Adaptive sliding mode control of maglev system based on RBF neural network minimum parameter learning method

Sun, Yougang; Xu, Junqi; Qiang, Haiyan; Chen, Chen; Lin, Guobin

doi:10.1016/j.measurement.2019.03.006

Cited by 124 publications

(63 citation statements)

References 26 publications

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“…Theorem 1. The proposed adaptive nonlinear controller in (19) and (20) with the update law in (23) can guarantee the boom track their desired trajectory, and suppress the double-pendulum load sway simultaneously, in the mathematical sense that lim…”

Section: Stability Analysismentioning

confidence: 99%

“…Then, substituting the controller in (19) and (20) with the update law in (23) into (28), we can obtain the following result:…”

Section: Stability Analysismentioning

confidence: 99%

“…This kind of load sway will not only reduce the work efficiency but also cause accident and injury. 1 To solve this problem, many scholars have done a lot of researches and put forward many effective methods including input shaping method, 2-6 optimal control, 7-11 model predictive control, 12,13 adaptive control, [14][15][16][17] sliding mode control, [18][19][20][21] Lyapunov-based control, [22][23][24][25][26][27][28][29][30][31][32][33][34][35] robust control, 36,37 and so on. However, when the load shape is irregular or the mass of the hook cannot be neglected, the sway will present a more complex double-pendulum load sway phenomenon, which makes it difficult for traditional control methods to obtain satisfactory control performance.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tracking and load sway reduction for double‐pendulum rotary cranes using adaptive nonlinear control approach

Ouyang

Zhang

2019

Intl J Robust & Nonlinear

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Summary Because of the existence of rotational boom motion, the load sway characteristics is more complex. In particular, when the sway presents double‐pendulum phenomenon, the design of the controller is more challenging. Furthermore, the uncertain parameters and external disturbances in crane system make it difficult for traditional control methods to obtain satisfactory control performance. Hence, this paper presents an adaptive nonlinear controller based on the dynamic model of double‐pendulum rotary crane. Unlike a traditional method, the proposed one does not need to linearize the crane system for controller design; therefore, the control performance can be guaranteed even if the system states are far away from the equilibrium point. By using Lyapunov technique and LaSalle's invariance theorem, it is strictly proved that the whole control system is asymptotically stable at the equilibrium point. The effectiveness of the presented controller is demonstrated via comparative simulations.

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Section: Stability Analysismentioning

confidence: 99%

“…Then, substituting the controller in (19) and (20) with the update law in (23) into (28), we can obtain the following result:…”

Section: Stability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tracking and load sway reduction for double‐pendulum rotary cranes using adaptive nonlinear control approach

Ouyang

Zhang

2019

Intl J Robust & Nonlinear

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show abstract

“…On the other hand, the presented system uses a PLC's proportional integral derivative (PID) bloc which maintains the frequency around its standard value. The system does not have the flexibility to improve the PHPP frequency response using advanced controllers [7][8][9], while the PHPP system is non-linear system [4,5,[10][11][12]. The proposed controller could not guarantee good performances for all operating points.…”

Section: Introductionmentioning

confidence: 99%

Design of a Low-Cost Autonomous Controller, Management and Security System for Pico-Hydroelectric Power Plants

Hamdaouy¹,

Salhi²,

Dahbi³

et al. 2020

JESA

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In this paper, a new controller, management and security system (CMSS) was proposed to ensure the overall operation of pico-hydroelectric power plants (PHPPs) at low-cost, especially in off-grid sites in remote areas. The proposed system can be used to meet the requirements of the PHPP such as the start-up, the departures' management, the loadfrequency controller (LFC), the emergency stop (ES), and the normal stop procedures in order to guarantee good quality and sustainable services. The system was tested under various conditions to prove its reliability using PHPP prototype. Based on the prototype, the laboratory experimental results are presented. The design's details and the implementation of the system are given as well. The system is completely independent, and it achieved an initial cost of only 266 $. The flexibility makes the system more suitable for extended future improvement such as adding data-logger, adding communication aspects using wireless technologies, etc. Furthermore, the system could be easily adapted for different educational purposes, especially for universities with limited resources.

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“…Li Jinhui designed a virtual energy harvester, which can reduce the coupled vibration [16]. The nonlinear nature of the system can also lead to vibration and instability of the levitation system because the characteristics of the system change accordingly in different levitation gaps and it makes the controller design even harder [17].…”

Section: Introductionmentioning

confidence: 99%

Disturbance Rejection Control Using a Novel Velocity Fusion Estimation Method for Levitation Control Systems

Xia

Dou

2020

IEEE Access

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Magnetic levitation has been applied to maglev trains and magnetic suspension wind tunnel. However, there are some problems with the existing levitation control. For example, it is difficult to extract smooth velocity signals from the gap sensor with noise. The classical differentiator is susceptible to noise, which makes the levitation system sometimes vibrate. The accuracy and stability of levitation control need to be improved. The velocity fusion estimation method (VFE) is proposed to extract the velocity signal from the gap and acceleration sensor, which is theoretically derived to prove that it reduced the noise of the velocity signal. Then disturbance rejection control(DRC) is proposed that add VFE into classical levitation control. Because of the high-quality velocity signal and accelerometer's fast responsiveness, it makes DRC have many advantages. The advantages of using the proposed control structure are that it improved the control accuracy of the target gap and resisted disturbance effectively. Air-gap fluctuations in levitation systems can be reduced in transient pulse disturbance test, white noise disturbance test, and external force disturbance test when it applies the proposed control method. The effectiveness and advantages of the proposed control method are verified by the simulation and experiments.

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Adaptive sliding mode control of maglev system based on RBF neural network minimum parameter learning method

Cited by 124 publications

References 26 publications

Tracking and load sway reduction for double‐pendulum rotary cranes using adaptive nonlinear control approach

Tracking and load sway reduction for double‐pendulum rotary cranes using adaptive nonlinear control approach

Design of a Low-Cost Autonomous Controller, Management and Security System for Pico-Hydroelectric Power Plants

Disturbance Rejection Control Using a Novel Velocity Fusion Estimation Method for Levitation Control Systems

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