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Faisal Shafiqul Islam,Islam Md Shafiqul,Malek Soner Md Abdul 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.2
Consequences of an anticipated Beyond Design Basis Accident (BDBA) Long-Term Station Blackout (LTSBO) event with complete loss of grid power in the VVER-1200 reactor of Rooppur Nuclear Power Plant (NPP) of Unit-1 are assessed using the RASCAL 4.3 code. This study estimated the released radionuclides, received public radiological dose, and ground surface concentration considering 3 accident scenarios of International Nuclear and Radiological Event Scale (INES) level 7 and two meteorological conditions. Atmospheric transport, dispersion, and deposition processes of released radionuclides are simulated using a straight-line trajectory Gaussian plume model for short distances and a Gaussian puff model for long distances. Total Effective Dose Equivalent (TEDE) to the public within 40 km and radionuclides contribution for three-dose pathways of inhalation, cloudshine, and groundshine owing to airborne releases are evaluated considering with and without passive safety Emergency Core Cooling System (ECCS) in dry (winter) and wet (monsoon) seasons. Source term and their release rates are varied with the functional duration of passive safety ECCS. In three accident scenarios, the TEDE of 10 mSv and above are confined to 8 km and 2 km for the wet and dry seasons, respectively in the downwind direction. The groundshine dose is the most dominating in the wet season while the inhalation dose is in the dry season. Total received doses and surface concentration in the wet season near the plant are higher than those in the dry season due to the deposition effect of rain on the radioactive substances.
Islam, Md. Shafiqul,Faisal, Shafiqul Islam,Khan, Sadia Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.5
Bangladesh, as a newcomer country, is expecting to start her nuclear power journey by 2022. Due to evident reasons, newcomer nuclear countries face several key challenges concerning the development of national nuclear safety infrastructure. The paper investigates the status of the 7 key safety infrastructure issues out of the 19 and readiness of the supportive organizations, laboratories, and workforces following the International Atomic energy Agency's status evaluation guide at milestone 3 and foreign countries' practice. Much progress has been achieved at phase 3 regarding the establishments of a few Acts, a regulator, and an operator. However, comprehensive regulatory frameworks, skilled workforces, establishments of a few supportive organizations, and laboratories for managing environmental radioactivity, radiological accidents, and radioactive wastes are yet to ready. Several suggestions are made for establishing and expediting radiation monitoring laboratories, a radiological emergency management center, a radioactive waste management company, and technical support organizations for the safety infrastructure. To avoid perceived risks, policymakers and competent authorities need to emphasize creating an optimized safety infrastructure before commissioning and operating the 1<sup>st</sup> nuclear power plant safely, securely, and cost-sustainably.
Robust Asymptotic and Finite-time Tracking for Second-order Nonlinear Multi-agent Autonomous Systems
Shafiqul Islam,Nikolas I. Xiros 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.12
This paper investigates consensus based distributed robust asymptotic and finite-time tracking control strategy for second-order multi-agent autonomous systems. The protocol design uses states of the neighboring agents with directed communication topology in the presence of uncertainty associated with the autonomous agents. Robust adaptive learning algorithm uses with the protocol design for each follower agent to learn and adapt bounded uncertainty associated with nonlinear dynamics of the follower agents. Adaptive learning protocol also integrates with the follower agents protocol to learn and adapt bounded input of the leader. Lyapunov method with Graph, classical sliding mode, and terminal sliding mode theory use to guarantee that the proposed distributed control design can reach an agreement and follow the states of the leader in both finite-time and asymptotic sense. Analysis shows that consensus based protocol can force the states of the followers sliding surface to track the states of the leader sliding surface in finite-time and remain there. The proposed distributed consensus protocol does not require the exact bound of the uncertainty associated with the follower agents. Also, the proposed protocol does not require the exact bound of the leader input as opposed to other distributed cooperative control designs. Evaluation resultswith comparison are presented to demonstrate the validity of the theoretical argument for the real-time applications.
Shafiqul Islam,Peter X. Liu,Abdulmotaleb El Saddik 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.4
This paper addresses the stability and tracking control problem of miniature unmanned multirotor aerial vehicle (MUMAV) in the presence of bounded uncertainty. The uncertainty may appear from unmodeled dynamics, underactuated property, input disturbance and flying environment. Nonlinear robust adaptive sliding mode control algorithm is designed by using Lyapunov function. Robust adaptation laws are designed to learn and compensate the bounded parametric uncertainty. Lyapunov analysis shows that the proposed algorithms can guarantee asymptotic stability and tracking control property of the linear and angular dynamics of MUMAV system. Compared with other existing control methods, the proposed design is very simple and easy to implement as it does not require multiple design steps, augmented auxiliary signals and exact bound of the uncertainty. Experimental results on a miniature unmanned quadrotor aerial vehicle are presented to illustrate of effectiveness of the proposed design for real-time applications.
Adaptive Control for Robot Manipulators using Multiple Parameter Models
Shafiqul Islam,Peter X. Liu,Jorge Dias,Lakmal D. Seneviratne 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.5
In this paper, we propose multiple parameter models based adaptive switching control system for robotmanipulators. We first uniformly distribute the parameter set into a finite number of smaller compact subsets. Then,distributed candidate controllers are designed for each of these smaller compact subsets. Using Lyapunov inequality,a candidate controller is identified from the finite set of distributed candidate controllers that best estimates theplant at each instant of time. The design reduced the observer-controller gains by reducing modeling errors and uncertaintiesvia identifying an appropriate control/model via choosing largest guaranteed decrease in the value of theLyapunov function energy function. Compared with CE based CAC design, the proposed design requires smallerobserver-controller gains to ensure stability and tracking performance in the presence of large-scale modeling errorsand disturbance uncertainties. In contrast with existing adaptive method, multiple model based distributed hybriddesign can be used to reduce the energy consumption of the industrial robotic manipulator for large scale industrialautomation by reducing actuator input energy. Finally, the proposed hybrid adaptive control design is experimentallytested on a 3-DOF PhantomTM robot manipulator to demonstrate the theoretical development for real-timeapplications.