scholarly journals GoRoSoBo: an overall control diagram to improve the efficiency of water transport systems in real time

2017 ◽  
Vol 19 (3) ◽  
pp. 364-384 ◽  
Author(s):  
Enrique Bonet ◽  
Manuel Gómez ◽  
M. T. Yubero ◽  
J. Fernández-Francos

Agriculture plays an important part in the food chain and water resources for agriculture are essential. A problem is that the water transport systems present low efficiencies in practice. Crop yields must be optimized, and the goal of an operational water manager is to deliver water to irrigation sites accurately and efficiently. In order to fulfill this objective, we propose a centralized overall control diagram to optimize the management of the canal. Our control diagram in real time is mainly composed of two algorithms, CSE and GoRoSoBo. The first one is a powerful tool in canal management, and is able to estimate the real extracted flow in the canal and the hydrodynamic canal state from measured level data at selected points. The second one is an essential tool in the management of the canal, a feedback control algorithm operating in real time. The GoRoSoBo algorithm (Gómez, Rodellar, Soler, Bonet) is able to calculate the optimum gates trajectories for a predictive horizon taking into account the current canal state and the real extracted flow, both obtained by CSE.

2014 ◽  
Vol 1006-1007 ◽  
pp. 679-684
Author(s):  
Xue Fei Huang ◽  
Mao Pang

According to large energy consumption, overload and re-reflection problemr, the control algorithm of wave-maker has been improved based on Jonswap spectrum. The control algorithm is comprised of the offline calculation of the control waveform and the real-time governing of the wave paddle. Offline algorithm is implemented on a personal computer, whereas paddle control is realized on a programmable automation controller. The experiments results show that the speed is continuous and stable, change rate of load has been optimized obviously and achieves the purpose of energy saving.


2014 ◽  
Vol 644-650 ◽  
pp. 735-740
Author(s):  
Yu Ling Ye

An engineering buoyancy control scheme was proposed to compensate the change of residual buoyancy for low-speed under-actuated AUVs. The buoyancy control system is made up of buoyancy controller and two sets of buoyancy control devices include: water tank, sea water pump, valve grouping, pipeline etc. Buoyancy control devices were configured to both head and tail part of the AUV symmetrical to its buoyant center. Depth control algorithm and buoyancy control algorithm were proposed separately. In the process of voyage at a constant depth, the real time speed, pitch angle and depth error were detected to evaluate the residual buoyancy indirectly, and then the real time buoyancy control was executed by pumping the water into or out of the tanks. The buoyancy control scheme was applied to the type of low-speed under-actuated AUV and simulation and experiments results show that the buoyancy control approach and the control laws are feasible and effective.


2019 ◽  
Vol 21 (6) ◽  
pp. 945-961
Author(s):  
Enrique Bonet ◽  
Manuel Gómez ◽  
M. T. Yubero ◽  
J. Fernández-Francos

Abstract An irrigation canal is a hydraulic system whose main objective is to convey water from a source (dam, river) to different users. Such systems can be very large (several tens or hundreds of kilometers), characterized by time delays and non-linear dynamics, strong unknown perturbations and interactions among subsystems. In order to fulfill the requirements of canal users, the water manager must control all water deliveries during the irrigation cycle (or irrigation program) calculating the gate positions of the canal according to the water demands in real time. Initially, our overall control diagram in real time is mainly represented by two algorithms, the canal survey estimation algorithm (this algorithm estimates the water level and velocity along the irrigation canal during a past time horizon) and GoRoSoBo algorithm (feedback control algorithm operating in real time). Regarding long canals with several gates and pumps operating in a short period of time for a long predictive horizon, the initial version of GoRoSoBo algorithms would spend too much time calculating the canal gate position in real time. This is the reason why we have upgraded the code of the GoRoSoBo algorithm, saving in computational time around 85%, in order to operate in real time.


2011 ◽  
Vol 383-390 ◽  
pp. 5923-5927 ◽  
Author(s):  
Lu Zhang ◽  
Qiu Hong Song

To depend on the development platform of the smart car contest, a smart car servosystem, based on Freescale 16-bit HCS12 micro-controller MC9S12XS128, is designed in this paper. The system uses the low-power CMOS digital camera OV6620 to obtain the real-time track information, and extracts the black line on the contest lane with the edge detection method to calculate the position deviation between the car and the black line, with the purpose of distinguishing the different shape of the lane. The nonlinear PD control algorithm for the steering control was given in this paper. Through the photo electrical encoder named YZ30D4S-2NA-200 to attain the real-time car speed, the system uses the nonlinear P strategy to achieve the speed closed-loop control. It is proved that the servosystem can achieve the automatic line patrol control, so as to make the smart car drive stably and quickly.


2014 ◽  
Author(s):  
Irving Biederman ◽  
Ori Amir
Keyword(s):  

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.


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