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Fuzzy pid controllers
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In this paper, we propose a system using fuzzy PID controller, STM32F103C8T6 microcontroller, ESP8266 wifi module to monitor DC motor speed and some parameters to evaluate the quality of the system through web server. System simulation on Matlab-Simulink confirms the effectiveness of this controller.
7p
vithomson
02-07-2024
1
0
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Improving driver ride comfort of a wheel loader is important to avoid potential health hazards from the whole-body vibration. A fuzzy self-tuning of PID controller is designed to control the damping coefficient of Semi-active cab isolation system (SCIS) for a wheel loader. A dynamic model of a wheel loader is establish under survey conditions for analysis and evaluation.
7p
viambani
18-06-2024
3
1
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With a classic Proportional-Integral-Derivative (PID) control, the trajectory tracking performance is not high because a fixed set of PID parameters does not solve the enhancing performance problem. Therefore, in this paper, a fuzzy PID control (FPIDC) for a PAM is presented to improve the trajectory tracking performance. The efficiency of the proposed controller has been verified by experiment under different conditions.
7p
vibranson
30-11-2023
7
4
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This paper proposes a novel intelligent control algorithm in dealing with the load-frequency control problem of a two-area interconnected thermal power system. This control methodology applying a modified PID controller with three parameters tuned by a reasonable fuzzy logic inference structure.
10p
vijeff
30-11-2023
5
3
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This paper verifies again both Fuzzy and PID algorithms in controlling a 2D crane system. This article also proposes a fuzzy controller with four inputs and one output used to control 2D crane system. In this paper, both algorithms are proved to work well with crane model in simulation and real experiment.
6p
vidoctorstrange
06-05-2023
5
2
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This paper represents superior properties of advanced control methods such as Fuzzy Logic, Neural network to PID controller for uncertainties systems to achieve good tracking response in real time. All three control methods are based on the feedback error signal that is then calculated on the processor through algorithms and outputting the optimal control signals.
7p
vidoctorstrange
06-05-2023
10
4
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This paper presents a method of using fuzzy algorithm to change flexibly control parameters of PID when system operates. Thence, control quality is improved. Object which is used for testing in this paper is pendubot- a popular model in laboratories of control engineering, balance control for pendubot at Top position as a requirement.
7p
vidoctorstrange
06-05-2023
12
4
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Các bộ điều khiển PI, PD, PID được sử dụng một cách rộng rãi trong công nghiệp đối với các đối tượng điều khiển tuyến tính vì tính đơn giản và hiệu quả của nó. Bài viết trình bày việc thiết kế bộ điều khiển mờ (Fuzzy Logic Controller – FLC) tối ưu dựa trên thuật toán tối ưu bầy đàn (Particle Swarm Optimization - PSO).
8p
vimalfoy
08-02-2023
14
4
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Bài viết Nâng cao chất lượng điều khiển hệ thống van điều khiển – bình mức bằng bù mờ PID trình bày kết quả của việc áp dụng bộ điều khiển logic mờ lai PID (fuzzy PID controller) để điều khiển hệ thống van - bình mức khi hệ thống có tham số thay đổi với mục đích đáp ứng của hệ thống luôn bám theo quỹ đạo chuẩn.
5p
vijaguar
16-11-2022
21
4
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A new force control model of a haptic feedback device for the robotic teleoperation is analyzed. Forces applied to the haptic device through human hand movements are modeled as disturbances to the force control system. A detailed analysis for modeling haptic device and human hand is provided.
6p
vikoenigsegg
29-09-2022
11
6
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In this paper, Hybrid Fuzzy-PID controllers for current and speed control loops were suggested. Simulations with MATLAB Simulink for the electric shovel hoisting controllers were implemented and compared with conventional PID controller. Simulation results show that control quality of the hoisting drive is improved with the Hybrid Fuzzy-PID controllers.
8p
vishivnadar
17-01-2022
10
0
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Gasoline is mainly created by converting light and heavy naphtha from crude oil distillation column. Overhead temperature of main column is the most important parameter in quality control of gasoline. This protocol would offer two pathways to control the overhead temperature of crude oil distillation column in refinery. In this offer, temperature, flow parameters are cotrolled by proportional integral and derivative (PID) and fuzzy PID controllers. The feasibility and effectiveness of the proposed method are verified by the simulation results using Matlab/Simulink.
10p
nguaconbaynhay10
29-01-2021
8
1
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In this study, a combination of backstepping technique, double recurrent fuzzy wavelet based on neural networks (DRFWBONNs), adaptive sliding mode controller (ASMC), and adaptive proportional-integral (API) control with dead-zone friction is introduced to the industrial robot manipulator (IRM). Simulation results show the high performance of this control method when compared to adaptive-fuzzy (AF) and proportional-integral-derivative (PID) controller.
8p
quenchua10
18-01-2021
30
2
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In this paper, an improved fuzzy particle swarm optimization (IFPSO) algorithm is proposed and used to solve the optimization problem for WTRS under frequency and load disturbances conditions.
17p
vivalletta2711
11-01-2020
13
0
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Bài viết trình bày về mô hình toán học của máy bay bốn cánh (quadcopter) được mô tả bằng cách sử dụng các phương trình Euler-Newton. Bài viết trình bày về vấn đề điều khiển bay ổn định và điều khiển bám quỹ đạo đặt cho UAV sử dụng bộ điều khiển PID truyền thống và bộ điều khiển mờ lai Fuzzy - PD.
5p
vitunis2711
11-12-2019
56
4
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In this paper, the author proposes a method modified on-line the parameters of the PID controller based on combining the hedge algebras control and model reference system. This proposal has inherited the adaption of hedge algebras control deal with the uncertain systems or nonlinear systems and the sustainability of model reference system for load disturbances and measurement noise.
10p
viengland2711
23-07-2019
16
1
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The paper presents a new method for tracking control of EOTS (Electro-Optical Tracking System) operating in mobile environment such as ship, air plane, tank and so on. This makes the base body of the EOTS has angular motion. The control alogorithm used in this paper is adaptive fuzzy sliding mode. The overall control is built and simulated in Matlab and compared with a sliding mode controller and a conventional PID controller. The simulation result illustrated the effectiveness of the proposed controller.
12p
shiwo_ding7
05-06-2019
19
1
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In this paper, we have investigated the intelligent control of a hydraulically driven parallel robot based on the dynamic model and two control schemes have been developed: 1) Fuzzy-PID self tuning controller composed of the conventional PID control and with Fuzzy logic; 2) Adaptive neuro-fuzzy inference system-PID (ANFIS-PID) self tuning of the gains of the PID controller.
8p
cathydoll5
27-02-2019
41
1
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Bài báo này trình bày tóm tắt về hai phương pháp thiết kế bộ điều khiển nhiệt độ dùng PID và FLC (Fuzzy Logic Controller) để ổn định nhiệt độ cho hệ thống gia nhiệt CRT 916921 tại trường Đại học Kỹ thuật Công nghiệp. Đồng thời bài báo này cũng khảo sát chất lượng của hệ thống gia nhiệt khi có nhiễu tác động. Việc thực thi luật điều khiển trên được xây dựng trên môi trường Visual Basic 6.0 sử dụng chuẩn giao tiếp RS232 và được đóng gói để thuận tiện cho việc cài đặt.
6p
doctorstrange1
21-06-2018
148
16
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The study proposes an intelligent lower extremity rehabilitation training system controlled by adaptive fuzzy controllers (AFCs) and impedance controllers (ICs). The structure of the robotic leg exoskeleton can be divided into three parts including hip joint, knee joint, and ankle joint, which are driven by linear actuators and pulleys. Therefore, the movement of the robotic leg exoskeleton can be controlled by driving the linear actuators. The results of simulation reveal that the design of the proposed controllers presents good performances and effectiveness.
5p
doctorstrange1
15-06-2018
33
2
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