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Showing 6 results for Zamani

Mostafa Zamani Mohiabadi,
Volume 11, Issue 4 (Journal of Control, V.11, N.4 Winter 2018)
Abstract

In this paper, a new image processing technique has been proposed to measure the contact angle of symmetric and asymmetric drops. In our proposed method, the contact angle is calculated by analyzing the side view image of the drop without needing any liquid parameters. The procedure of the technique is according to the secant technique coupled with a Gaussian weighted function, as follows: at the beginning the exact location of the contact points is obtained by Harris corner detector function, then a series of points are selected on the drop boundary near the contact points. In the third step, a set of contact angles are estimated by passing secant lines through the contact point and each of the boundary points. In the final step, a gaussian weighted average function is applied to the calculated angles to estimate the main contact angle. The contact angle measurement algorithm is verified by comparing its results with the obtained measurements of a recent standard study. High accuracy, usability for all ranges of contact angles, applicability to both symmetric and asymmetric drops and being fully automatic are other advantages of the presented method.


Maysam Zamani Pedram, Mansour Mohtashamifar, Ahmad Afifi,
Volume 12, Issue 3 (Journal of Control, V.12, N.3 Fall 2018)
Abstract

In this Study, according to microfluidic structure and bio inspired techniques, a material detection sensor has been designed and fabricated based on micro fabrication method. The capacitive sensing has been designed numerically and optimized by a familiar multi physics software. In this type of sensor, a defined aptamer has been coated on the capacitor electrode surface and by flowing the fluid through the microchannel, the targeted material would be involved between the aptamer string structure and it makes a change in capacitor value. In this research, a novel readout system based on limit cycle has been introduced and implemented. In this method, a virtual nonlinear dynamic has been supposed beside the real system and makes the whole system behave in a limit cycle (LC). By measuring LC frequency and amplitude, capacitor value is estimated.


Amir Hossein Amiri Mehra, Mohsen Shafieirad, Zohreh Abbasi, Iman Zamani, Zohreh Aarabi,
Volume 14, Issue 5 (Journal of Control, Vol. 14, No. 5, Special Issue on COVID-19 2021)
Abstract

According to the global prevalence of coronavirus (COVID-19) pandemic, mathematical models can predict and control the dynamic behavior of the pandemic. Therefore, in this study, a comprehensive model is considered to examine the trend of COVID-19 based on Susceptible, Exposed, Infected (Symptomatic and Asymptomatic), and Recovered individuals. In the absence of a curative treatment or vaccination campaign, the group of "quarantined people" is added to the model. Then, a positivity analysis of states is examined, and the threshold criterion (R_0) is determined. The equilibrium points (disease-free and endemic) are also calculated, and their stability is investigated using the Jacobin matrix. The quarantine rate is regulated as the only control input using the fuzzy sliding mode controller. The efficiency of the controller is also investigated in the presence of uncertainty in model parameters. Also, the impact of the infected community on other communities, considering the controller, will be examined. Finally, the performance and efficiency of the proposed controller are evaluated.

Nafiseh Sohrabi, Afshar Alihosseini, Vahid Piroozfar, Maysam Zamani Pedram,
Volume 15, Issue 3 (Journal of Control, V.15, N.3 Fall 2021)
Abstract

Recently, Carbon Nano (CN) structures are widely used in medical applications, especially the detection and treatment of cancer disease. Among various types of CNs, Carbone Nano Tubes (CNTs) attracted many researchers' attention to consider them toward clinical application. Regarding the intrinsic structure of CNTs, they can be used widely in drug delivery applications. Functionalized CNTs and conjugated with drug and magnetic nanoparticles (MNPs), represents an opportunity toward targeted drug delivery. In the mentioned system, MNPs play as a magnetic actuator, which can be externally excited. Delivery of the drug to a specific area, specifically inside the cellular membrane, is essential. To conduct a well-designed delivery system, the interaction force profile is needed to cross the CNTs through the membrane. The process is the primary point in a targeted drug delivery system. In this study, the computational analysis of crossing functionalized /CNTs containing anti-cancer drug through the cell membrane (lung cell) are investigated. The mathematical model shows the frequency behaviour of the cell membrane and provides a physical relation between crossing velocities and interaction forces.  In this paper, the result is based on a complex Molecular scale simulation in which they entirely compute the producer of drug delivery. The dynamics equation of the system is presented in the time and frequency domain, which can lean to provide an optimal external magnetic field profile. This design helps nanotechnologist to precisely analyze drug delivery dynamics during the time and how to implement in clinical applications. The results provide an optimal profile to deliver the drug and crossing through the cell membrane in 30 seconds, 1, 2 and 5 minutes.

Mohammadreza Zamani Behbahani, Zahra Rahmani, Behrooz Rezaie,
Volume 16, Issue 1 (Journal of Control, V.16, N.1 Spring 2022)
Abstract

This paper proposes a novel structure of model predictive control algorithm for piecewise affine systems as a particular class of hybrid systems. Due to the time consuming and computational complexity of online optimization problem in MPC algorithm, the explicit form of MPC which is called Explicit MPC (EMPC) is applied in order to control of buck converter. Since the EMPC solves the optimization problem only once and in offline manner, this strategy is suitable for hybrid systems with fast dynamics. As opposed to typical EMPC that is uses only the first element of optimal input vector, the proposed strategy uses all entries of the control sequence with optimal weighting factors. In proposed EMPC, two separate optimization problems are solved at each algorithm step. The first one is related to EMPC optimization problem and the second optimization problem is concerned to finding optimal weighting factors so as to minimize the error signal at each step. The convergence property of the proposed EMPC towards to the desired value has been proved and the simulation results shows the better performance of the proposed EMPC strategy than the typical one, if the weighting factors and control horizons are adjusted properly.

Hasan Zamani, Karim Abbaszadeh, Mohammadhadi Karimi, Johan Gyselinck,
Volume 17, Issue 3 (Journal of Control, V.17, N.3 Fall 2023)
Abstract

For synchronization with the grid and controlling the injected active and reactive currents of the LCL-filter based grid-tied inverters, capacitor voltages can be sampled. An LCL filter attenuates the switching harmonics effectively but needs an extra sensor for the LCL filter resonance damping. Popular methods use capacitor currents for the LCL filter resonance damping. Theoretically, the derivative of capacitor voltage, which is proportional to the capacitor current, damps the resonance, and the extra sensor is avoided. However, traditional discretization methods for digital implementation of the derivative operator are not valid when the resonance frequency is high. Indeed, they don't preserve the phase and magnitude of the ’s’ function in the resonance frequency region. This paper introduces an effective method for discretizing the ’s’ function in the desired frequency range. The capacitor voltages of the LCL filter are sampled and the proposed function makes their derivative. The output of the derivative function with a tuned gain is added to the controller’s output for damping the LCL filter resonance. The simulation results show the effectiveness of the proposed method.


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