Wind Shear Encountered Landing Control Based on CMACs

This paper presents an intelligent control scheme that uses different cerebellar model articulation controllers (CMACs) in aircraft automatic landing control. The proposed intelligent control system can act as an experienced pilot and guide the aircraft landed safely in wind shear condition. Lyapunov theory is applied to obtain adaptive learning rule and stability analysis is also provided. Furthermore, the proposed controllers are implemented in a DSP. The simulations by MatLab are demonstrated.

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Aircraft landing control in wind shear condition

2011 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2011.6016885 ◽

2011 ◽

Cited By ~ 2

Author(s):

Chia-Lin Lee ◽

Jih-Gau Juang

Keyword(s):

Wind Shear ◽

Aircraft Landing ◽

Shear Condition ◽

Landing Control

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An Adaptive Hierarchical Sliding Mode Controller for Autonomous Underwater Vehicles

Electronics ◽

10.3390/electronics10182316 ◽

2021 ◽

Vol 10 (18) ◽

pp. 2316

Author(s):

Quang Van Vu ◽

Tuan Anh Dinh ◽

Thien Van Nguyen ◽

Hoang Viet Tran ◽

Hai Xuan Le ◽

...

Keyword(s):

Adaptive Learning ◽

Autonomous Underwater Vehicle ◽

Sliding Mode ◽

Autonomous Underwater Vehicles ◽

Lyapunov Theory ◽

Control Technique ◽

External Disturbances ◽

Control Scheme ◽

Hierarchical Sliding Mode ◽

Over Time

The paper addresses a problem of efficiently controlling an autonomous underwater vehicle (AUV), where its typical underactuated model is considered. Due to critical uncertainties and nonlinearities in the system caused by unavoidable external disturbances such as ocean currents when it operates, it is paramount to robustly maintain motions of the vehicle over time as expected. Therefore, it is proposed to employ the hierarchical sliding mode control technique to design the closed-loop control scheme for the device. However, exactly determining parameters of the AUV control system is impractical since its nonlinearities and external disturbances can vary those parameters over time. Thus, it is proposed to exploit neural networks to develop an adaptive learning mechanism that allows the system to learn its parameters adaptively. More importantly, stability of the AUV system controlled by the proposed approach is theoretically proved to be guaranteed by the use of the Lyapunov theory. Effectiveness of the proposed control scheme was verified by the experiments implemented in a synthetic environment, where the obtained results are highly promising.

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Information Fusion Technology and its Application to Intelligent Control System of Ceramic Kiln

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.308-310.1525 ◽

2011 ◽

Vol 308-310 ◽

pp. 1525-1530

Author(s):

Yong Hong Zhu ◽

Xiao Hong Zhang

Keyword(s):

Control System ◽

Intelligent Control ◽

Information Fusion ◽

System Control ◽

Fusion Technology ◽

Work Process ◽

Intelligent Control System ◽

Layer Structures ◽

Control Scheme ◽

Sensor Information

This paper applies multi-sensor information fusion technology to intelligent control system of ceramic kiln and proposes a corresponding control scheme. The control scheme is composed of six-layer structures which include four subsystems. Then, compositions, functions and adoptive algorithms of the four subsystems are analyzed. In the end, the whole system control scheme and its work process are analyzed.

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Linear Motor Intelligent Control System Based on LabVIEW

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.610.493 ◽

2014 ◽

Vol 610 ◽

pp. 493-496

Author(s):

Wei Na Liu ◽

Dong Nan Su ◽

Jun Ying Ma ◽

Li Feng Yang

Keyword(s):

Control System ◽

Intelligent Control ◽

Virtual Instrument ◽

Linear Motor ◽

Technology System ◽

Development Platform ◽

Intelligent Control System ◽

Control Scheme ◽

Motor Design ◽

Instrument Technology

In order to realize the industrial computer can control automatic adjustment of linear motor, design the linear motor control scheme based on virtual instrument technology. System driven by the control card of GE series, based on the LabVIEW development platform, realizes the intelligent control of linear motor.

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Human Simulated Intelligent Control for Permanent Magnet Synchronous Motor

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.241-244.1821 ◽

2012 ◽

Vol 241-244 ◽

pp. 1821-1827 ◽

Cited By ~ 2

Author(s):

Peng Xu ◽

Jian Xiao ◽

Shan Li ◽

Yi Yang

Keyword(s):

Permanent Magnet ◽

Intelligent Control ◽

Control Method ◽

Permanent Magnet Synchronous Motor ◽

Synchronous Motor ◽

Tracking Errors ◽

Intelligent Control System ◽

Speed Tracking ◽

Control Scheme ◽

Self Tuning

This paper proposes a new speed control scheme for a Permanent Magnet Synchronous Motor(PMSM) by means of multi-mode control method,Human Simulate Intelligent Control. Similar to hierarchical intelligent control system,the proposed controller for PMSM is composed of three sections,Task Adapter Level (TA), Self-Tuning Level (ST) and Master Controller Level (MC).Simulation results clearly show that the controller guarantees the speed tracking errors asymptotically converge to zero despite time varying reference speed and load torque disturbance variation.Numerical simulations reveal the superiority of the proposed controller to traditional PI.

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