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Enhancing of nominal characteristic trajectory following control for motion systems

Journal of Systems Engineering and Electronics 2017年第6期28卷 1221-1235页

作者： Fitri Yakub shamsul sarip Andika Aji Wijaya Yasuchika Mori Malaysia-Japan International Institute of Technology University of Technology MalaysiaKuala Lumpur 54100Malaysia Razak School of Engineering and Advanced Technology University of Technology MalaysiaKuala Lumpur54100Malaysia Department of Industrial Engineering University of Business and TechnologyJeddah 21361Saudi Arabia Graduate School of System Design Tokyo Metropolitan UniversityTokyo 191-0065Japan

The goal of this paper is to enhance a practical nominal characteristic trajectory following(NCTF) controller that is specifically designed for two-mass point-to-point positioning systems. A nominal characteristics trajectory contained in the NCTF controller acts as movement/motion reference and a compensator is utilized to force the object to detect and follow the reference/desired trajectory. The object must follow and track closely and should be as fast as possible. The NCTF controller is designed with two different intelligent based compensator approaches which are fuzzy logic and extended minimal resource allocation network. The proposed controller which is NCTF are compared with the conventional proportional integral compensator. Then the results of simulation are discussed for the positioning performances. The inertia variations due to the effect of the design parameters are also assessed to see the robustness of controllers. The results show that the NCTF control method designed from an intelligent based compensator has a better positioning performance in terms of percentage of overshoot, settling time, and steady state error than the classical based compensator.

关键词： two-mass rotary system intelligent approach classi cal method mechanical vibration nominal characteristic trajectory following

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Intelligent Integrated Model for Improving Performance in Power Plants

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Computers, Materials & Continua 2022年第3期70卷 5783-5801页

作者： Ahmed Ali Ajmi Noor Shakir Mahmood Khairur Rijal Jamaludin Hayati Habibah Abdul Talib shamsul sarip Hazilah Mad Kaidi Razak Faculty of Technology and Informatics UTM54100Kuala LumpurMalaysia University of Technology Ministry of Electricity GCEP/Middle Region BaghdadIraq

Industry 4.0 is expected to play a crucial role in improving energy management and personnel performance in power *** performance problem in maintaining power plants is the result of both human errors,human factors and the poor implementation of automation in energy *** problem can potentially be solved using artificial intelligence(AI)and an integrated management system(IMS).This article investigates the current challenges to improving personnel and energy management performance in power plants,identifies the critical success factors(CSFs)for an integrated intelligent framework,and develops an intelligent framework that enables power plants to improve *** theoretical basis is founded on a systematic literature review to locate 110 out of 3108 papers studied carefully to examine the performance architecture that best enables effective *** findings from this literature review are combined with expert judgment and the big data advantages of AI applications to develop an intelligent *** are collected from a power plant in *** ensure the reliability of the proposed model,various hypotheses are tested using structural equation *** results confirm that the measurement model is acceptable,and that the hypotheses are supported and significant.A case study demonstrates the strong relationship and significance between big data of performance and the *** is hoped that this model will be adopted to enable performance improvement in power plants.

关键词： Industry 4.0 artificial intelligence critical success factors decision making integrated management system maintenance

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Implications COVID-19 on Performance and Energy Management in the Production Electricity

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Computers, Materials & Continua 2021年第10期69卷 895-911页

作者： Noor Shakir Mahmood Ahmed Ali Ajmi shamsul sarip Khairur Rijal Jamaludin Hazilah Mad Kaidi Hayati Abdul Talib University of Technology Ministry of Electricity GCEP/Middle region BaghdadIraq Razak Faculty of Technology and Informatics UTMKuala Lumpur54100Malaysia

The COVID-19 pandemic has directly impacted the electric power industry;the energy sector has experienced huge losses in electricity *** losses have also affected the reliability of communication and employees’performance,hence destabilizing the electric power *** article aims at achieving two ***,analyzing the impact of the COVID-19 pandemic on the communication of performance(human error and human factors)and energy management in electricity ***,to develop a conceptual framework model to alleviate effects of the pandemic on the power sector and then improve energy management and human *** paper involves investigating the influence of the COVID19 pandemic on the global production of electricity in the first quarters of 2019 and 2020.A conceptual model was developed based on a case ***,to ensure reliability,a variable,namely COVID-19,was used as a moderator to examine the effects of the independent and dependent *** results show that scores for the internet of things(IoT)with awareness and communication(A&C)and workplace environment management were high with Cronbach’s alpha value of 0.87 for the IoT and 0.89 for A&*** numbers are important indicators of factors that could affect performance and energy management and should not be overlooked by the top *** results also indicate that the pandemic has had a direct effect on the electricity production sector,and the conceptual framework model revealed that COVID-19,as a moderator,has a direct effect on the variables that significantly affect the improvement of both energy management and employee *** case study’s results confirm the poor performance in power plant maintenance and operation,in which human error would increase especially in Iraqi power plants that have not yet adopted any internationally recognized standards for energy *** paper contributes to the literature studying COVID-19’s impa

关键词： Communication internet of things decision making energy management performance workplace environment

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Novel Approach to Energy Management via Performance Shaping Factors in Power Plants

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Computers, Materials & Continua 2022年第12期73卷 5025-5039页

作者： Ahmed Ali Ajmi Noor Shakir Mahmood Khairur Rijal Jamaludin Hayati Habibah Abdul Talib shamsul sarip Hazilah Mad Kaidi Razak Faculty of Technology and Informatics UTMKuala Lumpur54100Malaysia University of Technology Ministry of Electricity GCEP/Middle Region BaghdadIraq

The literature that a lack of integration between the performance shaping factors(PSFs)and the energy management performance(EMP)is one of the critical problems that prevent performance improvement and reduces the power plant’s *** solve this problem,this article aims to achieve two main objectives:(1)Systematically investigate and identify the critical success factors(CSFs)for integration with PSFs and EMP;(2)Develop a novel modelling approach to predict the performance of power plants based on innovative integrated *** research methodology is grounded on the theoretical and practical approach to improving *** Newcastle Ottawa Scale(NOS)was used to assess the quality of the literature that met the *** ensure the reliability and accuracy of the proposed model,the researchers developed a hypothesis and evaluated the CSFs via a case study in the Iraqi power *** findings of this study succeeded in developing a novel modeling approach to predict the performance by integrating the CSFs of both the PSFs and EMP to increase the positive interaction and energy efficiency of power *** results confirmed the validity of the selected hypotheses and verified the positive and important relationship with the success and improvement of the performance in power ***,the lack of consistency and balance in the current studies indicates that the performance strategy in power plants did not receive sufficient attention and needs further investigations.

关键词： Intelligent model energy policy energy use integrated system energy efficiency framework

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