Multi-Objective Motion Control Optimization for the Bridge Crane System

Xiao, Renxin; Wang, Zelin; Guo, Ningyuan; Wu, Yitao; Shen, Jiangwei; Chen, Zheng

doi:10.3390/app8030473

Cited by 8 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The chain control law ensures the stability of the system. To improve the dynamic performance of the system, Xiao et al [24] proposed a hybrid method that combines trajectory planning and LQR control in which the weight matrixes are searched via a multiobjective genetic algorithm. In [25], a tracking control method based on feedforward and LQR control is proposed for three-dimensional (3D) cranes.…”

Section: Introductionmentioning

confidence: 99%

Flatness-Based Backstepping Antisway Control of Underactuated Crane Systems under Wind Disturbance

Niu

2023

Electronics

View full text Add to dashboard Cite

A control method that combines trajectory planning and backstepping is proposed for the antisway problem of underactuated overhead cranes under wind disturbance. First, a set of flat outputs is proposed so that the crane system dynamics can be represented by each order of flat outputs. Sufficient relevant constraints are given to ensure that the trolley can arrive at the desired position in a limited time under variable rope lengths, and that the swing angle can be suppressed when the payload is lifted or lowered during operation. The planned trajectory is obtained by solving for the optimal parameters of the flat output. Next, to reduce the deviation caused by wind disturbance on the actual control of the trajectory, a tracking controller is designed. Because the system output space and flat output space are differentiable homeomorphisms, the backstepping controller constructed based on the flat output can indirectly control the system output, which makes the backstepping method applicable to underactuated cranes. The simulation results show that the proposed method is effective and has strong robustness.

show abstract

Section: Introductionmentioning

confidence: 99%

Flatness-Based Backstepping Antisway Control of Underactuated Crane Systems under Wind Disturbance

Niu

2023

Electronics

View full text Add to dashboard Cite

show abstract

“…The existing control modes of the control systems of bridge crane can be divided into two types: open-loop control and closed-loop control. The representative methods of open loop control include input shaping 1,2 and offline trajectory planning, [3][4][5] which can precisely plan the movement of the trolley to accurately locate and suppress the swing of the payload. Although this type of method can achieve better control results in an indoor environment without interference, the control accuracy depends on the natural frequency of the system.…”

Section: Introductionmentioning

confidence: 99%

A novel model-free adaptive terminal sliding mode controller for bridge cranes

Wang

Tan

Qiu

et al. 2023

Measurement and Control

View full text Add to dashboard Cite

To achieve stabilisation control of an underactuated bridge crane system, a new robust control strategy for the sliding mode is proposed in this paper. It can realise finite-time-convergent stabilisation control under the conditions of model uncertainty, parameter perturbation and external interference. In contrast to the existing methods, our method does not need prior information of the dynamic characteristics of the bridge crane system, and can make the system converge to the equilibrium state at the preset time. Specifically, the nonlinear model of the bridge crane system is linearised with partial feedback, and adaptive signals are introduced. Then, according to the form of the transformed system, a fast terminal sliding mode surface is constructed, and an adaptive terminal sliding mode controller is designed. According to strict analysis, the proposed control law ensures that the system converges to the equilibrium point in finite time and provides the convergence time. Finally, the effectiveness and robustness of the proposed control method are verified by comparing the simulation and experimental results with existing methods.

show abstract

“…In terms of the optimization algorithm and the optimization of the autoclave, Gu et al utilized a multi-objective genetic algorithm to optimize the parameters of a multisource vibration machine, the complex vibration of the combined harvester [35]. Xiao et al proposed a novel control algorithm combining the linear quadratic regulator (LQR) control and trajectory planning (TP) to optimize a crane system [36]. Mafezzoli and Grieco proposed an optimization model derived by defning an objective function in terms of penalty coefcients associated with diferent tools and positions in the autoclave [37].…”

Section: Introductionmentioning

confidence: 99%

The Optimization of the Fillet Size of Autoclave Tooth Based on the Experiment and Numerical Simulation

Ouyang

Lin

et al. 2023

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

Focusing on the phenomenon of the crack on the autoclave flange, a three-dimensional model of the autoclave was established based on the Ansys Workbench platform. A new finite element analysis flow for optimizing the design of autoclave teeth was established using the Fluent, Static Structure, and Direct Optimization modules. The paper analyzed and discussed the maximum stress and minimum fatigue life at the corresponding position. The variation trend of stress and fatigue life at the corresponding position after fillet optimization was also discussed. The results showed that the equivalent stress of autoclave teeth without fillet optimization reached the maximum under different fillet sizes. The equivalent stress and fatigue life of the autoclave tooth were the same as the rounded corner size obtained by the optimization design. The optimal global solution could be obtained through the optimization design process.

show abstract

Multi-Objective Motion Control Optimization for the Bridge Crane System

Cited by 8 publications

References 31 publications

Flatness-Based Backstepping Antisway Control of Underactuated Crane Systems under Wind Disturbance

Flatness-Based Backstepping Antisway Control of Underactuated Crane Systems under Wind Disturbance

A novel model-free adaptive terminal sliding mode controller for bridge cranes

The Optimization of the Fillet Size of Autoclave Tooth Based on the Experiment and Numerical Simulation

Contact Info

Product

Resources

About