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interval type-2 fuzzy logic controller-Based Multi-level Shunt Active Power Line Conditioner for Harmonic Mitigation

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INTERNATIONAL JOURNAL OF fuzzy SYSTEMS 2019年第1期21卷 104-114页

作者： Rathi, M. Kala Prabha, N. Rathina Mepco Schlenk Engn Coll Dept EEE Sivakasi India

The use of variable speed drives in industries introduces harmonics that should be attenuated so as to improve the power quality. To overcome the shortcomings of the traditional passive filters in electric power system, shunt active power line conditioners (APLC) are employed. The regulation of DC capacitor voltage plays a vital role in deciding the performance of shunt APLC. Several intelligent controllers have been developed for the voltage control;however, due to high uncertainties associated with the electric power system, an interval type-2 fuzzy logic controller (IT2 FLC) is proposed. This work compares IT2 FLC, type-1 fuzzy-tuned proportional integral (PI) controller, and their performances are assessed with reference to conventional PI controller using MATLAB. Thus, the paper deals with the investigation of three-level Multi-Level Inverter which is used as shunt APLC in high-power applications using a fuzzy logic scheme.

关键词： Power quality Active power line conditioner fuzzy-tuned PI controller interval type-2 fuzzy logic controller

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interval type-2 fuzzy logic controller based grid-tied solar PV inverter with active and reactive power control

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JOURNAL OF INTELLIGENT & fuzzy SYSTEMS 2022年第3期43卷 2299-2314页

作者： Venkatasamy, B. Kalaivani, L. Natl Engn Coll Dept EEE Kovilpatti Tamil Nadu India

Solar photovoltaic industry is continuously thriving to improve the performance of power management systems with technology advancement. In the power system, balancing active and reactive power injection and absorption plays a pivotal role in maintaining Grid regulation and power factor and thus improving the efficiency and power handling capability. The Grid-tied solar PV inverters can be the cost-effective solution for reactive power compensation. Solar photovoltaic (SPV) system with the Grid-tied inverter is to produce active and reactive power in various ecological conditions. The Grid-tied PV inverter injects active and reactive power into the grid according to the desired value by the Grid requirements. The Proposed system uses decoupled P-Q theory with interval type-2 fuzzy logic controller (IT2-FLC). Also, the proposed controller minimizes the Total Harmonic Distortion (THD) and produces regulated output power compared to the other control techniques. The proposed IT2-FLC is compared with a type-1 fuzzy logic controller (T1-FLC) and conventional mathematical PI controller for performance analysis using simulation. A 75 kW Grid-tied inverter is designed in simulation to prove the effectiveness of the system through Matlab/Simulink. A smaller rating prototype model is developed to verify the simulation results.

关键词： Solar Photovoltaic grid-tied inverter interval type-2 fuzzy logic controller reactive power

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Design of an interval type-2 fuzzy logic controller for Automatic Voltage Regulator System

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2012年第2期40卷 219-235页

作者： Panda, Manoj Kumar Pillai, G. N. Kumar, Vijay Indian Inst Technol Dept Elect & Comp Engn Roorkee Uttar Pradesh India Indian Inst Technol Dept Elect Engn Roorkee Uttar Pradesh India

A type-2 fuzzy logic controller is proposed in this article for an automatic voltage regulator system. For controller design, memberships of system variables are represented using interval value fuzzy sets. fuzzy logic based on interval value sets is capable of modeling the uncertainty and imprecision in a better way. The proposed controller surpasses the best performance obtained by an optimized proportional-integral-derivative controller in improving the step response of an automatic voltage regulator system. Simulation results also reveal the robustness of the controller to system parameter changes.

关键词： interval type-2 fuzzy logic controller automatic voltage regulator system type-2 fuzzy sets

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An interval type-2 fuzzy logic controller design method for hydraulic actuators of a human-like robot by using improved drone squadron optimization

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INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 2019年第6期16卷

作者： Dong, Haozhen Gao, Liang Shen, Pi Li, Xinyu Lu, Yan Dai, Wenyan Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol 1037 Luoyu Rd Wuhan 430074 Hubei Peoples R China

Hydraulic actuator becomes an increasingly concerned driver for human-like robots. However, its dynamic performance under the control should be still further improved because hydraulic system is a typical nonlinearity system. interval type-2 fuzzy logic controller is an advanced control method featured with high performance to deal with uncertain and nonlinear dynamics, so designing an interval type-2 fuzzy logic controller for the control of hydraulic is a feasible method. In this article, an improved drone squadron optimization-based approach is proposed to optimize interval type-2 fuzzy logic controller parameters. To verify the feasibility and priority of improved drone squadron optimization, a comparison on three different typical plants including proportional-derivative (PD) system, proportional-integral (PI) system, and PI nonlinear system between improved drone squadron optimization and other meta-heuristic algorithms is carried out. Simulation results demonstrate that improved drone squadron optimization not only gets an appropriate interval type-2 fuzzy logic controller for system control but also outperforms other popular algorithms in accuracy of performance.

关键词： Hydraulic actuator human-like robots interval type-2 fuzzy logic controller drone squadron optimization parameters optimization

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Fault data injection attack on car-following model and mitigation based on interval type-2 fuzzy logic controller

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IET CYBER-PHYSICAL SYSTEMS: THEORY & APPLICATIONS 2019年第2期4卷 128-138页

作者： Gunasekaran, Prabhakar Sundaramoorthy, Selvaperumal Pulikesi, Nedumal Pugazhenthi VSB Engn Coll Dept Elect & Elect Engn Karur Tamil Nadu India Syed Ammal Engn Coll Dept Elect & Elect Engn Ramanathapuram Tamil Nadu India

Cyber defence mechanism is started with modelling the accurate car-following behaviour including cyber attack. The creation of finest models made the path of control action easier. The connection between the vehicles is mathematically formulated with the help of car-following behaviour, incorporating the derived acceleration function from the cruise control physical system. The modified car-following model is simulated as closed-loop control system to analyse its behaviour in terms of acceleration and distance. Fault data injection cyber attack is mathematically injected into the modified car-following model and simulated to analyse the impact of attack. Initially, the impact of fault data injection attack is detected and mitigated with the help of parallel proportional-integral-derivative controller and genetic algorithm tuned proportional-integral-derivative controller. interval type-2 fuzzy proportional-integral-derivative controller is introduced to mitigate the cyber attack and to overcome the uncertainty. The integral square error and integral absolute error are used to compare the performance of the controllers. Inbuilt Wi-Fi connected car like mobile robots are used in real-time model. This model is designed and developed based on the Node MCU processors, real-time operating system, sensors and actuators.

关键词： mobile robots genetic algorithms three-term control fuzzy control closed loop systems fuzzy set theory cruise control physical system modified car-following closed-loop control system fault data injection cyber attack fault data injection attack parallel proportional-integral-derivative controller interval type-2 fuzzy proportional-integral-derivative controller integral square error integral absolute error Wi-Fi connected car real-time model interval type-2 fuzzy logic controller cyber defence mechanism accurate car-following finest models control action derived acceleration function

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Chaos driven instability control using interval type-2 fuzzy logic controller for better performance

Chaos driven instability control using interval type-2 fuzzy...

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3rd International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS)

作者： Nangrani, S. P. Singh, Arvind R. Chandan, Ajaysingh Visvesvaraya Natl Inst Technol Dept Elect Engn Nagpur Maharashtra India Shri Guru Gobind Singhji Inst Engn & Technol Dept Elect Engn Nanded India

Engineering systems are governed by set of differential equations and work under various uncertainties of parameters. type-1 fuzzy logic controller are widely used in engineering systems for expert control of system using logic and mathematics together. This paper proposes the first-ever use of interval type-2 fuzzy logic controller design to control chaos and associated instability in a nonlinear dynamical power system. interval type-2 fuzzy designs have an edge over type-1 fuzzy sets and interval type-2 fuzzy logic controller is well suited for the uncertainty present in weak and chaos sensitive systems. Uncertainty in parameters affects differential equation very badly for such systems. Uncertainty in engineering applications needs an extra layer of handling system control mathematically and logically. Comparison of type-1 and type-2 fuzzy logic controller based on time domain waveform, phase plane trajectory and integral square error, clearly proves the efficacy of type-2 fuzzy logic controller in controlling dynamic behavior of a nonlinear dynamical system as demonstrated through results discussed in the paper. This paper discusses control of chaos driven voltage instability issue in the case of nonlinear dynamical power system, as an application.

关键词： type-2 fuzzy logic controller interval type-2 fuzzy logic controller fuzzy logic set nonlinear dynamical system

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The Discussion on interval type-2 fuzzy logic controller with Stewart Platform

The Discussion on Interval Type-2 Fuzzy Logic Controller wit...

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IEEE International Conference on fuzzy Systems (FUZZ-IEEE)

作者： Huang, Chin-I Shen, Meng-Shiuan Natl Kaohsiung First Univ Sci & Technol Inst Syst Informat & Control Kaohsiung Taiwan

ISBN: (纸本)9781467315067

Due to the Stewart Platform is high nonlinear, complexity system of uncertainty and imprecision information. So, the interval type-2 fuzzy logic system (IT2FLS) is proposed to improve the performance of the traditional limitations of type-1 fuzzy logic system (T1FLS) for coping with above control problems. Furthermore, the Karnik-Mendel (KM) algorithm is used to reduce order from interval type-2 fuzzy sets. In the same situation case, the performance of IT2FLC compare effectively with T1FLC through the command voltage signals and the experimental results such as the step and sinusoidal tracking responses. Hence, the proposed controller is feasibility and effectiveness.

关键词： Stewart Platform interval type-2 fuzzy logic controller Karnik-Mendel Algorithm

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Design of Buck Converter Based on interval type-2 fuzzy logic controller

Design of Buck Converter Based on Interval Type-2 Fuzzy Logi...

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International Seminar on Intelligent Technology and Its Applications (ISITIA)

作者： Asy'ari, Muhammad Khamim Musyafa, Ali Inst Teknol Sepuluh Nopember Dept Engn Phys Surabaya Indonesia

ISBN: (纸本)9781538676547

Buck converter is a DC-DC converter that serves to lower the voltage. One application of the use of buck converter is on wind turbine. The changing wind speed causes the generator output voltage to fluctuate. The problem can be solved by buck converter and its control. Buck converter can be controlled using interval type-2 fuzzy logic controller. This simulation uses Matlab 2013 with simulink module and interval type-2 fuzzy logic toolbox. The variations given are footprint of uncertainty values of +/- 0.1, +/- 0.2, and +/- 0.3. The type reduction uses Karnil and Mendel method and defuzzification uses Sugeno method. The best result design interval type-2 fuzzy logic controller is footprint of uncertainty values of +/- 0.1. It has best transient-response specifications such as delay time of 0.314 ms, rise time of 0.864 ms, peak time of 1.094 ms, maximum overshoot of 1.5724 %, and settling time of 1.875 ms.

关键词： buck converter interval type-2 fuzzy logic controller matlab simulink

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Power System Stabilizer Design: interval type-2 fuzzy logic controller Approach

Power System Stabilizer Design: Interval Type-2 Fuzzy logic ...

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2nd International Conference on Power, Control and Embedded Systems (ICPCES)

作者： Panda, Manoj Kumar Pillai, G. N. Kumar, Vijay Indian Inst Technol Elect & Comp Engn Dept Roorkee Uttar Pradesh India Indian Inst Technol Dept Elect Engn Roorkee Uttar Pradesh India

ISBN: (纸本)9781467310499;9781467310475

An interval type-2 fuzzy logic controller (IT2FLC) is proposed in this paper for the design of power system stabilizer (PSS) of a single machine infinite bus (SMIB) and multi machine infinite bus (MMIB) system incorporated with an AC1A exciter. For controller design, memberships of system variables are represented using interval value fuzzy sets. fuzzy logic based on interval value sets is capable of modeling the uncertainty and imprecision in a better way. The proposed controller performance is compared with the optimal lead lag and optimal type-1 fuzzy logic controller respectively reference to damp the oscillations of both SMIB and MMIB system. Simulation results reveal the superior performance of the proposed controller and also it is robust with respect to system parameter variation and at different disturbances.

关键词： interval type-2 fuzzy logic controller type-2 fuzzy sets Power system stabilizer Particle swarm optimization

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A simple robust mechanism of PV-supported dynamic voltage restorer using interval type-2 fuzzy logic controller

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AUTOMATIKA 2023年第3期64卷 672-680页

作者： Anitha, P. Kamaraja, A. S. Kumar, K. Karthik Saritha, G. Univ VOC Coll Engn Dept Elect & Elect Engn Tuticorin India L&T Technol Serv Mysore India Natl Engn Coll Dept Elect & Elect Engn Kovilpatti India Sri Sairam Inst Technol Dept Elect & Elect Engn Chennai India

Power electronic devices and variable speed drives solve a power quality issue. To increase the power quality, the distribution side must be compensated by concurrently infusing actual and reactive power. A cost-effective method of preventing voltage sag and swell in power electronic loads is the use of a dynamic voltage restorer. To enhance the power quality for end users, a DC-link component will be combined with the DVR. Ratings for DC-Link elements and inverters are more challenging when constructing a DVR. To simplify things, the Distributed Energy Source (DES) is combined with the DC-Link and the Inverter. The PV-integrated DVR is under the supervision of the interval type-2 fuzzy logic controller using Synchronous Reference Frame Theory. Reactive power is injected and absorbed under defective situations using a variety of injection techniques with various controllers. The suggested controller enhances power quality and provides exact results under different fault scenarios. Matlab is used to compare the proposed IT2-FLC to a type-1 fuzzy-adjusted PI controller and a traditional mathematical PI controller. The results of the simulations showed that the suggested methodology provided a better outcome on the Distribution side. To validate the simulation results, a scaled-down rating prototype model is created.

关键词： distributed energy source dynamic voltage restorer interval type-2 fuzzy logic controller synchronous reference frame

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