对于有边界干扰的线性系统,强大的脱MPC
Rodrigo Galvão de Souza Câmara1, Tito Luís Maia Santos1
1Departamento de Engenharia Elétrica e de Computação, Universidade Federal da Bahia, Escola Politécnica, Rua Aristides Novis, 02, Federação, Brazil.
ISA transactions
|May 29, 2023
概括
本研究介绍了一种强大的脱模型预测控制器 (MPC),用于面临干扰的线性系统. 该方法确保可靠的约束满足,并减少交叉合,以提高系统性能.
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
- 应用数学 应用数学 应用数学
背景情况:
- 有限制的线性系统容易受到边界干扰的影响,影响性能和稳定性.
- 传统的脱方法可能会在递归可行性和强大的约束满足方面扎.
- 在存在不确定性的情况下,精确追踪逐块常数引用仍然是一个挑战.
研究的目的:
- 开发一个强大的脱模型预测控制器 (MPC) 用于有边界干扰的受约束线性系统.
- 为了确保递归可行性,强大的约束满足,并尽量减少在设定点变化期间的交叉合.
- 为了实现零碎常量引用的无偏移跟踪.
主要方法:
- 显式解器与增强状态空间表示的集成.
- 应用一个强大的MPC算法,适用于零碎的恒定参考跟踪.
- 使用基于名义预测的人工目标进行无偏移跟踪.
主要成果:
- 在有界干扰下证明了递归可行性和强大的约束满足.
- 在设定点过渡期间,交叉合效应的显著减少.
- 通过案例研究验证的零碎常量引用的有效无偏移跟踪.
结论:
- 拟议的强有力的脱MPC战略有效地解决了线性系统中的约束和干扰.
- 该方法在选择脱器和强大的MPC算法方面提供了灵活性.
- 该方法为设定点变化和参考跟踪应用提供了可靠的解决方案.
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