{"title":"Type synthesis of 6-DOF mobile parallel link mechanisms based on screw theory","authors":"Siying Long, Tatsuro Terakawa, M. Komori","doi":"10.1299/jamdsm.2022jamdsm0005","DOIUrl":null,"url":null,"abstract":"Comparing with serial robots, parallel mechanisms have the advantages of higher accuracy, rigidity, velocity, and payload-to-weight ratio (Furqan et al., 2017), so that they are widely used in a wide variety of fields, including medicine, machining, and factory automation. However, one of the main drawbacks of parallel mechanisms is their limited workspace. To solve this problem, various researchers have tried to maximize their available workspace by addressing the nonlinear and complex input-output relationships of those mechanisms. Carretero et al. (2000) applied the quasi-Newton with Hessian update method to find the optimal structural parameters for maximizing workspace volume. Lou et al. (2005) employed a controlled random search method to maximize the effective regular workspace. Hosseini et al. (2011) divided Jacobian entries by units of length to produce a homogeneous twist array for the convenience of workspace optimization. Herrero et al. (2005) proposed a combined geometrical and discretization method for obtaining the most useful workspace containing the largest geometric volume. Che et al. (2020) employed the differential evolution algorithm to solve design problems related to maximizing the effective volume of transmission positional workspace. Shin et al. (2011) applied the Taguchi method to choose the most influential parameters in the optimization of workspace. However, from a macroscopic perspective, the fixed base of a parallel mechanism still physically limits its available workspace. With this issue in mind, several researchers suggested changing the fixed base into moveable bases in order to achieve unlimited workspace, and two types of moveable parallel mechanism types have been proposed. One is a parallel mechanism fixed on a wheeled mobile robot, as shown in Fig. 1(a) (Chong et al., 2020; Fujita and Sugawara, 2014; Moosavian et al., 2009; Yamamoto and Yun, 1996). This type achieves unlimited workspace because the position and orientation of the base on the ground can be changed by moving the mobile robot. In this type, the output platform Type synthesis of 6-DOF mobile parallel link mechanisms based on screw theory","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Mechanical Design Systems and Manufacturing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1299/jamdsm.2022jamdsm0005","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 2
Abstract
Comparing with serial robots, parallel mechanisms have the advantages of higher accuracy, rigidity, velocity, and payload-to-weight ratio (Furqan et al., 2017), so that they are widely used in a wide variety of fields, including medicine, machining, and factory automation. However, one of the main drawbacks of parallel mechanisms is their limited workspace. To solve this problem, various researchers have tried to maximize their available workspace by addressing the nonlinear and complex input-output relationships of those mechanisms. Carretero et al. (2000) applied the quasi-Newton with Hessian update method to find the optimal structural parameters for maximizing workspace volume. Lou et al. (2005) employed a controlled random search method to maximize the effective regular workspace. Hosseini et al. (2011) divided Jacobian entries by units of length to produce a homogeneous twist array for the convenience of workspace optimization. Herrero et al. (2005) proposed a combined geometrical and discretization method for obtaining the most useful workspace containing the largest geometric volume. Che et al. (2020) employed the differential evolution algorithm to solve design problems related to maximizing the effective volume of transmission positional workspace. Shin et al. (2011) applied the Taguchi method to choose the most influential parameters in the optimization of workspace. However, from a macroscopic perspective, the fixed base of a parallel mechanism still physically limits its available workspace. With this issue in mind, several researchers suggested changing the fixed base into moveable bases in order to achieve unlimited workspace, and two types of moveable parallel mechanism types have been proposed. One is a parallel mechanism fixed on a wheeled mobile robot, as shown in Fig. 1(a) (Chong et al., 2020; Fujita and Sugawara, 2014; Moosavian et al., 2009; Yamamoto and Yun, 1996). This type achieves unlimited workspace because the position and orientation of the base on the ground can be changed by moving the mobile robot. In this type, the output platform Type synthesis of 6-DOF mobile parallel link mechanisms based on screw theory
与串联机器人相比,并联机构具有更高的精度、刚度、速度和有效载荷重量比等优点(Furqan et al., 2017),因此它们被广泛应用于各种领域,包括医学、机械加工和工厂自动化。然而,并行机制的主要缺点之一是其有限的工作空间。为了解决这一问题,各种研究人员试图通过解决这些机构的非线性和复杂的输入输出关系来最大化他们的可用工作空间。Carretero et al.(2000)采用准牛顿与Hessian更新方法寻找工作空间体积最大化的最优结构参数。Lou et al.(2005)采用受控随机搜索方法最大化有效的常规工作空间。Hosseini et al.(2011)将雅可比矩阵项除以长度单位,得到了一个均匀的扭转数组,方便了工作空间的优化。Herrero et al.(2005)提出了一种结合几何和离散化的方法来获得包含最大几何体积的最有用的工作空间。Che et al.(2020)采用差分进化算法解决传动位置工作空间有效体积最大化的设计问题。Shin et al.(2011)采用田口法选择最具影响力的工作空间优化参数。然而,从宏观角度看,并联机构的固定基座在物理上仍然限制了其可用的工作空间。考虑到这个问题,一些研究人员建议将固定基座改为可移动基座,以实现无限的工作空间,并提出了两种可移动并联机构类型。一种是固定在轮式移动机器人上的并联机构,如图1(a)所示(Chong et al., 2020;藤田和Sugawara, 2014;Moosavian et al., 2009;Yamamoto and Yun, 1996)。这种类型实现了无限的工作空间,因为基座在地面上的位置和方向可以通过移动机器人来改变。在此类型中,输出平台型综合了基于螺杆理论的6自由度移动并联连杆机构
期刊介绍:
The Journal of Advanced Mechanical Design, Systems, and Manufacturing (referred to below as "JAMDSM") is an electronic journal edited and managed jointly by the JSME five divisions (Machine Design & Tribology Division, Design & Systems Division, Manufacturing and Machine Tools Division, Manufacturing Systems Division, and Information, Intelligence and Precision Division) , and issued by the JSME for the global dissemination of academic and technological information on mechanical engineering and industries.