TRANSIENT MODEL AND ENERGY ASSESSMENT OF A DIGITAL SOLENOID VALVE SYSTEM FOR A MAGNETIC REFRIGERATOR

2016 ◽  
Author(s):  
Pedro Cardoso ◽  
Mário Cesar Destro ◽  
Manoel Guidi Alvares ◽  
Jaime Lozano ◽  
Victor Juliano De Negri ◽  
...  
Keyword(s):  
Solenoid Valve ◽  
Transient Model ◽  
Valve System ◽  
Magnetic Refrigerator ◽  
Energy Assessment

Electronic Moisture Sensor for Maintaining Herbicide Solution on a Roller Applicator

Weed Science ◽  
1979 ◽  
Vol 27 (5) ◽  
pp. 559-561 ◽  
Author(s):  
J. S. Schepers ◽  
O. C. Burnside
Keyword(s):  
Solenoid Valve ◽  
Spray Drift ◽  
Moisture Sensor ◽  
Valve System ◽  
Spray Solution

Other research has shown that a roller applicator can selectively control weeds that protrude above the crop, conserve over 80% of the herbicide, eliminate spray drift and splash, and obviate recirculation of the spray solution. The carpet on the roller applicator must be moist enough to transfer ample herbicide to the weeds it contacts but dry enough to prevent dripping of herbicide solution from the carpet. An electronic moisture sensor and solenoid valve system was designed to permit operation of the roller applicator through various weed densities while automatically maintaining a proper level of herbicide solution in the carpet of the roller.

scholarly journals Nonlinear Dynamic Model-Based Adaptive Control of a Solenoid-Valve System

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
DongBin Lee ◽  
Peiman Naseradinmousavi ◽  
C. Nataraj
Keyword(s):  
Adaptive Control ◽  
Dynamic Model ◽  
Nonlinear Model ◽  
Nonlinear Dynamic ◽  
Solenoid Valve ◽  
Projection Algorithm ◽  
Control Input ◽  
Control Approach ◽  
Valve System ◽  
Model Based

In this paper, a nonlinear model-based adaptive control approach is proposed for a solenoid-valve system. The challenge is that solenoids and butterfly valves have uncertainties in multiple parameters in the nonlinear model; various kinds of physical appearance such as size and stroke, dynamic parameters including inertia, damping, and torque coefficients, and operational parameters especially, pipe diameters and flow velocities. These uncertainties are making the system not only difficult to adjust to the environment, but also further complicated to develop the appropriate control approach for meeting the system objectives. The main contribution of this research is the application of adaptive control theory and Lyapunov-type stability approach to design a controller for a dynamic model of the solenoid-valve system in the presence of those uncertainties. The control objectives such as set-point regulation, parameter compensation, and stability are supposed to be simultaneously accomplished. The error signals are first formulated based on the nonlinear dynamic models and then the control input is developed using the Lyapunov stability-type analysis to obtain the error bounded while overcoming the uncertainties. The parameter groups are updated by adaptation laws using a projection algorithm. Numerical simulation results are shown to demonstrate good performance of the proposed nonlinear model-based adaptive approach and to compare the performance of the same solenoid-valve system with a non-adaptive method as well.

Nonlinear Model-Based Adaptive Control of a Solenoid-Valve System

2010 ◽  
Author(s):  
DongBin Lee ◽  
C. Nataraj ◽  
Peiman Naseradinmousavi
Keyword(s):  
Dynamic Models ◽  
Controller Design ◽  
Current Source ◽  
Solenoid Valve ◽  
Projection Algorithm ◽  
Control Input ◽  
Valve System ◽  
Multiple Parameters ◽  
Model Based ◽  
Control Objective

In this paper, a model-based control algorithm is developed for a solenoid-valve system. Solenoids and butterfly valves have uncertainties in multiple parameters in the model, which make the system difficult to adjust to the environment. These are further complicated by combining the solenoid and butterfly dynamic models. The control objective of a solenoid-valve system is to position the angle of the butterfly valve through the electric-driven actuator in spite of the complexity presented by uncertainties. The novelty of the controller design is that the current source of the solenoid valve from the model of the electromagnetic force is substituted for the control input in order to reach the set-point of the butterfly disk based on the error signals, overcoming the uncertainties represented by lumped parameters groups, and a stable controller is designed via the Lyapunov-based approach for the stability of the system and obtaining the control objective. The parameter groups are updated by adaptation laws using a projection algorithm. Numerical simulation is shown to demonstrate good performance of the proposed approach.

Model-Based Adaptive Control for a Solenoid-Valve System

2010 ◽  
Author(s):  
C. ‘Nat’ Nataraj ◽  
DongBin Lee
Keyword(s):  
Adaptive Control ◽  
Dynamic Models ◽  
Solenoid Valve ◽  
Projection Algorithm ◽  
Electric Signal ◽  
Control Input ◽  
Butterfly Valve ◽  
Set Point ◽  
Valve System ◽  
Model Based

In this paper, a model-based control algorithm is developed for a solenoid-valve system. The electric-driven machinery system and its sophisticated control give high levels of automation on huge systems such as ships and submarines. It is known that the characteristics between the force versus displacement and fluid dynamics are strongly nonlinear. The system has uncertainties in multiple parameters in the model, which make the system difficult to adjust to the environment and consequently require adaptation for sustainability and capability. The novelty of this research is that the uncertain nonlinear dynamics of the solenoid-valve system is simplified by formulating in dimensionless form. The non-dimensional control approach of the unknown bounded parameters which is approximately twenty parameter groups used in general adaptive control of the solenoid-butterfly valve system dramatically reduced to just four lumped parameter groups. The control objective is to the set-point of the solenoid-valve and accordingly control the angle position of the butterfly valve in spite of the complications presented by the uncertainties in the dynamic model. The estimated parameters are updated by the adaptation laws using the projection algorithm. After combining the translational and rotational dynamic models, the control input is designed by substituting the electric signal such as current from the model of electromagnetic force. Error signals of the trajectory tracking are developed for the solenoid-valve system. A closed-loop stable controller is designed based on the above error dynamics of the nonlinear solenoid-valve system utilizing Lyapunov-type stability which yields a stable result while obtaining the set-point objective.

1 Year Results after Minimal Access AVR with the EDWARDS INTUITY Valve System

2015 ◽  
Vol 63 (S 01) ◽  
Author(s):  
M. Schlömicher ◽  
P. Haldenwang ◽  
V. Moustafine ◽  
M. Bechtel ◽  
J. Strauch
Keyword(s):  
Minimal Access ◽  
Valve System

Evaluation of Distribution Network Customer Outage Costs

2009 ◽  
Vol 25 (25) ◽  
pp. 7-12 ◽  
Author(s):  
Laila Zemīte ◽  
Jānis Gerhards
Keyword(s):  
Distribution Network ◽  
Mean Value ◽  
Estimation Model ◽  
Energy Assessment ◽  
Calculation Results ◽  
Rate Calculation

Evaluation of Distribution Network Customer Outage CostsCustomer outage cost criteria are considered, collected and analyzed outage costs in Latvia distribution network, as well as distribution network outage elimination structure, the most common outage causes, are proposed outage costs estimation model. Finally the discussion of results of expected customer outage costs and interrupted energy assessment rate calculation results in Latvia distribution network in 2007 are presented, based on customers' mean value of incomes, outcomes and profitability.

DESIGN AND EXPERIMENTAL VALIDATION OF A FLUID FLOW MANAGEMENT SYSTEM BASED ON SOLENOID VALVES FOR A LARGE MAGNETIC REFRIGERATOR

2020 ◽  
Author(s):  
Diego dos Santos ◽  
Sergio Luiz Dutra ◽  
Guilherme Fidelis Peixer ◽  
Jaime Lozano ◽  
Jader Barbosa ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Management System ◽  
Experimental Validation ◽  
Flow Management ◽  
Magnetic Refrigerator
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