A water pumping control system with a programmable logic controller (PLC) and industrial wireless modules for industrial plants—An experimental setup

Bayındır, Ramazan; Çetinceviz, Yücel

doi:10.1016/j.isatra.2010.10.006

Cited by 101 publications

(44 citation statements)

References 31 publications

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“…Zhang et al [27] used fuzzy control to automatically adjust climatic parameters, such as temperature and relative humidity, according to the needs of crops growth. In [28] the authors establish a dynamic ventilation control system and study the fuzzy temperature control systems based on programmable logic controller (PLC) and industrial wireless local area network technologies.…”

Section: A Preliminary Greenhouse Analysismentioning

confidence: 99%

An Innovative Adaptive Control System to Regulate Microclimatic Conditions in a Greenhouse

2017

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Abstract:In the recent past home automation has been expanding its objectives towards new solutions both inside the smart home and in its outdoor spaces, where several new technologies are available. This work has developed an approach to integrate intelligent microclimatic greenhouse control into integrated home automation. Microclimatic control of greenhouses is a critical issue in agricultural practices, due to often common sudden daily variation of climatic conditions, and to its potentially detrimental effect on plant growth. A greenhouse is a complex thermodynamic system where indoor temperature and relative humidity have to be closely monitored to facilitate plant growth and production. This work shows an adaptive control system tailored to regulate microclimatic conditions in a greenhouse, by using an innovative combination of soft computing applications. In particular, a neural network solution has been proposed in order to forecast the climatic behavior of greenhouse, while a parallel fuzzy scheme approach is carried out in order to adjust the air speed of fan-coil and its temperature. The proposed combined approach provides a better control of greenhouse climatic conditions due to the system's capability to base instantaneous solutions both on real measured variables and on forecasted climatic change. Several simulation campaigns were carried out to perform accurate neural network and fuzzy schemes, aimed at obtaining respectively a minimum forecasted error value and a more appropriate fuzzification and de-fuzzification process. A Matlab/Simulink solution implemented with a combined approach and its relevant obtained performance is also shown in present study, demonstrating that through controlled parameters it will be possible to maintain a better level of indoor climatic conditions. In the present work we prove how with a forecast of outside temperature at the next time-instant and rule-based controller monitoring of cooling or heating air temperatures and air velocities of devices that regulate the indoor micro-climate inside, a better adjustment of the conditions of comfort for crops is achievable.

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Section: A Preliminary Greenhouse Analysismentioning

confidence: 99%

An Innovative Adaptive Control System to Regulate Microclimatic Conditions in a Greenhouse

2017

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“…Siemens S7 313C Compact PLC and ET 200S distributed I/O system was used in [14]. The conversion time of 6ES7134-4JD00-0AB0 electronic module for ET 200S is 55 ms per channel.…”

Section: Plc Scan Time Minimizationmentioning

confidence: 99%

Design of parallel conversion multichannel analog to digital converter for scan time reduction of programmable logic controller using FPGA

Dhanabalan¹,

Selvi²

2015

Computer Standards & Interfaces

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“…New PLC instructions are developed to add intelligence to a controller. Knowledge-based instructions and process learning-type methodologies may be combined to enhance the capabilities of a system [8].…”

Section: State Of the Artmentioning

confidence: 99%

Optimal control of storage system based on intelligent techniques

Tsagaris

2014

2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR)

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In order to obtain high productivity industrial automatic storage systems should complete the storage tasks in minimum of time with the maximum of performance. Optimization is the key point of this problem. This paper proposes a method for intelligent storage system, which optimizes the storing process by deciding the optimum slot that an object will occupy in a warehouse. Depending on the weight, each object has to be stored in a different space. The method is based on genetic algorithm. Genetic algorithms are used in order to optimise the allocation of storage slots at the shortest time. The duration of storage is monitored and used as feedback to the system so as to optimize the algorithm. The system is integrated with PLC and custom SCADA system which gathered the necessary information from the PLC via an OPC server. Any delay of the system is taken into account using feedback of the completion time, so that the operation error is introduced in the application, which is trained to improve its operation in the next loop. The proposed framework improves the placement of objects in specific warehouse slots.

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A water pumping control system with a programmable logic controller (PLC) and industrial wireless modules for industrial plants—An experimental setup

Cited by 101 publications

References 31 publications

An Innovative Adaptive Control System to Regulate Microclimatic Conditions in a Greenhouse

An Innovative Adaptive Control System to Regulate Microclimatic Conditions in a Greenhouse

Design of parallel conversion multichannel analog to digital converter for scan time reduction of programmable logic controller using FPGA

Optimal control of storage system based on intelligent techniques

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