scholarly journals A FUZZY PID CONTROLLER MODEL USED IN ACTIVE SUSPENSION OF THE QUARTER VEHICLE UNDER MATLAB SIMULATION

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Eman Mohammed
Keyword(s):  
Pid Controller ◽  
Active Suspension ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Controller

The Design and Simulation of Scheelite Alkali Autoclave Reactor Fuzzy-PID Controller

2014 ◽  
Vol 599-601 ◽  
pp. 1098-1101
Author(s):  
Xiao Yao Luo ◽  
Bin Chen ◽  
Meng Yu ◽  
Qi Xiong
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Autoclave Decomposition ◽  
Object Of Control ◽  
Autoclave Reactor

In view of the present situation of scheelite smelting technology in China, we analyze the existing equipment and process problems,put forward the technique of mechanical enhancement of scheelite and alkali autoclave decomposition method combining with the temperature, the temperature of reaction kettle as the main object of control, the fuzzy control and PID control combined to design a two-dimensional fuzzy controller, through the MATLAB simulation results show that, the control effect, safety and feasibility of good.

Design of Fuzzy-PID Controller for Ride Comfort Enhancement of a Half-Vehicle with Active Suspension System

2013 ◽  
Vol 313-314 ◽  
pp. 382-386
Author(s):  
Wen Kui Lan ◽  
Er Dong Ni
Keyword(s):  
Pid Controller ◽  
Passive Control ◽  
Ride Comfort ◽  
Control Method ◽  
Active Suspension ◽  
Suspension System ◽  
The Body ◽  
Fuzzy Pid ◽  
Vehicle Model ◽  
Fuzzy Pid Controller

A fuzzy-PID controller is developed and applied to the active suspension system for the ride comfort enhancement of a half-vehicle model. A four degree-of-freedom vehicle model with active suspension system is proposed, which focused on the passenger’s ride comfort performance, and a fuzzy-PID controller is developed by incorporating the fuzzy logic control mechanism into the modifications of the PID structure. The performance of the proposed controller has been verified by comparing it with passive control method in MATLAB/Simulink. The simulation results indicate that the developed fuzzy-PID controller enhances the ride comfort performance of the vehicle active suspension system by reducing the body acceleration and pitch angle significantly.

Research on Automatic Leveling System of Railway Rescue Crane

2014 ◽  
Vol 909 ◽  
pp. 241-246
Author(s):  
Ling Zhang ◽  
Jun Peng Shao ◽  
Gui Tao Sun ◽  
Bing Wei Gao ◽  
Zhao Hui Jin ◽  
...  
Keyword(s):  
Pid Controller ◽  
Control Algorithm ◽  
Control Process ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Control ◽  
Pid Algorithm ◽  
Fuzzy Pid Controller ◽  
Logic Control ◽  
Working Principle

Automatic leveling system used in railway rescue crane has characteristics such as time variance, nonlinearity and strong interference, which bring a variety of difficulties in control process into existence. This paper introduces the working principle and mathematical model of automatic leveling system used in railway rescue crane. A fuzzy PID controller based on fuzzy logic control algorithm and conventional PID algorithm is designed, MATLAB simulation results show that the effectiveness of the proposed fuzzy PID controller, and the fuzzy PID control strategy has better effect on the automatic leveling system used in railway rescue crane.

Active Suspension Control Based on Particle Swarm Optimization

2020 ◽  
Vol 13 (1) ◽  
pp. 60-78
Author(s):  
Shaobin Lv ◽  
Guoqiang Chen ◽  
Jun Dai
Keyword(s):  
Particle Swarm Optimization ◽  
Pid Controller ◽  
Ride Comfort ◽  
Control Strategies ◽  
Particle Swarm ◽  
Active Suspension ◽  
Fuzzy Pid ◽  
Swarm Optimization ◽  
Fuzzy Pid Controller ◽  
Suspension Control

Background: The active suspension can be adjusted in real time according to the change of road condition and vehicle state to enhance the performance of active suspension that has received widespread attention. Suspension control strategies and actuators are the key issues of the active suspension, and are the main research directions for active suspension patents. Objective: The numerical analysis method is proposed to study the performance characteristics of the active suspension controlled by different controllers. Methods: The active suspension control model and control strategy based on particle swarm optimization are established, and two active suspensions controlled by the sliding mode controller and the fuzzy PID controller are proposed. Moreover, two active suspension systems are optimized by particle swarm optimization. Results: The results of the analysis show that the performance of the active suspension is significantly improved compared with the passive suspension when the vehicle runs on the same road. The ride comfort of the active suspension controlled by the fuzzy PID controller has the best adaptive performance when the vehicle runs on different grade roads or white noise roads. The active suspension controlled by the fuzzy PID controller has the best ride comfort. Conclusion: A good control strategy can effectively improve the performance of the active suspension. To improve the performance of the active suspension, it can be controlled by utilizing different control strategies. The results lay a foundation for the active suspension experiments, the dynamic analysis and the optimization design of suspension structure.

Influence of Fuzzy-PID Controller on Semi-Active Suspension System Performance Using Magnetorheological Damper Fuzzy Model

2014 ◽  
Vol 663 ◽  
pp. 243-247 ◽  
Author(s):  
Mohammadjavad Zeinali ◽  
Saiful Amri Mazlan ◽  
Mohd Azizi Abdul Rahman
Keyword(s):  
Pid Controller ◽  
Fuzzy Model ◽  
Active Suspension ◽  
Suspension System ◽  
Magnetorheological Damper ◽  
Fuzzy Pid ◽  
Improve Performance ◽  
Fuzzy Pid Controller ◽  
Neuro Fuzzy ◽  
Better Than

Semi-active suspension system is a promising device to improve performance of the suspension system by using optimal controller for magnetorheological damper. The importance of magnetorheological damper is the capability to control the semi-active suspension system by adjusting the input current exerted to the coil of wire to produce magnetic field. In this paper, a fuzzy-PID controller has been applied in a quarter car semi-active suspension system to examine the performance of the system. The whole suspension system is modelled in Simulink environment/MATLAB software in which a neuro-fuzzy model of magnetorheological damper is utilized as a mathematical model of the damper. A disturbance profile is utilized to evaluate performance of the system. Simulation results show that the proposed semi-active suspension system has successfully absorbed disturbances much better than PID controller. In addition, the accuracy of the magnetorheological damper model influences the performance of the semi-active suspension system.

Study on Ride Comfort of Automobile Active Suspension

2014 ◽  
Vol 505-506 ◽  
pp. 356-359
Author(s):  
Xiang Chen ◽  
Lin Yan Zhang
Keyword(s):  
Pid Controller ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Uncertain System ◽  
Active Suspension ◽  
Step Function ◽  
Fuzzy Pid ◽  
Adaptive Fuzzy ◽  
Fuzzy Pid Controller ◽  
Self Adaptive

A half-vehicle model with 4-DOF was built up. In response to a nonlinear, time delay and uncertain system of automobile suspension, an improved self-adaptive fuzzy PID controller of the active suspension was designed. Taking SANTANA2000s suspension parameter for simulation and taking a step function as the input of simulation road, time-domain simulation in Matlab was finished. The simulation result indicates that the ride comfort was improved obviously by using the active suspension with improved self-adaptive fuzzy PID controller. The time of response reach to steady state was shortened notably. The active suspension with improved self-adaptive fuzzy PID controller is superior to the passive suspension and the simple active suspension with fuzzy controller in improving the ride comfort and maneuverability. All of these advantages are of considerable referential values in development of vehicles active suspension controller.

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