Mohammad Ataei, Ph.D. ,

Professor

Department Of Electrical Engineering
Faculty Of Engineering

Email

ataei@eng.ui.ac.ir

Address

University of Isfahan Azadi square Isfahan, Iran
Postal Code : 8174673441

2009

2025

Research activities per year

Overview

Research Output

All

Article

2026

2003

Articles

2026

A disturbance observer-based synchronization control architecture for Euler-Lagrange networks with a dynamic leader

( Article )

Motaharifar, M., Ataei, M.

Publication Date: 2026

Journal of the Franklin Institute (00160032)363(2)

2025

A Sliding Mode Approach to Asymptotic Recovery of Nominal Performance for Uncertain Linear Systems

( Article )

Kim, H., Shim, H., Jo, N.H., Ataei, M., Park, G.

Publication Date: 2025

IEEE Transactions on Industrial Electronics (0278-0046)

A Three-Channel Control Scheme with Force Estimation for Transparency and Stability Improvement in Bilateral Telerobotic Systems

( Article . Gold )

Karkevandi, J.B., Ataei, M., Motaharifar, M., Shanahan, D., Montazeri, A.

Publication Date: 2025

IFAC-PapersOnLine (24058963)59(10)pp. 697-702

Robust data driven control in frequency domain: A model-free approach

( Article )

Tabibian, S., Ataei, M., Koofigar, H.R.

Publication Date: 2025

ISA Transactions (00190578)164pp. 1-13

2024

A nonlinear disturbance observer for sliding mode control of surge in centrifugal compressors via TCV actuator

( Article . Hybrid Gold )

Roudsari, N.R., Ataei, M., Koofigar, H.R., Montazeri, A.

Publication Date: 2024

Journal of Process Control (09591524)139

Surge is a form of dynamic instability created as an unstable pattern in the flow of fluid and can severely affect centrifugal compressor performance by causing fluctuations in flow and pressure parameters. Due to the heavy and costly damage that the surge may cause in various industrial processes such as petrochemical plants, it is necessary to design an appropriate control system to reduce the effect of this phenomenon. The problem of active surge control of a centrifugal compressor using the throttle control valve (TCV) in the presence of compressor parametric uncertainties as well as large demands on upstream and downstream loads is investigated in this work. The control objective was to design a robust control system that can stabilize the compressor over a wide operating range without knowing the upper bound for the uncertainties and load demand. The controller should also react quickly by generating a smooth control signal without saturating the control input. These objectives are achieved by designing a sliding mode controller along with a nonlinear disturbance observer. The performance of the proposed disturbance observer-based controller is evaluated under various operational and load conditions and the results are compared against fuzzy type 1, conventional sliding mode, and wavelet-based neural network robust adaptive controllers. The results show that the proposed method can tolerate large disturbances without any knowledge on the upper bound of the incident disturbance, both on the downstream pressure and upstream mass flow which is highly desirable in practice. The comparative study proves the efficacy of the proposed method using various performance measures. The study also confirms the superior robust performance and stability of the proposed method in front of matched and mismatched disturbances as well as model uncertainties especially close to the instability boundary. Although choosing a TCV actuator has made the control system design easier, the sensitivity of the control valve to flow coefficient and zero calibration under different operating ranges of the compression system is studied carefully and some recommendations for the users are provided. © 2024 The Authors

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