Fuzzy Adaptive PID Algorithm Research Articles

Research on Tracking Control Technology Based on Fuzzy PID in Underwater Optical Communication

In order to realize effective laser communication on underwater mobile platforms, the active tracking and alignment technology of underwater laser communication (UWLC) is studied. Firstly, the servo control principle of the UWLC system is analyzed. Secondly, aiming at underwater disturbance, an adaptive fuzzy PID controller is designed to realize parameter self-tuning, thereby improving the system’s anti-disturbance ability. The designed algorithm was simulated, and the simulation results show that the adaptive fuzzy PID algorithm has better anti-disturbance ability and tracking performance than the traditional PID. Finally, an experimental platform was built for dynamic tracking experiments, and the results show that the dynamic tracking accuracy of the designed control algorithm was improved by 30.29% compared with the traditional control algorithm, which provides a certain reference for the development of laser communication on underwater moving platforms.

Precise control algorithm of rotational speed of the valve-controlled hydraulic motor under load fluctuating conditions.

The present study focuses on the analysis and design of a novel fuzzy adaptive PID control algorithm, aiming to enhance the speed control accuracy of valve-controlled hydraulic motors under load fluctuating conditions. The method of model identification was adopted to calculate the transfer function of valve-controlled hydraulic motor based on the established hydraulic technology scheme. The chassis of the valve-controlled hydraulic motor is subsequently investigated, and a model for E-grade pavement is constructed using the harmonic superposition method. Through dynamic simulation, the load fluctuation range under two common operating conditions is determined. The fuzzy adaptive PID algorithm was subsequently designed in detail, with the error and its rate of change being considered as input parameters, while the increments of the proportional coefficient, integral constant, and differential constant were regarded as output parameters. Co-simulation data indicate that, compared with the PID algorithm, the average error of the fuzzy adaptive PID algorithm can be reduced by more than 50% and the rise time is reduced by 0.04 seconds. To validate the theoretical analysis, a tracked hydraulic chassis was developed and tested. At an expected speed of 200 rev/min, the average error decreased by 1.68 rev/min, while at an expected speed of 1000 rev/min, the average error reduced by 2.68 rev/min. The designed intelligent control algorithm can effectively improve the control accuracy and stability under load fluctuating conditions.

Active Vibration Control of Thin-Walled Structure with Inertial Piezoelectric Actuator Based on Fuzzy Adaptive PID Algorithm

Active Vibration Control of Thin-Walled Structure with Inertial Piezoelectric Actuator Based on Fuzzy Adaptive PID Algorithm

Environment-friendly drying device based on distributed photovoltaic energy

In order to achieve sustainable development, reduce the consumption of disposable energy, and meet people’s increasing demand for energy-saving living equipment, an environmentally friendly drying device based on distributed photovoltaic energy is designed for drying and sterilizing daily supplies. The environment-friendly drying device drying device uses clean energy, no pollution, intelligent, efficient, low noise, and takes less than 1/4 of the traditional drying equipment.The environment-friendly drying device uses distributed photovoltaic energy to generate electricity, and the electrical energy is stored in the battery when the system is not in operation. The control system adjusts the working state of the heating and cooling systems in time to ensure the stability of the temperature during operation by using a fuzzy adaptive PID algorithm based on incomplete differentiation. Based on the Coanda effect, we independently designed a mechanical structure that doubles the air, enhances the wind mobility, and realizes air circulation and recirculation. The inner wall of the device is equipped with a sterilization device and uses ozone sterilization technology to strictly control the ozone concentration. At the same time, in order to better fit various sizes of clothing, we also design an intelligent control panel that can set personalized drying temperature and time.

Unmanned Sorting Site Combined with Path Planning and Barcode Identification

At present, the existing express sorting in the market has low accuracy and cannot be solved from manual handling. In addition, the management of express delivery sites is confusing, and the phenomenon of lost shipments is also endless. Regarding the issues above, we have proposed unmanned sorting site combining path planning and barcode identification. The site uses STM32 as the main control chip to realize barcode recognition and robotic arm control. Among them, barcode recognition uses calibration, image pre-processing and other related OpenMV technologies to realize fast identification, classification of express barcodes and obtain the location information of express shipments. The control of the robotic arm is achieved by using the D-H parameter method to locate each node of the robotic arm. And we are using introducing fuzzy adaptive PID algorithm to improve the control precision after path planning. After a large amount of experimental data analysis and comparison, the final conclusion is that the system can maintain high bar code recognition and fast picking accuracy under different conditions of different objects. And it can make up for many shortcomings of traditional express delivery sites and has certain market value.et value.

The fuzzy adaptive PID control of brushless DC motor

Brushless direct current motor (BLDCM) is a complicated system with multivariable, nonlinear and strong coupled. The present work devotes to design a fuzzy adaptive PID algorithm based on the speed loop so that it could crack the traditional PID problems which include bad parameter setting, poor adaptability, imprecise control and weak anti-interference so on. In this paper, the mathematical model and operating characteristics of BLDCM are analyzed. Then, the simulation platform is built by MATLAB/Simulink. Finally, the control effects of PI, PID and fuzzy adaptive PID are compared and analyzed. The results indicate that the fuzzy adaptive PID is better robustness, faster response, smaller overshoot and more stable operation than others.

Research on Hydraulic Robot for Pipe Handling Based on Adaptive Fuzzy-PID Control

In order to improve the control performance of the pipe handling robot and the tracking effect of manipulator trajectory, the adaptive fuzzy-PID algorithm was applied to the joint control of robot arm. According to the nonlinear and time-varying parameters of valve-controlled asymmetric hydraulic cylinders extending and retracting movement, considering the influence of hydraulic pipeline and oil compressibility, a mathematical model of valve-control asymmetric hydraulic cylinder system was established. The dynamic response of the system model was studied based on the co-simulation of AMESim and Simulink. The results showed that compared with regular PID, the adaptive fuzzy PID controller could effectively suppress the nonlinear effect caused by oil compressibility, and reduce the response time of the system. At the same time, it could enhance the anti-interference ability of the system, and improve the dynamic tracking performance of the pipe handling robot.

Coordination Control of Differential Drive Assist Steering and Vehicle Stability Control for Four-Wheel-Independent-Drive EV

The differential drive assist steering (DDAS) system improves the handiness of steering by torque difference between two-side wheels. However, the DDAS and the vehicle stability control (VSC) will interfere with each other due to the same actuators. This paper proposes a hierarchical coordination control approach for the DDAS and VSC. The system is divided into four layers: the parameter estimation layer, the control region division layer, the coordination decision layer, and the control allocation layer. In the control region division layer, the stable area is firstly determined on the $\beta - \dot{\beta }$ phase portrait, and the coordinated control region is obtained by applying the simulated annealing algorithm inwardly and outwardly to the boundary of the stable area. In the coordination decision layer, the direct control strategy of steering hand wheel torque is used to establish the controller of the DDAS based on the fuzzy adaptive PID algorithm. At the same time, the controller of yaw moment is established based on the sliding mode control theory. In the stable region, the DDAS works separately. The VSC works separately in the unstable region. In the coordination region, the Sigmoid function is used to adjust the weight coefficient of the DDAS dynamically. Besides, the control allocation layer includes torque distribution controller and vehicle slip ratio controller. Finally, the vehicle model is established in CarSim, the control strategy, and the wheel motor model are established in Simulink. The joint simulation results of several typical conditions show that the designed control strategy can improve the handling stability of the vehicle effectively while DDAS working even in severe driving condition.

Implementation of Textile Air Conditioning Intelligent Monitoring System Based on Internet of Things

The traditional textile enterprise air conditioning system has deficiency such as temperature and humidity adjusting by manual work, low degree of automation, information management relative lagging and large error. According to the information management needs of modern textile, this paper design temperature and humidity monitoring system based on internet of things. The system is composed of three parts of remote monitoring subsystem, database subsystem and local monitoring subsystem. The system uses CC-LINK field bus, GPRS communication and computer network, and can control data remotely and on site. Combined with the characteristics of textile temperature and humidity, humidity priority control strategy is presented, and adaptive fuzzy-PID algorithm is adopted to tune the PID parameters on line. The results show that, the system dates transfer stability, temperature and humidity can be centralized and remote control, improving the level of enterprise information management, saving energy and reducing consumption.

Method of Fuzzy Adaptive PID Algorithm Applying to Engineering Practice

The fuzzy adaptive PID algorithm in MATLAB is packed to VB and applied to engineering practice without Matlab environment, it is called like internal strategy in configuration software, it lays the foundation for the intelligent control strategy in the configuration software and online simulation control system.

Application of Adaptive Fuzzy-PID Algorithm in Control of Pipeline Pressure

Mathematical model of pipeline pressure is built according to mass conservation. Aiming at solving the poor adaptability of routine PID algorithm and the disturbance of inlet steam, adaptive fuzzy-PID algorithm and Feed-forward controller are proposed in the control system. System simulation is conducted by MATLAB, and parameter self-tuning rules determined by different errors are studied. Simulation results show that the pressure control system has better static and dynamic performance such as quicker response, smaller overshoot and better capacity of resisting disturbance.

A Fuzzy Adaptive Force Controller Design of Robotic Manipulators for Pick-and-Placing Thin Brittle Materials

For the pick-and-place operations of GDL, this paper presents and obtains the control system model using system identification method, and analyzes three distinct stages for the motion characteristics in pick-and-place operations. To satisfy the stick requirements for contact force control, a force controller based on fuzzy adaptive PID algorithm and a position controller based on feed-forward control are presented and designed. Simulations are carried out to verify the feasibility and effectiveness of the proposed control method. The above control strategies and methods are applied to pick up and place GDL. They can also be extended to the pick-and-place operations of the chips and other filed, which has broad application prospects.

The Slip Frequency Control Based on Fuzzy Adaptive PID Algorithm

As three-phase asynchronous motor is a complex system with time-varying multiple-input multiple-output, strong coupling, nonlinear and at least seven order differential equations. So the use of linear and fixed PID parameters to control slip frequency system cannot give well consideration to dynamic and static performance. In order to improve the control effect and enhance the robustness, this paper put forward a slip frequency control scheme of fuzzy self-adaptive PID algorithm, which is based on the complementary combination of advantages between PID control and fuzzy control. The control structure and design method of implementation scheme are given, and the simulation was conducted by MATLAB. The simulation results show that the scheme is feasible as it has better dynamic and static performance than conventional PID control.

Research on Tension Control Model for Traction and Take-up System of Loom

This paper does some researches on the framework and control mechanism of traction and take-up system of Loom, which keep the winding tension constant. A traction and take-up control model using fuzzy neutral network adaptive PID algorithm is designed. The results prove this model is available in constant tension control system. The constant tension control system makes traction and take-up system operate more precisely and improves the quality of fabric.