Experimental Survey and Analysis on the Impact of the Commutation Process on a Positive Displacement Pump Driven by an Asynchronous Electric Motor

Tomov, Peycho; Aprahamyan, Bohos; Petrov, Krasimir; Andreev, Pavel; Petkov, Petko

doi:10.1109/elma.2019.8771523

Cited by 2 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 11 compares the flow rate for the MPC and the LQG controller measured at the inlet port of the electrohydraulic steering unit in l/min. As can be seen the flow rate for the closed-loop system with the MPC controller is more oscillatory which is not very acceptable for the hydraulic systems since the transients of flow direction changes are related to extreme pressure events which are not advantageous for the system [9]. The flow rate of the closedloop system with the LQG controller is practically zero at steady state which is result of the improved accuracy of the positional loop.…”

Section: Andrpsdulvrq Ri H[shulphqwdo Uhvxowvmentioning

confidence: 99%

Comparison of Model Predictive Control (MPC) and Linear-Quadratic Gaussian (LQG) Algorithm for Electrohydraulic Steering Control System

et al. 2020

View full text Add to dashboard Cite

The paper compares the performance of two embedded controllers applied in electrohydraulic steering systems – model predictive controller (MPC) and linear-quadratic Gaussian (LQG) controller with Kalman filtering for state estimation. Both controllers are designed on the basis of single input multiple output “black box” model obtained via identification approach. The controllers are implemented into industrial logic controller for mobile applications and their workability is experimentally checked with a laboratory model of a steering system for non-road mobile machinery. The results corresponding to investigation of performance of the closed-loop system are presented.

show abstract

Section: Andrpsdulvrq Ri H[shulphqwdo Uhvxowvmentioning

confidence: 99%

Comparison of Model Predictive Control (MPC) and Linear-Quadratic Gaussian (LQG) Algorithm for Electrohydraulic Steering Control System

et al. 2020

View full text Add to dashboard Cite

show abstract

Study of operational modes of an "electric drive–turbomachinery–pipeline" technological complex

Pavlov

2022

jour

View full text Add to dashboard Cite

A developed mathematical model of an asynchronous motor – turbomachinery pipeline technological complex is presented. An analysis of starting conditions is carried out by a nonlinear differential calculus and graphic analytical method. The calculations for the model were performed using the MATLAB software package. The flow, head, efficiency of the pump mechanism and entire pump unit, stator current, angular frequency and torque of the asynchronous motor were calculated at pump start-up and with an increase of pipeline resistance coefficient by 2, 5, 10, and 1000 times. At an increase in the pipeline resistance coefficient by 10 times, the pump efficiency is shown to be reduced by 2.8 times, while the head is increased by 1.28 times; meanwhile, the torque, stator current, and rotational speed of the asynchronous motor change insignificantly. The torque and current decrease by 1.167 and 1.034 times, respectively, while the speed increases by 1.0046 times; the efficiency of the pump mechanism and pump assembly (including motor) decreases by 1.78 and 1.89 times, respectively. The start-up time of the pump motor equals 0.5 s; the maximum stator current at start-up exceeds the nominal value by 4.39 times; the steady-state stator current comprises no more than 59.3 % of the nominal value. The developed mathematical model of the asynchronous motor – turbomachinery – pipeline technological complex is established to allow the operational and energy parameters of the unit to be quantitatively estimated at start-up, while the pump capacity is capable of being controlled by throttling.

show abstract

Experimental Survey and Analysis on the Impact of the Commutation Process on a Positive Displacement Pump Driven by an Asynchronous Electric Motor

Cited by 2 publications

References 3 publications

Comparison of Model Predictive Control (MPC) and Linear-Quadratic Gaussian (LQG) Algorithm for Electrohydraulic Steering Control System

Comparison of Model Predictive Control (MPC) and Linear-Quadratic Gaussian (LQG) Algorithm for Electrohydraulic Steering Control System

Study of operational modes of an "electric drive–turbomachinery–pipeline" technological complex

Contact Info

Product

Resources

About