Research on Nonlinear Coupled Tracking Controller for Double Pendulum Gantry Cranes With Load Hoisting/lowering

Author(s):  
Huaitao Shi ◽  
Fuxing Yao ◽  
Zhe Yuan ◽  
Shenghao Tong ◽  
Yinghan Tang ◽  
...  

Abstract Gantry cranes, which have attracted extensive attention, are mostly simplified as nonlinear single pendulum systems without load hoisting/lowering. However, in fact, due to the existence of the hook, gantry cranes produce double pendulum swing. With an extra underactuated degree of freedom, the anti-swing control of the double pendulum gantry cranes becomes more difficult than that of single pendulum gantry cranes, especially when load hoisting/lowering is considered simultaneously. Moreover, large swings, which lead to problems such as inaccurate positioning and low transportation efficiency, may be caused by double pendulum gantry cranes with load hoisting/lowering. In this paper, a nonlinear coupled tracking anti-swing controller is proposed to solve these problems. In this controller, a smooth tracking trajectory is introduced to ensure the stable start and run of the trolley, and a coupled signal is constructed to eliminate the residual swing angles of gantry crane system. The system stability is analyzed by using Lyapunov method and Barbarat theorem. Theoretical derivation, simulation and experimental results show that the proposed controller has excellent control performance, specifically, not only does it ensure accurate positioning of the load, but also it suppresses and eliminates the hook/load swing angle effectively. The proposed controller can still achieve good control effects and has strong robustness under the condition of changing the load mass, trolley target displacement, system initial swing angles and adding external disturbance.

Symmetry ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1511 ◽  
Author(s):  
Huaitao Shi ◽  
Gang Li ◽  
Xin Ma ◽  
Jie Sun

The double pendulum type gantry crane is a typical symmetry underactuated motion system. It has control problems in that the swing of the payload is difficult to suppress and the precise positioning of the trolley is not accurate. A new nonlinear coupling control method based on improved energy is proposed in this paper. We define coupled control signal among trolley, hook and payload. An improved energy storage function is established based on the new coupling control signal. Consequently, a nonlinear anti-swing controller is constructed straightforwardly, and the closed-loop system stability is subject to strict mathematics analysis by Lyapunov and LaSalle’ s theorem. Moreover, the new energy function based on the coupling behaving between the trolley motion and the payload swing leads to the improved control performance. Numerical simulation results show that the proposed method has better performance than traditional controllers. It not only effectively suppresses the swing of the load and the hook, but also precisely controls the displacement of the trolley. It has strong robustness to the displacement of the payload, the change of the gantry crane parameters and the external disturbance.


Author(s):  
Ashwani Kharola

This study considers a fuzzy logic-based reasoning approach for control and optimising performance of overhead gantry crane. The objective of this study is to minimise load swing and to stabilise the crane in the least possible time. The fuzzy controllers were designed using nine Gaussian and triangular shape membership functions. The results clearly confirmed the effect of shape of memberships on performance of fuzzy controllers. Performance of overhead crane was measured in terms of settling time and overshoot ranges. The study also demonstrates the influence of varying mass of the load, mass of crane, and length of crane bar on stability of the crane. A mathematical model of the crane system has been derived to develop a simulink model of proposed system and performing simulations.


Author(s):  
Ziyad N. Masoud ◽  
Khalid A. Alhazza ◽  
Majed A. Majeed ◽  
Eiyad A. Abu-Nada

A gantry cranes is generally modeled as a simple-pendulum with a point mass attached to the end of a massless rigid link. Numerous control systems have been developed to reduce payload oscillations in order to improve safety and positioning accuracy of crane operations. However, large-size payloads transforms the crane model from a simple-pendulum system to a double-pendulum system. Control systems that consider only one mode of oscillations of a double-pendulum may excite large oscillations in the other mode. In multi-degrees-of-freedom systems, command-shaping controllers designed for the first mode may eliminate oscillations of higher modes provided that their frequencies are odd integer multiples of the first mode frequency. In this work, a hybrid command-shaping controller is designed to generate acceleration commands to suppress travel and residual oscillations of a highly accelerated double-pendulum gantry crane. It is shown that the suggested hybrid command-shaper is capable of minimizing oscillations of both modes of a scaled experimental double-pendulum model of a gantry crane. Results show that the hybrid command-shaper produces a reduction of 95% in residual oscillations in both modes of the double-pendulum over the time-optimal rigid-body commands.


2004 ◽  
Vol 10 (2) ◽  
pp. 269-289 ◽  
Author(s):  
Hanafy M Omar ◽  
Ali H Nayfeh

We have designed a controller based on gain-scheduling feedback to move a load from point to point within one oscillation cycle and without inducing large swings. The settling time of the system is taken to be equal to the period of oscillation of the load. This criterion enables us to calculate the controller feedback gains for varying load weight and cable length. First, we designed the controller for gantry cranes and then extended it to tower cranes by considering the coupling between the translational and rotational motions. Numerical simulations show that the controller is effective for reducing load oscillations and transferring the load in a reasonable time compared with that of optimal control. To experimentally validate the theory, we had to compensate for friction. To this end, we estimated the friction, then applied an opposite control action to cancel it. To estimate the friction force, we assumed a mathematical model, then we estimated the model coefficients using an off-line identification technique, the least-squares method. First, the process of identification was applied to a theoretical model of a dc motor with known friction coefficients. From this example, some guidelines and rules were deduced for the choice of the least-squares parameters. Then, the friction coefficients of the gantry crane model were estimated and validated.


Robotica ◽  
2020 ◽  
pp. 1-13
Author(s):  
Xiong Lu ◽  
Beibei Qi ◽  
Hao Zhao ◽  
Junbin Sun

SUMMARY Rendering of rigid objects with high stiffness while guaranteeing system stability remains a major and challenging issue in haptics. Being a part of the haptic system, the behavior of human operators, represented as the mechanical impedance of arm, has an inevitable influence on system performance. This paper first verified that the human arm impedance can unconsciously be modified through imposing background forces and resist unstable motions arising from external disturbance forces. Then, a reliable impedance tuning (IT) method for improving the stability and performance of haptic systems is proposed, which tunes human arm impedance by superimposing a position-based background force over the traditional haptic workspace. Moreover, an adaptive IT algorithm, adjusting the maximum background force based on the velocity of the human arm, is proposed to achieve a reasonable trade-off between system stability and transparency. Based on a three-degrees-of-freedom haptic device, maximum achievable stiffness and transparency grading experiments are carried out with 12 subjects, which verify the efficacy and advantage of the proposed method.


2011 ◽  
Author(s):  
R. M. T. Raja Ismail ◽  
M. A. Ahmad ◽  
M. S. Ramli ◽  
R. Ishak ◽  
M. A. Zawawi ◽  
...  

Author(s):  
Craig Forest ◽  
David Frakes ◽  
William Singhose

Abstract Knowledge of vibrations and controls has increased significantly by utilizing emerging computer capabilities. Engineering education should embrace this technology through computer simulations that predict and display the dynamic response of interesting systems. For example, manipulating payloads with an overhead gantry crane can be challenging due to the oscillations induced by the crane motion. The problem gets increasingly difficult when the work environment is cluttered with obstacles. This paper describes a simple input shaping solution to the vibration problem and shows how this problem and concept were integrated into the curriculum of an undergraduate system dynamics and controls course at the Georgia Institute of Technology. Furthermore, an educational tool is used to gather data on how crane operators attempt to navigate around obstacles. The results show that input shaping reduces the likelihood of collisions between the payload and obstacles, while at the same time allowing operators to be more aggressive in selecting navigation paths.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Qi Zhang ◽  
Hongjin Dong ◽  
Mingjun Ling ◽  
Leyi Duan ◽  
Yuguang Wei

In order to improve the transshipment efficiency of transit containers in the port or the port-type railway network container freight station (PRNCS) with the condition that each transit container matches a railway flat-car, this paper studied the optimization of operation path of the rail mounted gantry crane (RMG) in the loading and unloading track for containers transshipped directly from highway to railway. Based on the basic model of TSP, the paper constructed the optimization model for the operation path of RMG, and designed the Ant Colony Algorithm (ACA) to solve it, and then obtained the operation scheme of RMG having the highest efficiency. Finally, the validity and correctness of the model and algorithm were verified by a case.


Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 24 ◽  
Author(s):  
Jian Dong ◽  
Bin He

Due to the under-actuated and strong coupling characteristics of quadrotor aircraft, traditional trajectory tracking methods have low control precision, and poor anti-interference ability. A novel fuzzy proportional-interactive-derivative (PID)-type iterative learning control (ILC) was designed for a quadrotor unmanned aerial vehicle (UAV). The control method combined PID-ILC control and fuzzy control, so it inherited the robustness to disturbances and system model uncertainties of the ILC control. A new control law based on the PID-ILC algorithm was introduced to solve the problem of chattering caused by an external disturbance in the ILC control alone. Fuzzy control was used to set the PID parameters of three learning gain matrices to restrain the influence of uncertain factors on the system and improve the control precision. The system stability with the new design was verified using Lyapunov stability theory. The Gazebo simulation showed that the proposed design method creates effective ILC controllers for quadrotor aircraft.


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