In this brief, trajectory tracking for a fully actuated surface vessel while performing automated docking is addressed. Environmental disturbances, integral action, as well as physical actuator quantities are directly integrated into the approach, avoiding the need for additional control allocation. By employing a backstepping design, uniform local exponential stability is proven. The performance of the controller is demonstrated by full-scale experiments. Moreover, a comparison between the physical experiments and simulations is provided.
{"title":"Tracking Control of Docking Maneuvers for a Fully Actuated Surface Vessel Using Backstepping","authors":"Leticia Mayumi Kinjo;Tomas Ménard;Stefan Wirtensohn;Olivier Gehan;Johannes Reuter","doi":"10.1109/TCST.2024.3385666","DOIUrl":"10.1109/TCST.2024.3385666","url":null,"abstract":"In this brief, trajectory tracking for a fully actuated surface vessel while performing automated docking is addressed. Environmental disturbances, integral action, as well as physical actuator quantities are directly integrated into the approach, avoiding the need for additional control allocation. By employing a backstepping design, uniform local exponential stability is proven. The performance of the controller is demonstrated by full-scale experiments. Moreover, a comparison between the physical experiments and simulations is provided.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"32 5","pages":"1920-1927"},"PeriodicalIF":4.9,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140628995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-18DOI: 10.1109/TCST.2024.3387588
Xiangchen Cheng;Wei Tang;Ming Yang;Li Jin
Signal-free intersections are a representative application of smart and connected vehicle technologies. Although extensive results have been developed for trajectory planning and autonomous driving, the formulation and evaluation of vehicle sequencing have not been well understood. In this article, we consider theoretical guarantees of macroscopic performance (i.e., capacity and delay) of typical sequencing policies at signal-free intersections. We model intersection traffic as a piecewise-deterministic Markov process (PDMP). We analytically characterize the intersection capacity regions and provide upper bounds on travel delay under three typical policies, viz. first-in-first-out (FIFO), min-switchover (MS), and longer-queue-first (LQF). We obtain these results by constructing policy-specific Lyapunov functions and computing mean drift of the PDMP. We also validate the results via a series of micro-simulation-based experiments.
{"title":"Vehicle Sequencing at Signal-Free Intersections: Analytical Performance Guarantees Based on PDMP Formulation","authors":"Xiangchen Cheng;Wei Tang;Ming Yang;Li Jin","doi":"10.1109/TCST.2024.3387588","DOIUrl":"10.1109/TCST.2024.3387588","url":null,"abstract":"Signal-free intersections are a representative application of smart and connected vehicle technologies. Although extensive results have been developed for trajectory planning and autonomous driving, the formulation and evaluation of vehicle sequencing have not been well understood. In this article, we consider theoretical guarantees of macroscopic performance (i.e., capacity and delay) of typical sequencing policies at signal-free intersections. We model intersection traffic as a piecewise-deterministic Markov process (PDMP). We analytically characterize the intersection capacity regions and provide upper bounds on travel delay under three typical policies, viz. first-in-first-out (FIFO), min-switchover (MS), and longer-queue-first (LQF). We obtain these results by constructing policy-specific Lyapunov functions and computing mean drift of the PDMP. We also validate the results via a series of micro-simulation-based experiments.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"32 6","pages":"2023-2036"},"PeriodicalIF":4.9,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140629031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1109/TCST.2024.3387788
Zhen Wu;Zhongyang Fei;Xuefang Lin-Shi;Xi-Ming Sun
In the aero-engine control, fast response capability is significant in transient performance, especially when aircraft work in emergency scenarios. To improve the response speed of aero-engines, this brief proposes a type of fixed-time control using the switched system approach. First, aero-engines are modeled as switched systems to better reflect the multimode characteristics under various operating tasks. Then, the fixed-time controller is proposed, which has advantages of small computation and easy implementation. Novel criteria are proposed for fixed-time stability analysis of the closed-loop system under restricted switchings. Furthermore, specific calculations are provided to derive the upper bound for the convergence time. Finally, superiorities of the proposed method are validated through experimental results.
{"title":"Fixed-Time Controller Design for Aero-Engines: A Switched System Approach","authors":"Zhen Wu;Zhongyang Fei;Xuefang Lin-Shi;Xi-Ming Sun","doi":"10.1109/TCST.2024.3387788","DOIUrl":"10.1109/TCST.2024.3387788","url":null,"abstract":"In the aero-engine control, fast response capability is significant in transient performance, especially when aircraft work in emergency scenarios. To improve the response speed of aero-engines, this brief proposes a type of fixed-time control using the switched system approach. First, aero-engines are modeled as switched systems to better reflect the multimode characteristics under various operating tasks. Then, the fixed-time controller is proposed, which has advantages of small computation and easy implementation. Novel criteria are proposed for fixed-time stability analysis of the closed-loop system under restricted switchings. Furthermore, specific calculations are provided to derive the upper bound for the convergence time. Finally, superiorities of the proposed method are validated through experimental results.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"32 6","pages":"2394-2401"},"PeriodicalIF":4.9,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140611623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1109/TCST.2024.3385632
Maurice Poot;Max van Haren;Dragan Kostić;Jim Portegies;Tom Oomen
The requirements for high accuracy and throughput in next-generation data-intensive motion systems lead to situations where position-dependent feedforward is essential. This article aims to develop a framework for interpretable and task-flexible position-dependent feedforward through systematic learning with automated experimental design. A data-driven and interpretable framework is developed by employing Gaussian process (GP) regression, enabling accurate modeling of feedforward parameters as a continuous function of position. The data is efficiently collected and illustrated through an iterative learning control (ILC) algorithm. Moreover, a framework for experimental design in the sense of automatically determining the training positions is presented by exploiting the uncertainty estimates of the GP and the specified first-principles knowledge. Two relevant case studies show the importance and significant performance improvement of the approach for position-dependent snap feedforward for a simplified 1-D wafer stage simulation and experimental application to position-dependent motor force constant compensation in an industrial wirebonder.
下一代数据密集型运动系统对高精度和高吞吐量的要求,使得位置相关前馈变得至关重要。本文旨在通过自动化实验设计的系统学习,开发一个可解释且任务灵活的位置相关前馈框架。通过采用高斯过程(GP)回归,开发了一个数据驱动和可解释的框架,使前馈参数的精确建模成为位置的连续函数。通过迭代学习控制(ILC)算法,可以有效地收集和说明数据。此外,通过利用 GP 的不确定性估计和指定的第一原理知识,提出了自动确定训练位置的实验设计框架。两个相关案例研究显示了该方法在简化的 1-D 晶圆平台仿真中用于位置依赖性快速前馈的重要性和显著的性能改进,以及在工业绕线机中用于位置依赖性电机力恒定补偿的实验应用。
{"title":"Position-Dependent Motion Feedforward via Gaussian Processes: Applied to Snap and Force Ripple in Semiconductor Equipment","authors":"Maurice Poot;Max van Haren;Dragan Kostić;Jim Portegies;Tom Oomen","doi":"10.1109/TCST.2024.3385632","DOIUrl":"10.1109/TCST.2024.3385632","url":null,"abstract":"The requirements for high accuracy and throughput in next-generation data-intensive motion systems lead to situations where position-dependent feedforward is essential. This article aims to develop a framework for interpretable and task-flexible position-dependent feedforward through systematic learning with automated experimental design. A data-driven and interpretable framework is developed by employing Gaussian process (GP) regression, enabling accurate modeling of feedforward parameters as a continuous function of position. The data is efficiently collected and illustrated through an iterative learning control (ILC) algorithm. Moreover, a framework for experimental design in the sense of automatically determining the training positions is presented by exploiting the uncertainty estimates of the GP and the specified first-principles knowledge. Two relevant case studies show the importance and significant performance improvement of the approach for position-dependent snap feedforward for a simplified 1-D wafer stage simulation and experimental application to position-dependent motor force constant compensation in an industrial wirebonder.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"32 6","pages":"1968-1982"},"PeriodicalIF":4.9,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140611494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1109/TCST.2024.3386062
Pablo Krupa;Rim Jaouani;Daniel Limon;Teodoro Alamo
Model predictive control (MPC) typically includes a terminal constraint to guarantee stability of the closed-loop system under nominal conditions. In linear MPC, this constraint is generally taken on a polyhedral set, leading to a quadratic optimization problem. However, the use of an ellipsoidal terminal constraint may be desirable, leading to an optimization problem with a quadratic constraint. In this case, the optimization problem can be solved using second-order cone (SOC) programming solvers, since the quadratic constraint can be posed as a SOC constraint, at the expense of adding additional slack variables and possibly compromising the simple structure of the solver ingredients. In this brief, we present a sparse solver for linear MPC subject to a terminal ellipsoidal constraint based on the alternating direction method of multipliers (ADMM) algorithm in which we directly deal with the quadratic constraints without having to resort to the use of a SOC constraint nor the inclusion of additional decision variables. The solver is suitable for its use in embedded systems, since it is sparse, has a small memory footprint, and requires no external libraries. We compare its performance against other approaches from the literature.
{"title":"A Sparse ADMM-Based Solver for Linear MPC Subject to Terminal Quadratic Constraint","authors":"Pablo Krupa;Rim Jaouani;Daniel Limon;Teodoro Alamo","doi":"10.1109/TCST.2024.3386062","DOIUrl":"10.1109/TCST.2024.3386062","url":null,"abstract":"Model predictive control (MPC) typically includes a terminal constraint to guarantee stability of the closed-loop system under nominal conditions. In linear MPC, this constraint is generally taken on a polyhedral set, leading to a quadratic optimization problem. However, the use of an ellipsoidal terminal constraint may be desirable, leading to an optimization problem with a quadratic constraint. In this case, the optimization problem can be solved using second-order cone (SOC) programming solvers, since the quadratic constraint can be posed as a SOC constraint, at the expense of adding additional slack variables and possibly compromising the simple structure of the solver ingredients. In this brief, we present a sparse solver for linear MPC subject to a terminal ellipsoidal constraint based on the alternating direction method of multipliers (ADMM) algorithm in which we directly deal with the quadratic constraints without having to resort to the use of a SOC constraint nor the inclusion of additional decision variables. The solver is suitable for its use in embedded systems, since it is sparse, has a small memory footprint, and requires no external libraries. We compare its performance against other approaches from the literature.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"32 6","pages":"2376-2384"},"PeriodicalIF":4.9,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140611629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this article, we present a control design framework for autonomous visual tracking of a dynamic target by a quadrotor vehicle. The considered problem poses important challenges related to the scale ambiguity, which affects monocular vision systems, and the lack of knowledge of the target dynamic response. These are addressed by leveraging a modular architecture that combines a state-of-the-art visual object tracker with a robust output feedback controller. In particular, by relying on the $mu $