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T‒S Fuzzy-model-based Robust controller Design of a Morphing Quadrotor by Considering Input Saturation

Journal of Institute of control, Robotics and Systems 2023年第5期29卷 398-403页

作者： Lee, Seunghoon Han, Tae Joon An, Ji Ho Kim, Han Sol Department of Control and Instrumentation Engineering National Korea Maritime and Ocean University Korea Republic of Department of Electronics and Electrical Engineering Dankook University Korea Republic of

In this paper, we propose a Takagi‒Sugeno (T‒S) fuzzy-model-based robust controller design of a morphing quadrotor system by considering input saturation. First, the closed-loop control system is expressed as the T‒S fuzzy model by considering the input saturation characteristics of the actuator of a morphing quadrotor. Then, we derive the robust controller design condition as linear matrix inequalities (LMIs) to enable the designed controller to become robust to parameter uncertainties and the input saturation characteristics of the control system. Finally, in the simulation example, we verify the validity of the proposed method by showing that the designed controller successfully stabilizes the attitude system of the quadrotor. © ICROS 2023.

关键词： Linear matrix inequalities

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Introduction to a motion control algorithm for the autonomous 4-wheel steering vehicle

Introduction to a motion control algorithm for the autonomou...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Cho, Yongseong Noh, Kangmin Lee, Eunchan Jeong, Hyunhwan Korea University Department of Control and Instrumentation Engineering 2522 Sejong-ro Sejong City Korea Republic of

ISBN: (纸本)9798331531614

This paper introduces a motion control algorithm for an autonomous four-wheel steering(4WS) vehicle system, which independently controls the steering angles of the front and rear wheels. This capability allows for three distinct driving modes: front steering mode, crab steering mode, and symmetrical steering mode. The proposed algorithm effectively uses these modes to achieve precise maneuverability, facilitating accurate navigation toward the target location. We conducted a kinematic analysis of the four-wheel steering vehicle, with a focus on its motion characteristics. A simple motion control law is developed using the kinematic analysis and the steering mode transition of the 4WS vehicle. To validate the feasibility and effectiveness of the proposed algorithm, initial numerical simulation results are presented. © 2025 IEEE.

关键词： Four wheel steering

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Solar-Powered EV Charging and Adaptive Irrigation System

Solar-Powered EV Charging and Adaptive Irrigation System

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2024 IEEE Region 10 Symposium, TENSYMP 2024

作者： Kumar, Shashwat Miglani, Yash Tomar, Anuradha Netaji Subhas University of Technology Dept. of Instrumentation & Control Engineering New Delhi India

ISBN: (纸本)9798350364866

Solar photovoltaic (PV) irrigation systems are emerging as a promising technology for regions with high solar irradiance and unreliable grid electricity. However, their intermittent use necessitates capacity optimization. To address this issue, this paper proposes a solar-powered system that integrates adaptive irrigation and electric vehicle (EV) charging. In order to maximize utilization of energy depending upon the demand in real time, the system dynamically divides power from the PV array between an EV battery and an induction motor for irrigation. This study demonstrates that when the PV power decreases from 2.6 kW to 1.58 kW, the EV battery compensates by discharging approximately 1 kW. This illustrates how the EV battery adjusts for periods of lower PV output by transferring energy to the irrigation motor, guaranteeing continued optimal functioning. The irrigation system employs a fuzzy logic controller (FLC) to optimize water flow rate by adjusting rotor speed via the voltage-hertz (V/f) method, based on soil moisture and temperature. At 44°C and 50% soil moisture level, the FLC evaluates a reference synchronous speed of 1200 RPM to precisely align the water flow rate with soil requirements. This integrated approach addresses inefficiencies in the conventional PV irrigation model. The proposed system is validated through MATLAB Simulink®. © 2024 IEEE.

关键词： Soil moisture

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LabVIEW Software for Design and Implementation of Particle Swarm Optimization Tuned controller for the Climate control of Greenhouse System 6th

LabVIEW Software for Design and Implementation of Particle S...

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6th International Conference on Information and Communication Technology for Intelligent Systems, ICTIS 2021

作者： Gandhi, Shriji V. Thakker, Manish Gandhi, Ravi Instrumentation and Control Engineering Gujarat Technological University Gujarat India Instrumentation and Control Engineering L.D. College of Engineering Gujarat India Electronics and Communication Engineering Silver Oak University Gujarat India

ISBN: (纸本)9789811935701

This paper presents the novel concept of simulation and optimized control of the greenhouse system (GHS). The greenhouse is a climate control system with protection boundaries that allow only solar light and no other outside environment element to enter. To provide a favorable environment to the crop, the dynamic behavior of the greenhouse system, the effect of parameters on each other, and disturbances effects should be determined. For full filling these requirements, the greenhouse simulator has been developed for modeling and control of the GHS. The greenhouse climate control system dynamics based on energy and mass balance is implemented using this simulator. The greenhouse climate control model has been implemented on this simulator which allows changing greenhouse design parameters, climate conditions, and functioning control strategies to understand the dynamic behavior of the greenhouse system. This paper presents the simulation of the greenhouse climate control system with open-loop and closed-loop structure;for a closed-loop control, particle swarm optimized (PSO) tuned controller is implemented to meet the desired climate requirements in the greenhouse system. The simulation results obtained for different scenarios with comparative studies are presented. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Greenhouses

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Input Delay control in Industrial Systems Using Advanced Disturbance Rejection Scheme 8

Input Delay Control in Industrial Systems Using Advanced Dis...

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8th IEEE International Conference for Convergence in Technology, I2CT 2023

作者： Kadu, C.B. Gawali, A.R. Bhosale, V.P. Vikhe, P.S. Pravara Rural Engineering College Department of Instrumentation & Control Engineering MS Loni India

ISBN: (纸本)9798350334012

In the area of control system, main objective is to ensure stability of process and minimize losses. Most industrial systems suffer from issue of slow operation or delayed operation due to input delay. In this study an operational scheme is developed to keep the process status within permissible delay limits. A controller for rejection of disturbance based on prediction is realized in sample time discrete form. The design is functional for steady state open-loop and uncertain systems. The deterministic states of system are estimated using extended state observer (ESO). The filter smith predictor is used to ensure output response free from delay and guarantee stability of the system with uncertainty and external disturbances. The simulation results of higher order systems are presented and compare with conventional control. © 2023 IEEE.

关键词： Disturbance rejection

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IMC Based PID controller for Spherical Tank Liquid Level control 1

IMC Based PID Controller for Spherical Tank Liquid Level Con...

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1st International Conference on AIML-Applications for engineering and Technology, ICAET 2025

作者： Kadu, C.B. Bhosale, V.P. Vikhe, P.S. Mandhare, V.V. Pravara Rural Engineering College Department of Instrumentation & Control Engineering Loni India Pravara Rural Engineering College Department of Computer Engineering Loni India

ISBN: (纸本)9798350355611

In the process industries, it's hard to control a non-linear process. Nonlinear behavior is frequently seen in real processes. The challenging problem of controlling a spherical tank is result of its nonlinearity caused by the continuously varying cross section. An IMC-based PID controller is employed to improve efficiency of controlling the level of spherical tanks which exhibit nonlinear dynamics. For processes up to second-order with dead time and first-order numerator dynamics, a single tuning parameter will be offered. The process model is determined employing mathematical modeling and standard step response-based system identification. The laboratory model of an interacting and non-interacting nonlinear system is introduced, which is capable of performing more complex tasks. To verify the effectiveness of the suggested IMC based PID controller, results of real-time experiments and a simulation study on spherical tank level control are incorporated. © 2025 IEEE.

关键词： Three term control systems

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Development Of Low-Cost Posture Detection System for Healthy Sitting

Development Of Low-Cost Posture Detection System for Healthy...

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2023 International Conference on System, Computation, Automation and Networking, ICSCAN 2023

作者： Kulkarni, Jayant Durgule, Prathamesh Kale, Krunal Deodhe, Urmisha Vishwakarma Institute of Technology Department of Instrumentation and Control Engineering Pune India

ISBN: (纸本)9798350315127

In today's fast-paced and demanding work culture, proper posture is essential for good health and well-being. This is particularly true for India's growing IT sector, where employees spend long hours sitting at desks. This paper presents an innovative and low-cost IoT solution that uses pressure distribution statistics gathered from three FSR sensors positioned on the chair's sitting and back sections to monitor body posture. The collected data is transmitted through a NodeMCU and stored in a Firebase database, which identifies the standard sitting posture of the shoulder blades and lower thighs. If the system detects incorrect posture, the FSR sensor immediately alerts the user via a Flutter app on their smartphone. This not only helps employees maintain a healthy posture, but also benefits the elderly and mobility-disabled individuals. © 2023 IEEE.

关键词： Personnel

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A Study on control strategies utilized for performance enhancement of antilock braking system

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Materials Today: Proceedings 2023年 80卷 128-133页

作者： Shiza, Noor Kumar Singh, Amit Department of Instrumentation and Control Engineering Dr. B.R. Ambedkar National Institute of Technology Jalandhar Punjab India

Since the evolution of the first reliable antilock braking system in 1970, research society has been experimenting with different control strategies that can be utilized for the performance enhancement of this control system. The main goal of an antilock braking system is to provide the stability and steerability to the vehicle with minimum stopping distance during braking. As this system is highly non-linear with good number of uncertainties, a lot of control strategies have been implemented on it. This paper provides a critical review of some of these strategies and gives a brief reference to the improvements made in the braking system to be utilized in antilock braking system. In conclusion the paper discusses the advantages and drawbacks of these control systems and tends to provide the future scope of antilock braking system with these strategies. © 2022

关键词： Model predictive control

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Stabilization of Inverted Pendulum using Neural Network controller 10

Stabilization of Inverted Pendulum using Neural Network Cont...

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10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024

作者： Kumar, Swetha R. Gunavarshini, R. Nithiyashri, S. Priyanka, G.S. Rithiga, R. Psg College of Technology Department of Instrumentation and Control Systems Engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9798350384369

The paper aims to develop an innovative and robust control system for stabilizing an inverted pendulum using a neural network controller. This combines principles of control theory with the power of artificial intelligence to address the complex and dynamic nature of the inverted pendulum problem. The controller used here is neural network model predictive controller. The data obtained from the plant model is used to train the neural network. Various numbers of hidden layers were given and their behaviour was analyzed and the one with the minimum error was chosen. The controller is trained to produce a result with the least amount of error by providing the reference signal and the error value as inputs. After the successful training, the neural network controller stabilizes the inverted pendulum model. © 2024 IEEE.

关键词： Inverted pendulum

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Smart Dosing: Harnessing AI for Alum dosage Predictions in Water Treatment

Smart Dosing: Harnessing AI for Alum dosage Predictions in W...

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2023 Intelligent Computing and control for engineering and Business Systems, ICCEBS 2023

作者： Mohanraj, K. Madhumita, S. Harini, M. Rohind Praveen Raj, S. Balaji, N. Jayanthi, G. Sri Sai Ram Engineering College Department of Instrumentation and Control Engineering Chennai India

ISBN: (纸本)9798350394580

Water treatment methods, such as coagulation, flocculation, and sedimentation, play a crucial role in maintaining water quality. However, these methods encounter limitations due to the increasing pollution stemming from household, agricultural, and industrial waste. In response to this issue, our study delves into the exploration of advanced machine learning algorithms (SVM, MLR, RFR) for a comprehensive analysis of water. The findings from our research contribute to the development of an innovative laboratory treatment plant designed to mitigate the environmental impact caused by water pollution. © 2023 IEEE.

关键词： agricultural waste coagulation environmental impact flocculation household waste industrial waste laboratory treatment plant machine learning algorithms MLR pollution RFR sedimentation SVM water treatment

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