JOURNAL ARTICLE

Improved filtered-ε adaptive inverse control and its application on nonlinear ship maneuvering

Gang DuXingqun ZhanWeiming ZhangShan Zhong

Year: 2006 Journal:   Journal of Systems Engineering and Electronics Vol: 17 (4)Pages: 788-792   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The drawbacks of common nonlinear Filtered-∊ adaptive inverse control (AIC) method, such as the unreliability due to the change of delay time and the faultiness existing in its disturbance control loop, are discussed. Based on it, the diagram of AIC is amended to accommodate with the characteristic of nonlinear object with time delay. The corresponding Filtered — adaptive algorithm based on RTRL is presented to identify the parameters and design the controller. The simulation results on a nonlinear ship model of “The R.O.V Zeefakkel” show that compared with the previous scheme and adaptive PID control, the improved method not only keeps the same dynamic response performance, but also owns higher robustness and disturbance rejection ability, and it is suitable for the control of nonlinear objects which have higher requirement to the maneuverability under complex disturbance environment.

Keywords:
Control theory (sociology) Nonlinear system Robustness (evolution) Inverse Computer science PID controller Disturbance (geology) Adaptive control Control engineering Control (management) Engineering Mathematics Temperature control Artificial intelligence

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Citation History

Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Sensor and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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