A LabVIEW based submarine depth control simulator with PID and fuzzy controller

Ekici, Mehmet; Kahveci, Hakan; Akpınar, Adem

doi:10.1109/inista.2013.6577627

Cited by 4 publications

(5 citation statements)

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“…This section investigates the performance of one stage servomechanism system using both the enhanced nonlinear PID controller and the linear PID controller where the obtained parameters using harmony search will be applied in each control technique [21], [23]. Figure 12 shows the performance of one stage servomechanism drive system with each control technique at a constant preselected position reference test where the reference of stage position will be adjusted to 7 inches.…”

Section: Experimental and Simulation Resultsmentioning

confidence: 99%

“…The front panel is the interactive user interface of a VI [20]. It can contain knobs, push buttons, graphs and many other controls and indicators [21]. The second is the block diagram.…”

Section: )mentioning

confidence: 99%

“…The main idea of the program design is to create the VI that can generate the analog output signal to control the instrument or experiment and collect the analog input signal from the experiment at the same time. The details of requirements in the signal generation part and the data acquisition part are described in the following paragraph [20], [21].…”

Section: )mentioning

confidence: 99%

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Real-time implementation of an enhanced nonlinear PID controller based on harmony search for one-stage servomechanism system

Shamseldin

Sallam

Bassiuny

et al. 2018

JMES

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This paper presents a real-time implementation of an enhanced nonlinear PID (NPID) controller to follow a preselected position profile of one stage servomechanism drive system. This purpose should be realized regardless the different operating points and external disorders (friction and backlash). In this study, the MATLAB Simulink used for purpose of controller design while the result from simulation will be executed in real time using LABVIEW software. There is not enough information about the servomechanism experimental setup so, the system identification techniques will be used via collecting experimental input/output data. The optimum parameters for the controllers have been obtained via harmony search optimization technique according to an effective cost function. Also, the performance of enhanced NPID controller has been investigated by comparing it with linear PID controller. The experimental and simulation results show that the proposed NPID controller has minimum rise time and settling time through constant position reference test. Also, the NPID control is faster than the linear PID control by 40% in case of variable position reference test.

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Section: Experimental and Simulation Resultsmentioning

confidence: 99%

“…The front panel is the interactive user interface of a VI [20]. It can contain knobs, push buttons, graphs and many other controls and indicators [21]. The second is the block diagram.…”

Section: )mentioning

confidence: 99%

Section: )mentioning

confidence: 99%

See 1 more Smart Citation

Real-time implementation of an enhanced nonlinear PID controller based on harmony search for one-stage servomechanism system

Shamseldin

Sallam

Bassiuny

et al. 2018

JMES

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“…One category is the theoretical calculation tuning, which is mainly calculating controller parameters based on the mathematical model of the system [5] . Data obtained by this method can not be directly used until it is adjusted and modified in the actual industrial process.…”

Section: Pid Control Methods and Self-tuning Technologymentioning

confidence: 99%

Design of self-tuning PID controller with fuzzy variable parameters based on LabView

Liu

2015

2015 IEEE International Conference on Information and Automation

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In industrial production PID control technology is still in a dominant position. But the PID controllers without welltuned parameters will seriously affect, resulting in a large waste of resources as well as lack of efficiency and safety of production. Instead of manual tuning, modern complex industrial process demands a common computing program to get the tuning task done, so the self-tuning PID technology make a huge progress. Still the limitation of correspondence is hard to overcome.In this paper, a design of PID auto-tuning procedure based on LabView is introduced to solve this problem, which is compatible of the majority of communication with VISA interface. Selecting fuzzy tuning as the self-tuning method, it carries out real-time PID controller parameter tuning according to fuzzy rules. This article firstly accomplishes the design and simulation of process control with LabView toolkit, and then the practical temperature control of Zirconia Oxygen analyzer. The outcome verifies the capability and operability of the design.

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“…The dynamics of a submarine is non-linear and complex, whose operating conditions change according to sea currents, depth variation, among other factors [8]. Some works as in [8,9] provide intelligent control techniques applied to submarine control, such as the fuzzy controller, which is used in [8] for submarine steering control, and in [9] for control of the submarine depth. Based on this context, the objective of this project is to implement a FLC that is effective and robust, through the use of a model rule base and techniques for controller improvement that resemble those used in PID tuning, with the advantage of perform a non-linear controller.…”

Section: Introductionmentioning

confidence: 99%