ORCID Profile
0000-0002-9733-1732
Current Organisation
Deakin University
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Publisher: Elsevier BV
Date: 11-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Publisher: Elsevier BV
Date: 06-2022
Publisher: Springer Science and Business Media LLC
Date: 09-11-2016
Publisher: Springer International Publishing
Date: 2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Publisher: Springer Science and Business Media LLC
Date: 18-11-2018
Publisher: Springer International Publishing
Date: 2019
Publisher: IEEE
Date: 09-2016
Publisher: Elsevier BV
Date: 2020
Publisher: Springer Science and Business Media LLC
Date: 03-09-2022
Publisher: Elsevier BV
Date: 06-2017
Publisher: Elsevier BV
Date: 09-2018
Publisher: IEEE
Date: 07-2016
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 04-2018
Publisher: Springer Science and Business Media LLC
Date: 19-02-2019
Publisher: Springer Science and Business Media LLC
Date: 07-09-2018
Publisher: Springer Singapore
Date: 07-08-2019
Publisher: Springer Singapore
Date: 07-08-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Publisher: Springer Singapore
Date: 07-08-2019
Publisher: MDPI AG
Date: 28-10-2021
DOI: 10.3390/ELECTRONICS10212637
Abstract: This paper presents a robust and efficient fault detection and diagnosis framework for handling small faults and oscillations in synchronous generator (SG) systems. The proposed framework utilizes the Brunovsky form representation of nonlinear systems to mathematically formulate the fault detection problem. A differential flatness model of SG systems is provided to meet the conditions of the Brunovsky form representation. A combination of high-gain observer and group method of data handling neural network is employed to estimate the trajectory of the system and to learn/approximate the fault- and uncertainty-associated functions. The fault detection mechanism is developed based on the output residual generation and monitoring so that any unfavorable oscillation and/or fault occurrence can be detected rapidly. Accordingly, an average L1-norm criterion is proposed for rapid decision making in faulty situations. The performance of the proposed framework is investigated for two benchmark scenarios which are actuation fault and fault impact on system dynamics. The simulation results demonstrate the capacity and effectiveness of the proposed solution for rapid fault detection and diagnosis in SG systems in practice, and thus enhancing service maintenance, protection, and life cycle of SGs.
Publisher: Springer Singapore
Date: 07-08-2019
Publisher: SAGE Publications
Date: 09-2016
Abstract: An autonomous underwater vehicle needs to possess a certain degree of autonomy for any particular underwater mission to fulfil the mission objectives successfully and ensure its safety in all stages of the mission in a large-scale operating field. In this article, a novel combinatorial conflict-free task assignment strategy, consisting of an interactive engagement of a local path planner and an adaptive global route planner, is introduced. The method takes advantage of the heuristic search potency of the particle swarm optimization algorithm to address the discrete nature of routing-task assignment approach and the complexity of nondeterministic polynomial-time-hard path planning problem. The proposed hybrid method is highly efficient as a consequence of its reactive guidance framework that guarantees successful completion of missions particularly in cluttered environments. To examine the performance of the method in a context of mission productivity, mission time management, and vehicle safety, a series of simulation studies are undertaken. The results of simulations declare that the proposed method is reliable and robust, particularly in dealing with uncertainties, and it can significantly enhance the level of a vehicle’s autonomy by relying on its reactive nature and capability of providing fast feasible solutions.
Publisher: Springer Singapore
Date: 07-08-2019
Publisher: Springer Singapore
Date: 07-08-2019
Publisher: Elsevier BV
Date: 2017
Publisher: Springer Singapore
Date: 07-08-2019
Publisher: Springer Science and Business Media LLC
Date: 30-03-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Walter de Gruyter GmbH
Date: 2011
Abstract: Continues Stirred Tank Reactor (CSTR) is an important subject in chemical process and offering a erse range of researches in the area of the chemical and control engineering. Various control approaches have been applied on CSTR to control its parameters. This paper presents two different control strategies based on the combination of a novel socio-political optimization algorithm, called Imperialist Competitive Algorithm (ICA), and concept of the gain scheduling performed by means of the least square and fuzzy logic approaches. The goal is to control the temperature of the CSTR in presence of the set point changes. The works followed with designing those controllers and simulating in MATLAB software. The performance of the proposed controllers have been consider based on the Sum of the Square Error (SSE) and Integral Absolute Error(IAE) Criteria. The results clearly indicate that both suggested control strategies offer an acceptable performance with respect to the functional changes of the process. In other word, robustness of the proposed methods in dealing uncertainties throughout the tracking of the reference signal take the highlighted point into account. Furthermore, fuzzy based structure strategy gives the more flexibility and precise behavior in control action in comparison to the least square based approach.
Publisher: IEEE
Date: 12-2021
DOI: 10.1109/ITHINGS-GREENCOM-CPSCOM-SMARTDATA-CYBERMATICS53846.2021.00030
No related grants have been discovered for Somaiyeh Mahmoudzadeh.