反应堆 (CSTR) 使用修改的单极方程.
- 分析对温度和度干扰的开放循环动态反应.
- 在稳定状态操作点开发了线性转移函数模型.
- 优化PSO-PID控制器参数使用粒子集群优化 (PSO) 进行分割范围配置.
主要成果:
- 采用分割范围策略的PSO-PID控制器在非线性发酵模型的模拟中证明了有效的温度控制.
- 开发的模型与植物数据进行了验证,证实了它在表示动态行为方面的准确性.
- 拟议的控制方法表现出优越的闭环性能,与其他报告的技术相比,显示出更少的错误.
结论:
- 采用分距离方法的PSO-PID控制器为乙醇发酵中的精确温度控制提供了强大而有效的解决方案.
- 这种方法通过改进过程控制来提高可再生能源生产的效率和可靠性.
- 经过验证的模拟模型和控制策略为优化工业发酵过程提供了宝贵的框架.
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