scholarly journals Feedforward Plus Feedback Control of an Electro-Hydraulic Valve System Using a Proportional Control Valve

Actuators ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 45
Author(s):  
Young-Rae Ko ◽  
Tae-Hyoung Kim
Keyword(s):  
Output Feedback ◽  
Control Valve ◽  
Feedback Controller ◽  
Parallel Structure ◽  
Feedback Signal ◽  
Control Input ◽  
Proportional Control ◽  
Valve System ◽  
Model Based ◽  
Hydraulic Valve

The output feedback signal of the electro-hydraulic valve system (EHVS) affects the activation of its right or left envelope function; thus, even weak measurement noise can cause high-frequency switching between the two envelope functions, leading to chattering in the control input. Consequently, feedforward and feedback controllers in a cascaded configuration generate undesirable chattering in the output signal. We propose a practical and reliable control approach for an EHVS actuated by a proportional control valve. The proposed controller has a parallel structure comprising an inverse generalized Prandtl–Ishlinskii (P–I) model-based feedforward controller, with both hydraulic dead-zone and flow saturation limits, for compensating asymmetric hysteretic behavior. Further, the proposed controller comprises a robust proportional-integral-derivative (PID) feedback controller for achieving robustness against disturbances and noises. The proposed parallel structure is independent of the output feedback of the EHVS. Moreover, the proposed robust PID feedback controller guarantees EHVS stability by precisely selecting the cutoff frequency for the sensitivity and complementary sensitivity functions based on the amplitude spectrum of the inverse-model-based feedforward compensation error. The results verify the high reliability of the proposed EHVS control scheme for the precise control of an EHVS actuated by a proportional control valve in practice.

scholarly journals A 2D system approach to the design of a robust modified repetitive-control system with a dynamic output-feedback controller

2014 ◽  
Vol 24 (2) ◽  
pp. 325-334 ◽  
Author(s):  
Lan Zhou ◽  
Jinhua She ◽  
Shaowu Zhou
Keyword(s):  
Control System ◽  
Output Feedback ◽  
Repetitive Control ◽  
Feedback Controller ◽  
Linear Matrix ◽  
Control Input ◽  
Dynamic Output Feedback ◽  
Output Feedback Controller ◽  
Dynamic Output ◽  
Dynamic Output Feedback Controller

Abstract This paper is concerned with the problem of designing a robust modified repetitive-control system with a dynamic output feedback controller for a class of strictly proper plants. Employing the continuous lifting technique, a continuous-discrete two-dimensional (2D) model is built that accurately describes the features of repetitive control. The 2D control input contains the direct sum of the effects of control and learning, which allows us to adjust control and learning preferentially. The singular-value decomposition of the output matrix and Lyapunov stability theory are used to derive an asymptotic stability condition based on a Linear Matrix Inequality (LMI). Two tuning parameters in the LMI manipulate the preferential adjustment of control and learning. A numerical example illustrates the tuning procedure and demonstrates the effectiveness of the method.

Systematic Approach to the Analysis of a Solenoid-Actuated Hydraulic Valve

1972 ◽  
Vol 186 (1) ◽  
pp. 837-844
Author(s):  
J. Korn ◽  
K. Simpson
Keyword(s):  
Systematic Approach ◽  
Dynamic Behaviour ◽  
Control Valve ◽  
Experimental Results ◽  
Analogue Computer ◽  
Valve System ◽  
Directional Control ◽  
Hydraulic Valve ◽  
Directional Control Valve ◽  
Flow States

A spool-type, hydraulic, directional-control valve is considered. The valve has four ports; it is actuated by a solenoid, and its spool overlaps the ports. The valve is looked upon as a system consisting of electrical, mechanical and hydraulic sub-systems. The sub-systems are represented as networks, which are then interconnected to form the network of the complete valve system. Hence a set of independent equations are derived which describe the dynamic behaviour of the valve between no flow and full flow states of the spool. The equations are simulated on an analogue computer to provide comparison with experimental results.

A Two-Stage Model Based Iterative Learning Control Scheme for a Class of MIMO Mismatched Linear Systems

2012 ◽  
Author(s):  
Wenjie Chen ◽  
Masayoshi Tomizuka
Keyword(s):  
Linear Systems ◽  
Iterative Learning Control ◽  
Ad Hoc ◽  
Learning Control ◽  
Iterative Learning ◽  
Feedback Signal ◽  
Control Input ◽  
Model Based ◽  
Control Scheme ◽  
Indirect Drive

This paper discusses the tracking control problem for a class of multi-input-multi-output (MIMO) mismatched linear systems, where there are disturbances in different channels from the control input and the real-time feedback signal is not the output of interest. This mismatch makes it difficult to achieve high tracking performance for the interested output. To address this problem, two model based iterative learning control (ILC) algorithms, namely reference ILC and torque ILC, are designed for different injection locations in the closed loop system. An ad hoc hybrid scheme is proposed to make transitions between the two ILC stages for them to work properly at the same time. The proposed scheme is validated through the experimental study on a single-joint indirect drive system.

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.

Build Height Control in Directed Energy Deposition Using a Model-Based Feed-Forward Controller

2018 ◽  
Author(s):  
Qian Wang ◽  
Jianyi Li ◽  
Abdalla R. Nassar ◽  
Edward W. Reutzel ◽  
Wesley Mitchell
Keyword(s):  
Output Feedback ◽  
Laser Power ◽  
Feedback Controller ◽  
Feed Forward ◽  
Output Feedback Controller ◽  
Model Based ◽  
Real Time Measurement ◽  
Measurement Feedback ◽  
Directed Energy ◽  
Feed Forward Controller

Control of deposition geometry is critical for repair and fabrication of complex components through directed energy deposition (DED). However, current limited sensing technology is often one of the bottlenecks that make it difficult to implement a real-time, measurement-feedback control of build geometry. Hence, this paper proposes to implement the control trajectories from a model-based, simulated-output feedback controller (where the controller uses simulated rather than measured outputs for feedback) as a feed-forward controller in a real DED process. We illustrate the effectiveness of such feed-forward implementation of a model-based, simulated-output feedback controller in the height control of a L-shaped structure via varying laser power in a DED process. Experimental validation shows that by applying the proposed feed-forward controller for laser power, the resulting build has (30%–50%) increased accuracy in achieving the target build height than applying laser with constant power or experience-based, hatch-dependent laser power. Results in this paper indicate that applying a simulated-output feedback controller could be a practical alternative for the control of DED (or other additive manufacturing processes) before the sensing technologies are matured enough to support real-time, measurement-feedback controller.

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