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Adaptive multimodal PID controller based on RBF neural network for A DSRV | IEEE Conference Publication | IEEE Xplore

Adaptive multimodal PID controller based on RBF neural network for A DSRV


Abstract:

Dynamic positioning system of deep submergence rescue vehicle using conventional PID control can get a good performance in the fixed ocean current. But it is very difficu...Show More

Abstract:

Dynamic positioning system of deep submergence rescue vehicle using conventional PID control can get a good performance in the fixed ocean current. But it is very difficult to achieve the control requirements in the mutative ocean current. In this paper, a novel control algorithm that is integrated RBF neural network with multimodal PID controller is designed, which can automatically adjust the PID parameters when the deep submergence rescue vehicle suffers disturbances of variational ocean current. Simulation shows that this control method can achieve the quite ideal control effect under the mutative ocean current.
Date of Conference: 10-12 August 2010
Date Added to IEEE Xplore: 23 September 2010
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Conference Location: Yantai, China

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