用顶点系统模型和增益调度用于准LPV系统的基于多重组的纳入模型预测控制.
Rangoli Singh1, Sandip Ghosh1, Devender Singh1
1Department of Electrical Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India.
ISA transactions
|June 13, 2025
概括
为准线性参数变化 (准LPV) 系统引入了一个新的模型预测控制 (MPC) 策略. 这种先进的准LPV-MPC可以提高动态系统的控制精度和适应性.
科学领域:
- 控制系统工程 控制系统工程
- 自动化和机器人技术
背景情况:
- 准线性参数变化 (LPV) 系统由于其可测量的时间变化的参数而存在挑战.
- 传统的模型预测控制 (MPC) 方法可能会与准LPV系统的动态性质作斗争.
研究的目的:
- 开发和验证一种专门为准LPV系统设计的新型模型预测控制 (MPC) 策略.
- 与现有的MPC方法相比,提高控制精度,适应性和系统响应性.
主要方法:
- 拟议的控制器使用了多重体表示和准LPV系统的增益调度控制器.
- 一个取决于调度参数的终端成本和一个补充成本函数被用来放松预测地平线更新.
- 该策略在模拟 (双转子多输入多输出系统) 和实验 (级联合坦克系统) 平台上实施和测试.
主要成果:
- 准LPV-MPC战略表明,与传统的MPC计划相比,控制性能得到了改善.
- 实验验证证证实了拟议的控制器的实际有效性.
- 相对评估显示,与线性和非线性MPC相比,控制精度,适应性和响应性都更高.
结论:
- 开发的准LPV-MPC是控制准LPV系统的有效解决方案.
- 该方法提供了增强的性能指标,包括精度和适应性.
- 控制器的实际应用性通过实验和模拟研究来验证.
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