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

Lee, DongBin; Nataraj, C.

doi:10.1155/2012/846458

Cited by 10 publications

(3 citation statements)

References 11 publications

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“…We have reported broad analytical and experimental studies [1][2][3][4][5][6][7][8][9][10][11][12][13] for both an isolated actuator-valve arrangement and a network of two interconnected solenoid actuated butterfly valves operating in series. A novel third-order nondimensional analytical model of the single solenoid actuated butterfly valve was derived dealing with the coupled nonlinear magnetic, hydrodynamic, and bearing torques [8].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Centralized Approach to Control Chaotic and Hyperchaotic Dynamics of Smart Valves Network

Ashrafiuon

Ayoubi

2017

Journal of Computational and Nonlinear Dynamics

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Catastrophic chaotic and hyperchaotic dynamical behaviors have been experimentally observed in the so-called “smart valves” network, given certain critical parameters and initial conditions. The centralized network-based control of these coupled systems may effectively mitigate the harmful dynamics of the valve-actuator configuration which can be potentially caused by a remote set and would gradually affect the whole network. In this work, we address the centralized control of two bi-directional solenoid actuated butterfly valves dynamically coupled in series subject to the chaotic and hyperchaotic dynamics. An interconnected adaptive scheme is developed and examined to vanish both the chaotic and hyperchaotic dynamics and return the coupled network to its safe domain of operation.

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Section: Introductionmentioning

confidence: 99%

An Adaptive Centralized Approach to Control Chaotic and Hyperchaotic Dynamics of Smart Valves Network

Ashrafiuon

Ayoubi

2017

Journal of Computational and Nonlinear Dynamics

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“…5 Adaptive control (AC) was introduced into solenoid valve controllers for accurate compensation. 16,17 Garvin and Mathew 18 developed a controller for a nonlinear servo valve by root locus analogy, and Chen et al 19 synthesized a throttle valve controller with Nyquist curve. Obviously, these linear design tools cannot address nonlinearity and present poor robustness to parameter uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Adaptive robust control of a high-response dual proportional solenoid valve with flow force compensation

Xiong

Wei

Feng

2014

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article focuses on the high-performance control of a high-response proportional solenoid valve which has two proportional solenoids. The valve is named high-response dual proportional solenoid valve (HDPSV). The HDPSV can achieve faster response than other high-response proportional solenoid valves with one proportional solenoid and has the potential of gaining stronger disturbance rejection due to the differential effect of two proportional solenoids. However, the expense for these advantages is that more complexity and more difficulties are involved in controlling the valve. In this article, the nonlinear dynamic model of the HDPSV is constructed first. The current–force gain of the proportional solenoid is modeled by a modified tanh() function to capture its nonlinear characteristics. An incremental differential allocation strategy is raised to coordinate the action of the two proportional solenoids driving the HDPSV. The model of flow force is built with parametric uncertainty and reconstructed to address its non-differentiability. To deal with the parametric uncertainties and uncertain nonlinearities appearing in the dynamic model of the HDPSV discontinuous projection-based adaptive robust control, which combines systematically backstepping adaptive control with deterministic robust control, is extended to synthesize HDPSV controller. Simulations and experiments are carried out to validate the effectiveness of the controller. Both the simulation and experimental results show that with the proposed adaptive robust controller, the flow forces are well compensated, while the HDPSV achieves disturbance rejection, high precision, fast transient response and broad bandwidth.

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“…Rincon and Angulo (2012) have proposed to use polynomials to approximate the highly nonlinear plants behaviour and developed an adaptive control scheme to control the speed of permanent magnet synchronous motor (PMSM). A nonlinear model-based adaptive control proposed by Lee (2012) is applied for a solenoid-valve system. There are also several successful applications of adaptive control in food science.…”

Section: Adaptive Controlmentioning

confidence: 99%

Advanced Process Control with Applications in the Food Industry

Meng¹

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Due to the requirements for enhanced food safety and different nutrient demand for customers, food process control is becoming an increasingly important issue in the food industry. Many advanced control methods, like adaptive control, predictive control, robust control and fuzzy logic control, have attracted increasing attention and there are many successful applications in the manufacture of dairy products in the last two decades. Applying a multi-effect falling film evaporator to remove the water from the liquid is widely used in the dairy industry. This thesis addresses some key issues concerning dairy evaporation process control which include system modelling, controller development and optimization as well as the results comparison. Fundamentally, this thesis presents a study of three effects of falling film evaporator for the milk concentration process in the dairy industry as an example. The main aim, however, is to research, develop and demonstrate different advanced control strategies, such as model predictive control (MPC) and fuzzy logic control (FLC), applied to the evaporator system for the process control purposes. They both can deal with the complex non-linear processes. But MPC can maintain the system consistency, FLC has a simple control structure and more flexiable control rules. A dynamic mathematical model of a three-effect falling film evaporator is developed by using MATLAB based on the mass and energy balance principles in this thesis for analysing the optimization and controllability of the plant. Both conventional and advanced controllers, such as conventional PID, auto-tuning PID, Model predictive control (MPC), Fuzzy logic, are described to maintain and improve the mathematical model performances. The product output concentration controlled by different strategies are obtained and compared. The results indicate that all controllers can achieve the desired targets (30%, 38% and 52% for the 1st, 2nd, and 3rd effect) within limits of acceptability, however, MPC is the most competitive advanced control strategy in this milk evaporation process.

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

Cited by 10 publications

References 11 publications

An Adaptive Centralized Approach to Control Chaotic and Hyperchaotic Dynamics of Smart Valves Network

An Adaptive Centralized Approach to Control Chaotic and Hyperchaotic Dynamics of Smart Valves Network

Adaptive robust control of a high-response dual proportional solenoid valve with flow force compensation

Advanced Process Control with Applications in the Food Industry

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