基于模糊增益调度的先进嵌入式广义预测控制器，用于具有死区非线性的农用喷雾器

IF 3.3 2区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of Process Control Pub Date : 2024-01-23 DOI:10.1016/j.jprocont.2024.103164

Deniver R. Schutz , Heitor V. Mercaldi , Elmer A.G. Peñaloza , Lucas J.R. Silva , Vilma A. Oliveira , Paulo E. Cruvinel

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引用次数: 0

摘要

在农业中变速施用杀虫剂可以改善害虫控制，提高粮食产量。然而，不正确的喷洒会给环境和人类健康带来风险，还可能增加总生产成本。如今，众所周知，创新技术和工艺对于改进病虫害控制中的变速喷洒过程非常重要。本研究提出了一种应对非线性问题的广义预测控制（GPC）策略。此外，还对无限视野下的受约束 GPC 控制器的稳定性分析进行了扩展，从而保证了模糊 GPC 在其调整参数 λ 和 δ 变化有限的情况下的稳定性。结果表明，增加一个模糊逻辑系统对处理非线性问题非常有用，从而产生了一种先进的模糊 GPC 概念，其调整参数变化有限。

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Advanced embedded generalized predictive controller based on fuzzy gain scheduling for agricultural sprayers with dead zone nonlinearities

Variable rate application of pesticides in agriculture can improve pest control and also increase food production. Nevertheless, incorrect spraying poses risks to the environment and human health, as well as may increase the total cost of production. Nowadays, it is quite known the importance of innovation in techniques and technologies to improve the spraying process in a variable rate application for pest control. This work presents a generalized predictive control (GPC) strategy to cope with nonlinearities. An extension of the stability analysis for constrained GPC controller for infinite horizons is also developed, which guarantees the stability of a fuzzy GPC for a limited variation of its tuning parameters $λ$ and $δ$ . Results show the usefulness in adding a fuzzy logic system, to cope with nonlinearities, leading to a conception of an advanced fuzzy GPC for a limited variation of its tuning parameters.

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来源期刊

Journal of Process Control 工程技术-工程：化工

CiteScore

7.00

自引率

11.90%

发文量

159

审稿时长

74 days

期刊介绍： This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.