4.7 Article

An Input Dead Zones Considered Adaptive Fuzzy Control Approach for Double Pendulum Cranes With Variable Rope Lengths

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

An Output Feedback Approach for Regulation of 5-DOF Offshore Cranes With Ship Yaw and Roll Perturbations

He Chen et al.

Summary: This article focuses on the control problem of a 5 degrees of freedom offshore crane in 3-D space with persistent ship yaw and roll perturbations, and proposes an effective output feedback control method. The proposed method is the first control method designed for 5-DOF offshore cranes without any linearization, which only uses output signals. Experimental results validate the performance of the proposed method.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

Article Automation & Control Systems

Gait Phase Classification for a Lower Limb Exoskeleton System Based on a Graph Convolutional Network Model

Xinyu Wu et al.

Summary: This article presents a graph convolutional network model for gait phase classification and verifies its real-time performance on a lower limb exoskeleton. The experimental results demonstrate that the proposed model achieves higher prediction accuracy and robustness in gait phase classification for different individuals in various environments.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

Article Automation & Control Systems

Hydrodynamics of a Flexible Flipper for an Underwater Vehicle-Manipulator System

Xuejian Bai et al.

Summary: Motivated by the requirement for developing a lightweight and nimble underwater vehicle-manipulator system (UVMS), this article presents a novel design of the overall framework and functional modules for a flippers-driven UVMS (F-UVMS). The study focuses on the material properties and flexible deformation to derive the dynamic model of the flexible flipper and analyze its hydrodynamic characteristics. The results show that the flexible flipper has higher propulsion efficiency compared to a rigid flipper.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2022)

Article Automation & Control Systems

Adaptive Neural Network Tracking Control for Double-Pendulum Tower Crane Systems With Nonideal Inputs

Menghua Zhang et al.

Summary: This article investigates a novel adaptive neural network tracking control method for a unique double-pendulum tower crane system model, addressing critical and practical application-oriented control issues that have not been well addressed in the existing literature. The proposed method uses neural networks to approximate functions with uncertain dynamics and nonideal inputs, and employs barrier Lyapunov functions to maintain tracking error limitations. Simulation studies verify the excellent performance and strong robustness of the control method, making it the first work to consider a double-pendulum tower crane system without any linearization for the original nonlinear dynamic model.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)

Article Automation & Control Systems

Asymmetric Input-Output Constraint Control of a Flexible Variable-Length Rotary Crane Arm

Yu Liu et al.

Summary: This article presents a control method for angle tracking and deformation suppression of a flexible variable-length rotary crane arm, using boundary controllers, S-curve acceleration and deceleration scheme, observer, and Lyapunov functions to meet asymmetric input-output constraints. The global exponential stability and uniform boundedness are analyzed using Lyapunov theory and numerical simulations are provided to demonstrate the effectiveness of the control schemes.

IEEE TRANSACTIONS ON CYBERNETICS (2022)

Article Automation & Control Systems

Modeling and Control of Tower Cranes With Elastic Structure

Florentin Rauscher et al.

Summary: This paper presents a dynamic model of top-slewing tower cranes considering structural elasticity, as well as a control structure design for anti-sway, which consists of a nonlinear feedforward controller and a gain scheduled linear quadratic regulator. Experimental results with a full-scale tower crane validate the model accuracy and effectiveness of the proposed anti-sway control concept.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2021)

Article Automation & Control Systems

Resonance-Based Tossing Control for Bulk Materials Transportation of an Overhead Crane

Ho Duc Tho et al.

Summary: This article introduces a new concept named tossing control methodology to enhance transportation productivity. A specific type of tossing controller is proposed that relies on linear resonance to induce oscillation in periodically increasing amplitude. Results show that the resonance-based tossing control can reduce transferring time significantly compared to traditional vibration controllers.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

Article Automation & Control Systems

Neural Observer and Adaptive Fractional-Order Backstepping Fast-Terminal Sliding-Mode Control of RTG Cranes

Le Anh Tuan

Summary: This article presents a control system for rubber-tired gantry (RTG) cranes using three actuators to track three actuated outputs and stabilize two unactuated outputs. Advanced techniques such as fast-terminal sliding mode, fractional calculus, backstepping, and neural networks are incorporated to endow the control system with adaptive and robust features. Simulation and experimentation are conducted to evaluate the quality and effectiveness of the control system.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

Article Automation & Control Systems

Nonlinear modeling and robust LMI fuzzy control of overhead crane systems

Charles Aguiar et al.

Summary: This study presents a novel approach using fuzzy models and controllers to address key dynamics issues in crane systems, ensuring system stability and performance through the construction of an LMI feasibility problem. The method proves to be more effective than optimal quadratic controllers and can smoothly and safely move cargo to the destination.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2021)

Article Automation & Control Systems

Reinforcement Learning Control of a Flexible Two-Link Manipulator: An Experimental Investigation

Wei He et al.

Summary: This article discusses the control design and experiment validation of a flexible two-link manipulator system represented by ordinary differential equations, introducing a reinforcement learning control strategy based on actor-critic structure. The closed-loop system with the proposed control algorithm is proven to be semi-global uniform ultimate bounded by Lyapunov's direct method. Simulation and experiments demonstrate the effectiveness of the control approach in vibration suppression and trajectory tracking.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)

Article Engineering, Mechanical

Control of an underactuated double-pendulum overhead crane using improved model reference command shaping: Design, simulation and experiment

H. Jaafar et al.

Summary: This paper presents a control scheme based on MRCS for an overhead crane with double-pendulum mechanism effects, achieving accurate trolley positioning and low oscillations without the need for parameter measurement or estimation. The improved algorithm reduces design complexity and can be augmented with a feedback controller for concurrent tuning. The combined MRCS and feedback controller achieves precise trolley positioning and low oscillations in hook and payload.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Automation & Control Systems

Boundary adaptive fault-tolerant control for a flexible Timoshenko arm with backlash-like hysteresis

Zhijia Zhao et al.

Summary: This study proposes a novel adaptive fault-tolerant control design for a flexible Timoshenko arm, considering the effects of actuator failures, backlash-like hysteresis, and external disturbances. By integrating actuator failures and backlash-like hysteresis together and using adaptive techniques to handle errors and disturbances, adaptive fault-tolerant controllers with online updates are established to ensure system stability. The proposed strategy guarantees uniformly bounded stability in the controlled system, as demonstrated through numerical examples.

AUTOMATICA (2021)

Article Automation & Control Systems

An Adaptive Unscented Kalman Filter With Selective Scaling (AUKF-SS) for Overhead Cranes

Jaehoon Kim et al.

Summary: This article introduces an augmented adaptive unscented Kalman filter designed to estimate both the diagonal process noise covariance matrix and unknown inputs simultaneously. A selective scaling method is also introduced to improve the convergence property of the filter. The development of the novel KF is motivated by a specific estimation problem related to crane systems.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

Article Engineering, Mechanical

Analytical analysis and oscillation control of payload twisting dynamics in a tower crane carrying a slender payload

Jiahui Ye et al.

Summary: The paper discusses the challenges faced by tower cranes suspending slender payloads on construction sites, and proposes a new dynamic model and control method to address swing and twisting issues. Extensive simulations and experiments demonstrate the effectiveness of the new method in suppressing twisting.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Computer Science, Information Systems

Linear Active Disturbance Rejection Control for Double-Pendulum Overhead Cranes

Lin Chai et al.

Summary: A control method based on LADRC and differential flatness theory is proposed for double pendulum overhead cranes, optimizing controller's parameters using the bird swarm algorithm to achieve accurate trolley positioning and effective swing eliminating. The method demonstrates effectiveness and robustness in real environment based on simulation and experimental results.

IEEE ACCESS (2021)

Article Engineering, Mechanical

Energy coupled-dissipation control for 3-dimensional overhead cranes

Shengzeng Zhang et al.

NONLINEAR DYNAMICS (2020)

Article Automation & Control Systems

An Adaptive DE Algorithm Based Fuzzy Logic Anti-swing Controller for Overhead Crane Systems

Zhe Sun et al.

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2020)

Article Automation & Control Systems

Disturbance-Compensation-Based Continuous Sliding Mode Control for Overhead Cranes With Disturbances

Xianqing Wu et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2020)

Article Automation & Control Systems

Nonlinear Control of Underactuated Systems Subject to Both Actuated and Unactuated State Constraints With Experimental Verification

He Chen et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)

Article Computer Science, Artificial Intelligence

A New Rule Reduction Method for Fuzzy Modeling

XinJiang Lu et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Automation & Control Systems

An Adaptive Fuzzy Control Method of Single-Link Flexible Manipulators with Input Dead-Zones

Chenglin Zhang et al.

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2020)

Article Engineering, Mechanical

Adaptive tracking controller design for double-pendulum tower cranes

Huimin Ouyang et al.

MECHANISM AND MACHINE THEORY (2020)

Article Computer Science, Artificial Intelligence

Deep Convolutional Identifier for Dynamic Modeling and Adaptive Control of Unmanned Helicopter

Yu Kang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Finite-Time Adaptive Fuzzy Output Feedback Dynamic Surface Control for MIMO Nonstrict Feedback Systems

Yongming Li et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)

Article Engineering, Mechanical

Interval estimation and optimization for motion trajectory of overhead crane under uncertainty

Haijun Peng et al.

NONLINEAR DYNAMICS (2019)

Article Automation & Control Systems

Dynamic Morphology and Swimming Properties of Rotating Miniature Swimmers With Soft Tails

Tiantian Xu et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2019)

Article Engineering, Mechanical

Efficient swing control of an overhead crane with simultaneous payload hoisting and external disturbances

Liyana Ramli et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Automation & Control Systems

Adaptive Sliding-Mode Control of an Offshore Container Crane With Unknown Disturbances

Gyoung-Hahn Kim et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2019)

Article Automation & Control Systems

A DMPs-Based Framework for Robot Learning and Generalization of Humanlike Variable Impedance Skills

Chenguang Yang et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2018)

Article Engineering, Mechanical

A neural network-based input shaping for swing suppression of an overhead crane under payload hoisting and mass variations

Liyana Ramli et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

Article Automation & Control Systems

A novel trajectory planning-based adaptive control method for 3-D overhead cranes

Xue Li et al.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2018)

Article Automation & Control Systems

Nonlinear Energy-Based Regulation Control of Three-Dimensional Overhead Cranes

Xianqing Wu et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2017)

Article Automation & Control Systems

Sliding-Mode-Control-Based Robust Finite-Time Antisway Tracking Control of 3-D Overhead Cranes

Dongkyoung Chwa

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2017)

Article Automation & Control Systems

Boundary Vibration Control of Variable Length Crane Systems in Two-Dimensional Space With Output Constraints

Xiuyu He et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2017)

Article Construction & Building Technology

Fuzzy-Logic-based control of payloads subjected to double-pendulum motion in overhead cranes

Dianwei Qian et al.

AUTOMATION IN CONSTRUCTION (2016)

Article Computer Science, Theory & Methods

Adaptive fuzzy control of uncertain stochastic nonlinear systems with unknown dead zone using small-gain approach

Yongming Li et al.

FUZZY SETS AND SYSTEMS (2014)

Article Computer Science, Artificial Intelligence

Adaptive Sliding-Mode Antisway Control of Uncertain Overhead Cranes With High-Speed Hoisting Motion

Mun-Soo Park et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2014)

Article Automation & Control Systems

Optimal motion planning for overhead cranes

Zhou Wu et al.

IET CONTROL THEORY AND APPLICATIONS (2014)

Article Operations Research & Management Science

Suboptimal Integral Sliding Mode Controller Design for a Class of Affine Systems

Rongjie Liu et al.

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS (2014)

Article Acoustics

Parallel neural network combined with sliding mode control in overhead crane control system

Lun-Hui Lee et al.

JOURNAL OF VIBRATION AND CONTROL (2014)

Article Engineering, Mechanical

Fuzzy crane control with sensorless payload deflection feedback for vibration reduction

Jaroslaw Smoczek

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2014)

Article Computer Science, Artificial Intelligence

Fuzzy-Model-Based Control of an Overhead Crane With Input Delay and Actuator Saturation

Yan Zhao et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2012)

Article Automation & Control Systems

Anti-swinging input shaping control of an automatic construction crane

Santiago Garrido et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2008)

Article Automation & Control Systems

Input shaping control of double-pendulum bridge crane oscillations

William Singhose et al.

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME (2008)

Article Automation & Control Systems

Fuzzy projection control law and its application to the overhead crane

Cheng-Yuan Chang et al.

MECHATRONICS (2008)

Article Automation & Control Systems

Adaptive coupling control for overhead crane systems

Yang Jung Hua et al.

MECHATRONICS (2007)

Article Automation & Control Systems

Adaptive sliding mode fuzzy control for a two-dimensional overhead crane

DT Liu et al.

MECHATRONICS (2005)