Article
Automation & Control Systems
Guangbin Cai, Qian Yang, Chaoxu Mu, Xin Li
Summary: This paper addresses the design problem of Gain-Scheduled Output-Feedback (GSOF) controllers for morphing aircraft using inexact scheduling parameters during the wing transition process. The stability of the closed-loop system and the L2 gain performance can be guaranteed under the controller based on measured scheduling parameters. The problem is formulated as the solution to a set of parameter-dependent linear matrix inequalities (LMI) with a single-line search parameter.
IET CONTROL THEORY AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Renan L. Pereira, Matheus S. de Oliveira
Summary: This paper presents a novel control method based on linear fractional representation (LFR) to obtain a mixed-sensitivity controller for discrete-time linear parameter-varying (LPV) systems. The proposed method combines parameter-dependent Lyapunov functions with static full-block multipliers and slack variables to achieve less conservative results compared to other control strategies. The distinctive controller is established using the observer-based control structure, considering both H-2 and L-2 performance indexes and exploring factorization contractiveness. The output feedback controller is synthesized through two steps and its design conditions are expressed in terms of a finite number of linear matrix inequalities. The effectiveness of the proposed control method is demonstrated through two numerical examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Computer Science, Information Systems
Weilin Wu, Wei Xie, Toshio Eisaka, Liejun Li
Summary: This paper presents a solution for designing smooth switching control based on the coprime factorization method, by dividing the moving region of gain-scheduling variables and solving the central controller using Riccati inequality to improve the chattering phenomenon during switching moments. The effectiveness of the method is verified through simulation examples.
Article
Computer Science, Information Systems
Moslem Dehghani, Mohammad Ghiasi, Taher Niknam, Kumars Rouzbehi, Zhanle Wang, Pierluigi Siano, Hassan Haes Alhelou
Summary: This paper presents a robust model predictive control (RMPC) method with a new mixed H2/H 1 linear time-varying state feedback design, which is applied to control inverters in a microgrid. The proposed method can meet control requirements under different conditions and enhance control capability while reducing computational burden. The strategy can implement load sharing and stabilize the frequency and voltage of an entire smart island.
Article
Automation & Control Systems
Carla de Souza, Carla Tarbouriech, Carla J. S. Leite, Eugenio B. Castelan
Summary: This paper investigates an event-triggered control design approach for discrete-time linear parameter-varying (LPV) systems under control constraints. The proposed method simultaneously designs a parameter-dependent dynamic output feedback controller and an event generator to ensure the regional asymptotic stability of the closed-loop system. The conditions for the design are given in terms of linear matrix inequalities (LMIs) based on the Lyapunov stability theory. Furthermore, optimization procedures are proposed to minimize sensor transmissions, maximize the estimation of the region of attraction, and incorporate optimal control criteria. Numerical examples demonstrate the effectiveness of the proposed technique.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Waseem Iqbal, Imran Ghous, Ejaz Ahmad Ansari, Zhaoxia Duan, Muhammad Imran, Asim Ali Khan, Mirza Tariq Humayun
Summary: The paper investigates the robust nonlinear observer-based controller design problem for one-sided Lipschitz switched systems. It considers nonlinear switched systems with norm-bounded uncertainties, time-varying delays, and external disturbances. By selecting appropriate Lyapunov-Krasovskii functions and applying certain conditions, the paper guarantees the exponential convergence of the system states, observer states, and error states to zero, using linear matrix inequalities via average dwell-time approach. The proposed scheme offers necessary robustness against L2-norm bounded perturbations and has been validated through a practical example.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Engineering, Aerospace
Nicolas Sedlmair, Julian Theis, Frank Thielecke
Summary: This study introduces a complete automatic landing controller capable of using three-dimensional curved approach paths for aircraft landing, taking into account practical issues such as mode transfer and anti-windup compensation. The controller demonstrates high-precision landing performance in multiple flight test experiments.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2022)
Article
Automation & Control Systems
Ya-Li Zhi, Liuwen Chen, Shuping He
Summary: This paper focuses on the stochastic stability and controller design of descriptor Markovian jump systems with time-varying delays. A novel stochastic stability criterion and controller design method are proposed, and their effectiveness is verified through numerical examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Engineering, Civil
Abdullah Turan, Melin Sahin, Cem Onat
Summary: This study presents a gain scheduling H-infinity controller based on LPV model to suppress vibration of a smart beam, demonstrating its effectiveness through experiments.
SMART STRUCTURES AND SYSTEMS
(2021)
Article
Automation & Control Systems
Quanxin Zhu, Tingwen Huang
Summary: This article studies the robust stabilization problem for a class of stochastic networked control delay systems with time-varying delays and unknown parameters. By developing an event-triggered strategy and designing an H-infinity controller, the robustly exponential stabilization problem in mean-square is solved. The focus is on continuous-time stochastic systems, specifically considering time-varying delays and unknown parameters.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Engineering, Aerospace
Amina Belmouhoub, Yasser Bouzid, Slimane Medjmadj, Saddam Hocine Derrouaoui, Houria Siguerdidjane, Mohamed Guiatni
Summary: This paper introduces a morphing quadcopter that has variable structure and enables independent rotation of its arms. The study focuses on the influence of time-varying parameters on the properties, dynamics, stability, and control of the aerial robot. It proposes a robust control approach based on synergetic theory that demonstrates enhanced accuracy, convergence, and chattering suppression.
AEROSPACE SCIENCE AND TECHNOLOGY
(2023)
Article
Automation & Control Systems
Liang Nie, Bo Cai, Shengao Lu, Han Qin, Lixian Zhang
Summary: This paper presents a novel finite-time switched linear parameter-varying (LPV) control method for quadrotors subject to large attitude angles and external disturbances. The method involves designing a family of polytopic LPV controllers and implementing a persistent dwell time (PDT) switching logic for better parameter variations. The established switched LPV control method ensures a guaranteed finite-time H-infinity/LQR performance for the error-tracking system of quadrotors.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Mathematics
Khac Huan Su, Kwankyun Byeon, Wonhee Kim, Youngwoo Lee
Summary: This study presents an LPV H-∞ control method with an augmented nonlinear observer (ANOB) to improve the position and yaw tracking errors for Sawyer motors. The proposed method utilizes forces and torque modulation, an ANOB, and a Lyapunov-based current controller with an LPV H-∞ state feedback controller to ensure stability of the tracking error dynamics. The ANOB estimates all state variables using only position feedback. The study evaluates the effectiveness of the method through simulation results and compares it with the traditional PID control method.
Article
Automation & Control Systems
Marco Antonio Leite Beteto, Edvaldo Assuncao, Marcelo Carvalho Minhoto Teixeira
Summary: In this paper, a mixed 7-(2/7-(00 guaranteed cost method is proposed for continuous-time linear parameter-varying (LPV) systems, considering gain scheduling (GS) strategy and state derivative feedback (SDF). The time-varying parameter is assumed to be available for online measurement, and the conditions are based on linear matrix inequalities (LMIs). The system behavior is improved by utilizing D-stability. Examples demonstrate that the proposed conditions achieve good results in reducing disturbance effects in the system. Furthermore, the proposed methods guarantee asymptotic stability and mixed 7-(2/7-(00 guaranteed cost minimization.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Chemistry, Analytical
Jihoon Lee, Seong-Hun Kim, Hanna Lee, Youdan Kim
Summary: In this study, a novel framework for flight control of a morphing unmanned aerial vehicle (UAV) using linear parameter-varying (LPV) methods is proposed. A high-fidelity nonlinear model and LPV model of an asymmetric variable-span morphing UAV were obtained using the NASA generic transport model. LPV-based control augmentation systems were designed to track specific commands, and a span morphing strategy was investigated considering the effects of morphing on various factors. Autopilots were designed using LPV methods for command tracking, and a nonlinear guidance law was coupled with the autopilots for three-dimensional trajectory tracking.
