Motion synchronization in a dual redundant HA/EHA system by using a hybrid integrated intelligent control design

Rehman, Waheed Ur; Wang, Shaoping; Wang, Xingjian; Fan, Lei; Shah, Kamran

doi:10.1016/j.cja.2015.12.018

Cited by 30 publications

(13 citation statements)

References 26 publications

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“…First, the mathematical model of the electrohydraulic flow control servo valve is derived. The second-order mathematical model of the servo valve may be described as follows [32,33]…”

Section: Mathematical Modelmentioning

confidence: 99%

Model-Based Design Approach to Improve Performance Characteristics of Hydrostatic Bearing Using Multivariable Optimization

et al. 2021

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Research in the field of tribo-mechatronics has been gaining popularity in recent decades. The objective of the current research is to improve static/dynamics characteristics of hydrostatic bearings. Hydrostatic bearings always work in harsh environmental conditions that effect their performance, and which may even result in their failure. The current research proposes a mathematical model-based system for hydrostatic bearings that helps to improve its static/dynamic characteristics under varying conditions of performance-influencing variables such as temperature, spindle speed, external load, and clearance gap. To achieve these objectives, the capillary restrictors are replaced with servo valves, and a mathematical model is developed along with robust control design systems. The control system consists of feedforward and feedback control techniques that have not been applied before for hydrostatic bearings in the published literature. The feedforward control tries to remove a disturbance before it enters the system while feedback control achieves the objective of disturbance rejection and improves steady-state characteristics. The feedforward control is a trajectory-based controller and the feedback controller is a sliding mode controller with a PID sliding surface. The particle swarm optimization algorithm is used to tune the 6-dimensional vector of the tuning parameters with multi-objective performance criteria. Numerical investigations have been carried out to check the performance of the proposed system under varying conditions of viscosity, clearance gap, external load and the spindle speed. The comparison of our results with the published literature shows the effectiveness of the proposed system.

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“…First, the mathematical model of the electrohydraulic flow control servo valve is derived. The second-order mathematical model of the servo valve may be described as follows [32,33]…”

Section: Mathematical Modelmentioning

confidence: 99%

Model-Based Design Approach to Improve Performance Characteristics of Hydrostatic Bearing Using Multivariable Optimization

et al. 2021

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“…Its dynamic characteristics can be presented as first order to higher order transfer function. 36–41 Servo valve controls the flow. The factors like frequency, gain, and damping are acquired from manufacturers.…”

Section: Modeling For Active Hydrostatic Journal Bearing Systemmentioning

confidence: 99%

“…Let’s suppose nonlinearities are ignored to derive mathematical model for electrohydraulic servo valve (EHSV). A mathematical relationship is derived in Rehman et al 38,39 to describe current which basically. represents input ( u ir ) with spool valve displacement ( x vi ) that is given by:…”

Section: Modeling For Active Hydrostatic Journal Bearing Systemmentioning

confidence: 99%

Fuzzy logic–based intelligent control for hydrostatic journal bearing

Rehman

Luo

Wang

et al. 2019

Measurement and Control

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Most of the researchers are focusing to bring automation in mechanical systems. So, current research work presents a mechatronic system called active hydrostatic journal bearing that is a higher demand of fast-growing industrial needs. The objective is to improve the dynamics and static characteristics of hydrostatic journal bearing. To achieve the objective, a feedback servo controlled system is presented. A mathematical model is proposed for newly proposed active hydrostatic journal bearing with servo control. A comparison has been performed between the active hydrostatic journal bearing and traditional/conventional hydrostatic journal bearing under the influence of different dynamic conditions of load, viscosity, speed, and pressure. The results demonstrate that proposed active hydrostatic journal bearing has better performance, including controllability, stability, faster response, higher stiffness as well as better disturbance rejection. To further enhance the performance of proposed active hydrostatic journal bearing, two different control strategies are proposed such as proportional–integral–derivative and intelligent control. The results show that fuzzy logic–based intelligent control has faster response, greater amplitude reduction, and good stiffness against load. So, it shows that role of active lubrication in hydrostatic journal bearing will have potential applications in high load and high speed.

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“…The desired motion trajectories are set by the trajectory generator [ 18 ] which is a second-order transfer function given as:

where the reference damping factor

and the reference frequency

are two design parameters of the trajectory generator.…”

Section: Dynamic Models and Problem Formulationmentioning

confidence: 99%

Linear Extended State Observer-Based Motion Synchronization Control for Hybrid Actuation System of More Electric Aircraft

Wang

Shi

et al. 2017

Sensors

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Moving towards the more electric aircraft (MEA), a hybrid actuator configuration provides an opportunity to introduce electromechanical actuator (EMA) into primary flight control. In the hybrid actuation system (HAS), an electro-hydraulic servo actuator (EHSA) and an EMA operate on the same control surface. In order to solve force fighting problem in HAS, this paper proposes a novel linear extended state observer (LESO)-based motion synchronization control method. To cope with the problem of unavailability of the state signals required by the motion synchronization controller, LESO is designed for EHSA and EMA to observe the state variables. Based on the observed states of LESO, motion synchronization controllers could enable EHSA and EMA to simultaneously track the desired motion trajectories. Additionally, nonlinearities, uncertainties and unknown disturbances as well as the coupling term between EHSA and EMA can be estimated and compensated by using the extended state of the proposed LESO. Finally, comparative simulation results indicate that the proposed LESO-based motion synchronization controller could reduce significant force fighting between EHSA and EMA.

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Motion synchronization in a dual redundant HA/EHA system by using a hybrid integrated intelligent control design

Cited by 30 publications

References 26 publications

Model-Based Design Approach to Improve Performance Characteristics of Hydrostatic Bearing Using Multivariable Optimization

Model-Based Design Approach to Improve Performance Characteristics of Hydrostatic Bearing Using Multivariable Optimization

Fuzzy logic–based intelligent control for hydrostatic journal bearing

Linear Extended State Observer-Based Motion Synchronization Control for Hybrid Actuation System of More Electric Aircraft

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