Fuzzy control

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   Download

Part 2 of ebook "Elements of robotics" provides readers with contents including: Chapter 9 - Mapping; Chapter 10 - Mapping-based navigation; Chapter 11 - Fuzzy logic control; Chapter 12 - Image processing; Chapter 13 - Neural networks; Chapter 14 - Machine learning; Chapter 15 - Swarm robotics; Chapter 16 - Kinematics of a robotic manipulator;...

163p daonhiennhien 03-07-2024 1 1   Download

A Knowledge-based Decision Support System (KB-DSS) based on a multi-stage Fuzzy Logic Controller (MS-FLC) is developed for traffic congestion management on expressways. In a case study, the KB-DSS is evaluated on a simulated network in comparison to ALINEA\Q, a popular ramp control method, across various traffic and incident situations.

15p viwalton 02-07-2024 1 1   Download

This paper aims to propose a design of a type-2 fuzzy cerebellar model articulation controller for uncertain nonlinear systems, which achieves high stability and accuracy for controlling magnetic levitation systems.

10p viwalton 02-07-2024 2 1   Download

In this paper, we propose a wavelet type-2 fuzzy brain imitated controller (WT2FBIC) for nonlinear robotic systems. The suggested method combines a wavelet type-2 fuzzy system (WT2FS) and a brain imitated controller (BIC) to improve learning efficiency.

11p viwalton 02-07-2024 2 1   Download

Part 1 of ebook "Advances in smart technologies in structural engineering" provides readers with contents including: fuzzy chip controllers and wireless links in smart structures; semi-active friction damping of flexible lightweight structures; design of adaptive structures under random impact conditions; damage detection of structures using spectral element method;...

92p mothoiphong 28-06-2024 1 1   Download

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   Download

Part 2 of ebook "Measuring technology and mechatronics automation in electrical engineering" provides readers with contents including: hardware-in-the-loop for on-line identification of SSP driving motor; hybrid adaptive fuzzy vector control vector control for single-phase induction motors; hybrid intelligent algorithm based on hierarchical encoding for training of RBF neural network; improved fuzzy neural network for stock market prediction and application; landslide recognition in mountain image based on support vector machine;...

259p dongmelo 20-05-2024 5 1   Download

House of Risk Method is used to identify the most potential risk agents, while the fuzzy reasoning risk assessment model is used to determine the risk severity by risk agents. Based on the analysis, it is found that risk agent stock out of the product is the most potential risk agent in this industry. To reduce the impact, mitigation strategies are suggested for stock out product risk agents in warehouse are flexible supply base, safety stock, internal coordination, as well as create and control production schedules.

5p longtimenosee10 26-04-2024 2 1   Download

In this research we developed a supply chain management strategy for the waste controlling in the construction industry. While the bulky volume of construction wastes poses a great environmental threat to urban areas, response to it remains meager. Hence, this paper presents four primary factors affecting the management of construction wastes in Vietnam using fuzzy logic.

4p longtimenosee09 08-04-2024 3 1   Download

The paper presents the result of the dynamics simulation of automated guided vehicles (AGVs) using four Mecanum omnidirectional wheels when the tilt angle of each wheel’s roller is changed. Mecanum omnidirectional wheels have the ability to work flexibly, but operators are generally concerned about the vehicle’s efficiency issues.

11p vibego 02-02-2024 3 0   Download

The paper introduces fuzzy observer-based control for rotary inverted pendulum systems, renowned for their inherent instability and complexity. We leverage the Takagi-Sugeno (T-S) fuzzy model, which involves the incorporation of local linear models described by fuzzy rules, thus enabling precise and stable control.

9p vibego 02-02-2024 1 0   Download

The inverted pendulum on a cart is a challenging and widely studied control problem in the fields of control systems and robotics. To address the need for more effective control strategies, this article presents a novel approach that combines the strengths of two powerful control techniques: Linear-Quadratic Regulator (LQR) and Takagi-Sugeno (T-S) fuzzy control.

15p vibego 02-02-2024 3 1   Download

In this study, a control system is proposed for the induction servomotor to achieve the highprecision speed tracking based on wavelet fuzzy cerebellar model articulation controller. In this proposed scheme, the wavelet fuzzy cerebellar model articulation controller (WFCMAC) is used to imitate an ideal controller due to it incorporates the advantages of the wavelet decomposition property with a fuzzy CMAC fast learning ability and the smooth compensator controller with bound estimation is designed to attenuate the effect of the approximation error caused by the WFCMAC approximator.

13p vimarillynhewson 02-01-2024 3 3   Download

This article is based on published works on fuzzy control for robots in general and mechanical processing robots to analyze the applicability of fuzzy control for mechanical machining robots. The article provides detailed information on fuzzy controller design, determining input and output variables, and proportional mapping to determine the number of fuzzy sets and the corresponding type of membership function.

39p vialfrednobel 21-12-2023 4 4   Download

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   Download

In this paper, the control design for the grid-connected converter used as a part of the wind turbine generator is discussed. First, the three-phase T-type multilevel converter, which exhibits several advantages such as low total harmonic distortion, reduced voltage stress, and switching loss, is employed for the power stage. Second, finite control set model predictive control (FCS-MPC) is adopted to achieve a multi-objective optimization solution for the inner grid-connected current control loop.

8p vibranson 30-11-2023 5 5   Download

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   Download

The paper presents the modeling and design of a control system using the TS fuzzy model, with a focus on the application in the inverted pendulum system. The section concludes with a detailed presentation of the simulation results, which showcase the efficacy of the suggested approach in stabilizing the inverted pendulum.

7p vijeff 30-11-2023 4 3   Download

Ebook "Computational Intelligence in Control" contains 4 sections, includes: Section I: neural networks design, control and robotics application; section II: hybrid evolutionary systems for modelling, control and robotics applications; section III: fuzzy logic and bayesian systems; section IV: machine learning, evolutionary optimisation and information retrieval.

346p haojiubujain08 01-11-2023 5 2   Download