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70 articles for “Fuzzy PI”
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A novel similarity measure for interval value picture fuzzy Environment and extended TOPSIS
Abstract: Correct decision-making is the most arduous task in our daily life. The decisions are hard to make in the multi-criteria decision-making (MCDM) problems due to ambiguous and unexpected information. In order to cope with such uncertainties in the data, a new decision-making approach has been developed using a newly defined similarity measure under the framework of interval-valued picture fuzzy set (IVPFS), as an extension of picture fuzzy sets (PFS). In …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 1, 2024 · pp. 1–10 Read article
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Hybrid Fuzzy Controller for Temperature Process
Abstract: Temperature control is a process in which change of temperature of a space is measured or otherwise detected, and the passage of heat energy into or out of the space is adjusted to achieve a desired average temperature. Control of such a temperature process is achieved by means of a closed loop circuit in contrast to an open loop in the case of measurement only. To accurately control process temperature …
Published in Journal of Instrumentation Technology & Innovations · Vol. 3, Issue 3, 2013 · pp. 1–9 Read article
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Comparison of Speed Control of PMSM using Adaptive Fuzzy Logic Controller and PI Controller
Abstract: Permanent Magnet Synchronous Motors (PMSM) are widely used in low and mid power applications such as computer peripheral equipment, robotics, adjustable speed drives and electric vehicles. The growth in the market of permanent magnet motor drives has demanded the need of simulation tools capable of handling motor drive simulations. Simulations have helped the process of developing new systems including motor drives, by reducing cost and time. In a closed loop …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 3, 2018 · pp. 24–30 Read article
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PI and Fuzzy Logic Controller Based Analysis of Load Frequency Control for Thermal-nuclear Hybrid Energy Systems
Abstract: In this paper a two-area system: area-1, which has a thermal power plant, and area-2, which contains a nuclear power plant. By combining these domains, two area thermal-nuclear systems are developed in the MATLAB Simulink framework. To ensure the quality of power generated and to feed the load, generation should be raised in tandem with the growth in load demand, or the network should be connected. Using various controllers, LFC …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 1–9 Read article
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Auto Tuning of PI Controller using Fuzzy Logic for the Spherical Tank System and its Real Time Implementation
Abstract: In this paper, Auto Tuning of PI controller using fuzzy logic is developed to improve the performance of the spherical tank process. A real time implementation of proposed controller for a spherical tank to control liquid level is studied. Control of liquid level in a spherical tank is highly non linear due to variation in the area of cross section of level system with change in shape. System identification of …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 3, 2014 · pp. 28–37 Read article
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Fuzzy and PI Based Speed Control of BLDC Motor using Bidirectional Converter for Electric Vehicle Application
Abstract: Fuzzy logic control can be used in BLDC motor to control the four quadrants of operation so as to avoid power loss. In this study, a fuzzy based controller for speed control of BLDC motor is done, and it is compared with the conventional PI controller-based speed control technique. In addition to this, a bi-directional converter is used to achieve battery charging during regeneration and to charge the battery externally …
Published in Trends in Electrical Engineering · Vol. 8, Issue 3, 2018 · pp. 35–45 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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Mitigation of Harmonics in Industries using a Multilevel Shunt Active Power Filter
Abstract: The vast development in power electronic equipments causes higher harmonics in the distribution line in order to reduce the harmonics. This work proposes a design of Multi-Level Inverter (MLI) based Shunt Active Filter (SAF) intended to sort out the presence of harmonics in the distribution line. This proposed SAF utilizes three level diodes clamped MLI as VSI. d-q theory is employed for reference signal generation. In order to regulate the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 3, 2021 · pp. 39–50 Read article
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Performance Evaluation of Sliding Mode, Fuzzy Logic and PID Controllers for Twin Rotor MIMO System
Abstract: In twin-rotor MIMO system, two-different rotors need to be controlled by taking the impact of one rotor on the another leading to couplings. Due to the cross-coupling effects between main rotor and tail rotor of twin-rotor MIMO system, its regulation is a challenging task. The state-variable models of the Twin-rotor MIMO system are discussed in detail. The vertical and horizontal equivalent sub-systems are obtained using the above state-variable formulation taking …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 2, 2022 · pp. 36–62 Read article
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Integrating AI and ML in Tribology: A Review of Current Trends and Future Prospects
Abstract: This review paper explores the growing integration of artificial intelligence (AI) and machine learning (ML) within the field of tribology. Tribology, the study of friction, wear, and lubrication, is crucial for Improving the performance and longevity of mechanical systems. This review explores the role of AI and machine learning techniques, including artificial neural networks (ANNs), support vector machines (SVMs), and physics-informed machine learning (PIML)can be used to solve difficult tribological …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 56–60 Read article
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Investigation on Direct Torque Control of BLDC Motor Using Various Controllers
Abstract: BLDC Stands for brushless DC Motor. Direct torque control is a type of a vector control. Direct Torque control consist of two control loops one is speed control and other one is torque control. For the purpose of speed control several speed controllers are used in this work such as PI, PID Controller and Fuzzy Controller. PID Controller was used for better speed response, no steady state error but due …
Published in Journal of Instrumentation Technology & Innovations · Vol. 11, Issue 2, 2021 · pp. 19–30 Read article
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Application of Image Denoising through Comorbid Pixel Regularization Algorithm based on Neuro-Fuzzy Rule
Abstract: This study presents a novel approach of image denoising for medical images. Since, for medical diagnosis, action of object extraction plays a vital role but such jobs are limited with the visual observation and there is no denying from the fact that the medical images are subjected to noise which makes it difficult for the medical practitioner to extract features from such noisy images. Therefore, for accurate decisions it is …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 2, 2014 · pp. 7–11 Read article
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Temperature Control System using Artificial Intelligence
Abstract: Artificial Intelligence (AI) based controller for temperature control of a water bath system. The generation of membership function is a changeling problem for fuzzy systems and the response of fuzzy systems depends mainly on the membership functions. Artificial Neural Network based input and output used to tune the membership functions in fuzzy system. Two input and single output artificial intelligence is designed to control the temperature system .Further the tuning …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 76–83 Read article
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Design and analysis of PV based Micro-inverter using INC MPPT controller and Fuzzy Logic controller
Abstract: The reserve of conventional energy sources such as coal, natural gas, and crude oil are rapidly decreasing with increasing demand of electricity in the world.Also the fossil fuels cause air pollution, global warming and similar environmental problems. Therefore, recent studies have become widespread about renewable energy sources (RESs) such as biomass,hydropower, geothermal, wind and solar which are the most popular worldwide. Among other RESs, solar energy is assumed as the …
Published in Journal of Microwave Engineering and Technologies · Vol. 8, Issue 2, 2021 · pp. 16–29 Read article
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Design and Analysis of PV-based Micro-inverter using INC MPPT Controller and Fuzzy Logic Controller
Abstract: The reserve of conventional energy sources such as coal, natural gas, and crude oil are rapidly decreasing with increasing demand of electricity in the world. Also, the fossil fuels cause air pollution, global warming, and similar environmental problems. Therefore, recent studies have become widespread about renewable energy sources (RESs) such as biomass, hydropower, geothermal, wind and solar which are the most popular worldwide. Among other RESs, solar energy is assumed …
Published in Journal of Microcontroller Engineering and Applications Read article
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Design and analysis of PV based Micro-inverter using INC MPPT controller and Fuzzy Logic controller
Abstract: The reserve of conventional energy sources such as coal, natural gas, and crude oil are rapidly decreasing with increasing demand of electricity in the world.Also the fossil fuels cause air pollution, global warming and similar environmental problems. Therefore, recent studies have become widespread about renewable energy sources (RESs) such as biomass,hydropower, geothermal, wind and solar which are the most popular worldwide. Among other RESs, solar energy is assumed as the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 6–18 Read article
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Sliding Mode Controller-based Load Frequency Regulation for a Two-area Interrelated Power System
Abstract: This study presents the use of the sliding mode control approach for power systems load frequency regulation. A sliding mode load frequency controller is part of a two-area power system. Both reheat and non-reheat. These two regions each have a distribution of thermal turbines. Nonlinearities such as governor dead region and production rate limitations are included in the block diagram of a power plant model. Our control objective is to …
Published in International Journal of Advanced Control and System Engineering · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
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Advancements in Multiple-Input DC–DC Converters for Hybrid Renewable Energy Systems: Topologies, Control Strategies, and Applications
Abstract: Multiple-input DC to DC converters (MICs) are essential components in hybrid energy systems, enabling efficient management of diverse energy inputs from renewable sources such as solar photovoltaic (PV) panels and wind turbines. These converters facilitate the seamless integration of variable power outputs, addressing the intermittent nature of renewable energy through advanced power electronics. This paper provides a comprehensive review of the topologies, control strategies, and applications of MICs within renewable …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 10–17 Read article
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Temperature Control Techniques for Heat Exchanger System: A Review
Abstract: Heat transfer from one process fluid to another is necessary application of the process control. Heat exchangers are most widely used in industrial application to transfer of heat. Different types and configuration according to its flow, temperature and pressure, etc. are used for different application. Oil and gas, food industries, HAVAC system, power generation heat exchanger are widely used. Control objective is to keep outlet temperature of heat exchanger at …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 1, 2017 · pp. 1–11 Read article
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Reduction of Harmonics for Isolated Diesel Generation System with DSTATCOM Using Fuzzy
Abstract: This paper presents the compensation of reactive power, harmonics, and unbalanced load current of diesel generator set for an isolated system by controlling voltage source convertor (VSC) which is working as distribution static synchronous compensator (DSTATCOM). Here least mean square based adaptive linear element (ADALINE) is use to extract balanced positive sequence real fundamental frequency component of the load current for converter and used to control DSTATCOM. For fast dynamic …
Published in Journal of Automobile Engineering and Applications · Vol. 2, Issue 3, 2015 · pp. 12–22 Read article