重新审视经典控制器设计和调整与遗传编程
Carlos A García1, Manel Velasco1, Cecilio Angulo2
1Power and Control Electronics Systems, Universitat Politècnica de Catalunya, 08800 Vilanova i la Geltrú, Spain.
Sensors (Basel, Switzerland)
|December 23, 2023
概括
本研究介绍了一种用于自动化过程控制器设计的新型遗传编程 (GP) 方法. 这种人工智能方法通过在时间领域运行来简化控制器的创建,增强实际应用.
科学领域:
- 控制工程 控制工程 控制工程
- 人工智能的人工智能
- 计算智能是一种计算智能.
背景情况:
- 传统的控制器设计通常涉及复杂的数学转换.
- 自动化工艺控制器的设计和调整仍然是控制工程的一个重大挑战.
研究的目的:
- 引入和评估基于基因编程 (GP) 的方法,用于自动化过程控制器设计和调整.
- 展示一种新的方法,它只在时间域内运行,避免逆拉普拉斯变换.
主要方法:
- 该研究采用基因编程 (GP) 具有扩展的功能集,包括三角函数,指数函数和对数函数.
- 基于GP的方法将微分运算 (导数,积分) 直接纳入时间域.
- 进行了广泛的测试,以评估拟议的GP方法的功能和局限性.
主要成果:
- 基于GP的方法成功自动化了工艺控制器的设计和调整.
- 在时间域中运行简化了设计过程,并确保了实际的可执行性.
- 该方法表现出灵活性和适应性,这是由于丰富的数学运算.
结论:
- 基于遗传编程的方法为自动控制器设计提供了一个有希望和变革性的解决方案.
- 这种人工智能驱动的方法可以解决各种工程应用中的各种控制问题.
- 该技术代表了应用人工智能来控制工程挑战的重大进步.
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