Depth Control Method of Profiling Float Based on an Improved Double PD Controller

A kinematic equation of profiling float is nonlinear and has time-varying parameters. Traditional PD controllers not only demonstrate an inconsistent response to different depth controls but also face problems of overshooting and high power consumption. To realize the goal of depth control of profil...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.43258-43268
Main Authors: Mu, Weilei, Zou, Zhenxing, Liu, Guijie, Yang, Yousheng, Shi, Lei
Format: Article
Language:English
Subjects:
Buoyancy
Control methods
Control stability
Controllers
depth control
double PD controller
Gravity
Kinematic equations
Kinematics
low power consumption
PD control
Position sensing
Power consumption
Power management
Profiling float
Resistance
Response time
Underwater vehicles
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Summary:A kinematic equation of profiling float is nonlinear and has time-varying parameters. Traditional PD controllers not only demonstrate an inconsistent response to different depth controls but also face problems of overshooting and high power consumption. To realize the goal of depth control of profiling buoy under low power consumption, an improved double PD control method was proposed in this paper. The real-time prediction of position and low-power running of the sensor were realized through sparse sampling and depth prediction. The combination control over position, speed, and flow was realized by introducing the speed and flow expectation function. Then, a MATLAB/Simulink simulation model was constructed, and the proposed controller was compared with a single PD controller and an improved single PD controller. Among ten depth control tests, the proposed method was superior given its short response time, small overshooting, small steady-state error, and low power consumption. Moreover, it achieved a consistent control effect on different target depths. The simulation results demonstrated that a nonlinear and time-varying floating system controlled by the proposed method has favorable robustness and stability. This system will consume minimal power simultaneously.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2904626