The application of self-tuning fuzzy PID control method to recovering AUV

Zhang, Wei; Wang, Hongtao; Bian, Xinqian; Yan, Zheping; Xia, Guoqing

doi:10.1109/oceans.2012.6404908

Cited by 17 publications

(9 citation statements)

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“…The control structure of the proposed controller is as depicted in Fig. 4 [12]. In this scheme, there is hybrid use of conventional control and fuzzy computing.…”

Section: B Proposed Fuzzy Gain Scheduled Pid Controllermentioning

confidence: 99%

Fuzzy based intelligent frequency control strategy in standalone hybrid AC microgrid

Bisht

Sathans

2014

2014 IEEE Conference on Control Applications (CCA)

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Due to environmental concerns, there is lot of emphasis on the use of renewable energy sources as distribution generation sources for electric power generation. These distributed sources have resulted in the concept of AC/DC micro-grids. But the intermittent nature of these sources cause many control problems and thereby affect the quality of the power within a micro-grid operating in a standalone or grid connected mode. In this paper an AC micro-grid operating in standalone mode and consisting of wind turbine generators (WTGs), solar photovoltaic (PV), diesel engine generators (DEGs), fuel cells (FCs) and battery energy storage system (BESS) has been considered for simulation studies. An intelligent control technique based on fuzzy gain scheduling of the conventional proportional-integral-derivative (PID) controller is proposed for frequency regulation for sudden changes in load or generation power or both. The performance of the fuzzy gain scheduled PID (FGSPID) controller is compared with that of the conventional PID controller for comparative analysis. The simulation results demonstrate the effectiveness of the FGSPID controller in terms of less oscillations and reduced settling time and overshoot.

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“…The control structure of the proposed controller is as depicted in Fig. 4 [12]. In this scheme, there is hybrid use of conventional control and fuzzy computing.…”

Section: B Proposed Fuzzy Gain Scheduled Pid Controllermentioning

confidence: 99%

Fuzzy based intelligent frequency control strategy in standalone hybrid AC microgrid

Bisht

Sathans

2014

2014 IEEE Conference on Control Applications (CCA)

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“…The PID control method is widely used in marine industrial products because of its simple structure and easy operation [17,18], the fuzzy logic control method is renowned for its simplicity, robustness, and antiinterference ability [14,19], and sliding mode control is useful for nonlinear system despite its tendency to cause "tremor" (small, rapid fluctuations in position). Two of these three control methods could be incorporated to control nonlinear systems such as FOS, and such controllers are mainly fuzzy PID controller (F-PID) [20,21] and fuzzy sliding mode controller (F-SMC) [22,23]. To some In the working process, FOS fluctuates with flows and currents at the water depth of 1000 m and may be subject to disturbance forces from flows, currents, sea animals, and other uncertain objects.…”

Section: Introductionmentioning

confidence: 99%

Design of the Depth Controller for a Floating Ocean Seismograph

Huang

Zhang

Ding

et al. 2020

JMSE

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Floating ocean seismograph (FOS) is a vertical underwater vehicle used to detect ocean earthquakes by observing P waves at teleseismic distances in the oceans. With the requirements of rising to the surface and transmitting data to the satellite in real time and diving to the desired depth and recording signals, the depth control of FOS needs to be zero overshoot and accurate with fast response. So far, it remains challenging to implement such depth control due to the variation of buoyancy caused by the seawater density varying with the depth. The deeper the water is, the greater the impacts on buoyancy are. To tackle it, a fuzzy sliding mode controller considering the influence of seawater density change is proposed and simulated in MATLAB/SIMULINK based on the variable buoyancy system and state space function of FOS. Compared with proportional-integral-derivative (PID) controller, fuzzy PID controller and sliding mode controller, the simulation results indicate that the proposed controller shows its superiority regardless of the disturbing force. Its advantages include smaller steady-state error, faster response time, smaller system chatter, and well robustness. This proves that the designed fuzzy sliding mode controller is able to meet the working requirements and thus, lays a foundation for FOS application.

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“…An alternative is the work of Silvestre and Pascoal [ 26 ], where they design linear controllers for different forward velocities and thereafter use a gain scheduling controller to integrate them. Other works focused on using the advantages of gain scheduling controllers, but applying a fuzzy framework to manage them (e.g., [ 27 , 28 ]). However, they use a linguistic interpretation to calculate the parameters of the controller, rather than an analytic procedure.…”

Section: Introductionmentioning

confidence: 99%

New Vectorial Propulsion System and Trajectory Control Designs for Improved AUV Mission Autonomy

Masmitja

González

Galarza

et al. 2018

Sensors

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Autonomous Underwater Vehicles (AUV) are proving to be a promising platform design for multidisciplinary autonomous operability with a wide range of applications in marine ecology and geoscience. Here, two novel contributions towards increasing the autonomous navigation capability of a new AUV prototype (the Guanay II) as a mix between a propelled vehicle and a glider are presented. Firstly, a vectorial propulsion system has been designed to provide full vehicle maneuverability in both horizontal and vertical planes. Furthermore, two controllers have been designed, based on fuzzy controls, to provide the vehicle with autonomous navigation capabilities. Due to the decoupled system propriety, the controllers in the horizontal plane have been designed separately from the vertical plane. This class of non-linear controllers has been used to interpret linguistic laws into different zones of functionality. This method provided good performance, used as interpolation between different rules or linear controls. Both improvements have been validated through simulations and field tests, displaying good performance results. Finally, the conclusion of this work is that the Guanay II AUV has a solid controller to perform autonomous navigation and carry out vertical immersions.

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The application of self-tuning fuzzy PID control method to recovering AUV

Cited by 17 publications

References 0 publications

Fuzzy based intelligent frequency control strategy in standalone hybrid AC microgrid

Fuzzy based intelligent frequency control strategy in standalone hybrid AC microgrid

Design of the Depth Controller for a Floating Ocean Seismograph

New Vectorial Propulsion System and Trajectory Control Designs for Improved AUV Mission Autonomy

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