{"title":"Exact linearization and control of a mobile robot for the inspection of soil resources in <i>Solanum tuberosum</i> crops.","authors":"Álvaro Pulido-Aponte, Claudia L Garzón-Castro","doi":"10.3389/frobt.2024.1459902","DOIUrl":null,"url":null,"abstract":"<p><p>In recent years, the development of robots for agro-industrial applications, such as the cultivation of <i>Solanum tuberosum</i> potatoes, has aroused the interest of the academic and scientific communities. This is due, at least in part, to the complexity of modeling and robustly controlling some dynamics inherent to nonlinear behaviors normally attributed to the different technologies associated with the movement of these autonomous vehicles and their non-holonomic constraints. The different nonlinear dynamics of mobile robots are usually represented by state-space models. However, given some equilibrium and stability characteristics, the implementation of effective controllers for the robust parametric tracking and variation problem requires techniques that allow the operability of robots around regions of stable equilibrium. Feedback linearization control is one such technique that attempts to mathematically eliminate nonlinear expressions from the plant model. However, this technique requires an observable and controllable mathematical model. If there is some relationship between the model inputs and a controlled output that allows the relative degree of the control law to be determined, the controller design and implementation are posed as a linear issue. Flat filters developed from the generalized proportional integral control approach are an alternative that could facilitate the design of controllers for these linearized systems. From these flat filters, it is possible to obtain the transfer function of a controller without relying on the derivatives of the system output. This work proposes the design of a controller via exact linearization and its equivalent flat filter for a robot inspector of the soil resource of <i>S. tuberosum</i> crops in the department of Cundinamarca, Colombia. The actuator motion constraints resulted in a robot with two degrees of mobility and one non-holonomic constraint. Numerical validation of this system suggests that it can be an effective solution to the problem of tracking control at changing references by providing a system capable of navigating through crop rows. The results suggest correct tracking for linear and circular trajectories. However, the control lacks the ability to track spiral-type trajectories.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427237/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Robotics and AI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frobt.2024.1459902","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, the development of robots for agro-industrial applications, such as the cultivation of Solanum tuberosum potatoes, has aroused the interest of the academic and scientific communities. This is due, at least in part, to the complexity of modeling and robustly controlling some dynamics inherent to nonlinear behaviors normally attributed to the different technologies associated with the movement of these autonomous vehicles and their non-holonomic constraints. The different nonlinear dynamics of mobile robots are usually represented by state-space models. However, given some equilibrium and stability characteristics, the implementation of effective controllers for the robust parametric tracking and variation problem requires techniques that allow the operability of robots around regions of stable equilibrium. Feedback linearization control is one such technique that attempts to mathematically eliminate nonlinear expressions from the plant model. However, this technique requires an observable and controllable mathematical model. If there is some relationship between the model inputs and a controlled output that allows the relative degree of the control law to be determined, the controller design and implementation are posed as a linear issue. Flat filters developed from the generalized proportional integral control approach are an alternative that could facilitate the design of controllers for these linearized systems. From these flat filters, it is possible to obtain the transfer function of a controller without relying on the derivatives of the system output. This work proposes the design of a controller via exact linearization and its equivalent flat filter for a robot inspector of the soil resource of S. tuberosum crops in the department of Cundinamarca, Colombia. The actuator motion constraints resulted in a robot with two degrees of mobility and one non-holonomic constraint. Numerical validation of this system suggests that it can be an effective solution to the problem of tracking control at changing references by providing a system capable of navigating through crop rows. The results suggest correct tracking for linear and circular trajectories. However, the control lacks the ability to track spiral-type trajectories.
近年来,农用工业机器人的开发,如马铃薯种植,引起了学术界和科学界的兴趣。这至少部分归因于对非线性行为固有动态建模和稳健控制的复杂性,这些非线性行为通常归因于与这些自主车辆的运动及其非人体工学约束相关的不同技术。移动机器人的不同非线性动力学通常由状态空间模型表示。然而,考虑到一些平衡和稳定特性,要针对鲁棒参数跟踪和变化问题实施有效的控制器,就需要采用能使机器人在稳定平衡区域周围具有可操作性的技术。反馈线性化控制就是这样一种技术,它试图从数学上消除工厂模型中的非线性表达。不过,这种技术需要一个可观测和可控制的数学模型。如果模型输入和受控输出之间存在某种关系,从而可以确定控制规律的相对程度,那么控制器的设计和实施就是一个线性问题。根据广义比例积分控制方法开发的平滤波器是一种替代方法,可以促进这些线性化系统控制器的设计。通过这些平滤波器,可以获得控制器的传递函数,而无需依赖系统输出的导数。本研究通过精确线性化及其等效平滤波器,为哥伦比亚昆迪纳马卡省的 S. tuberosum 农作物土壤资源机器人检测器设计了一个控制器。执行器的运动限制导致机器人具有两个移动度和一个非人体工学限制。对该系统的数值验证表明,通过提供一个能够在作物行中导航的系统,它可以有效地解决在参考点不断变化的情况下进行跟踪控制的问题。结果表明,该系统能正确跟踪线性和圆形轨迹。然而,该控制系统缺乏跟踪螺旋型轨迹的能力。
期刊介绍:
Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.