A Study of Simulation of Hydropreumatic Suspension Experiment Rig Based on AMESim and Matlab/Simulink

2014 ◽  
Vol 599-601 ◽  
pp. 207-211
Author(s):  
Zhi Qiang Chao ◽  
Chu Ming Ning ◽  
Hua Ying Li
Keyword(s):  
Pid Control ◽  
Hydraulic System ◽  
Control Algorithm ◽  
Scientific Basis ◽  
Servo Control ◽  
Fuzzy Pid Control ◽  
Servo Control System ◽  
Hydraulic Servo ◽  
Excellent Control ◽  
And Control

By analyzing the mechanical and control module of electro-hydraulic servo control system of hydropreumatic suspension experiment rig, and finding the corresponding mathematical model, and constructing a controller with fuzzy PID control algorithm, and then using AMESim with the accurate modeling of the hydraulic system and Simulink with powerful data analysis and processing functions for system to simulate to verify the experiment rig excellent control performance, which can effectively provide a scientific basis for the optimization of vehicle safety and comfort.

Application of Improved Fuzzy PID Control Algorithm in Heating Furnace

2011 ◽  
Vol 383-390 ◽  
pp. 760-763
Author(s):  
Hong Jun Wang ◽  
De Xiong Li ◽  
Hui Juan Qi ◽  
Li Na Liu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Gas Flow ◽  
Control Program ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Modeling And Control ◽  
And Control ◽  
Fuzzy Control Algorithm ◽  
Better Than

e furnace of steel plant is a complex controlled object and it has the properties of nonlinear, Time-varying and delay. Its modeling and control are very difficult. The temperature control of the furnace mainly depends on the control of gas flow. Therefore, the study of a reasonable gas flow control program is the key to increase the level of heating control. In this paper, an improved fuzzy PID control algorithm is proposed, in which, PID control algorithm and fuzzy control algorithm are integrated together, and its characteristics are improved according to feature of furnace. This made the algorithm to have good adaptability and Interference capability. The simulation results show that the improved control algorithm is better than traditional algorithm in overcoming the non-liner, delay of the object and the performance is excellent.

Self-Adaptive PID Control of Hydraulic Quadruped Robot

2014 ◽  
Vol 496-500 ◽  
pp. 1407-1412
Author(s):  
Kai Chang ◽  
Xiao Jian Han ◽  
Yong Yang
Keyword(s):  
Pid Control ◽  
Hydraulic System ◽  
Control Algorithm ◽  
Quadruped Robot ◽  
Joint Control ◽  
Strong Nonlinearity ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Tools ◽  
Control Pattern

Servo hydraulic system is important one of driving patterns of quadruped robot. While servo hydraulic system has characteristics of parameters time-varying and strong nonlinearity, so traditional PID control pattern cannot meet all the control demands well. To solve these problems, a set of control hardware is designed for a quadruped robot and a new control algorithm which can adjust PID parameters in real-time condition based on fuzzy control theory is proposed. By deducing transfer function, establishing system model and using MATLAB simulation tools to simulate the two algorithms, we compared the two algorithms and the simulation result turns out that compared with traditional PID control algorithm, the fuzzy PID control algorithm has features such as low overshoot, high stability precision, strong robustness. At the same time, the result turns out that the fuzzy PID control algorithm is much fitter for the joint control of quadruped robot.

PID Parameters Adjustment Based on PMAC Control Card

2011 ◽  
Vol 291-294 ◽  
pp. 2954-2957
Author(s):  
Ming Xin Zhu ◽  
Zhong Yi Yang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Servo Control ◽  
Control Parameters ◽  
Control Performance ◽  
Control Card ◽  
Servo Control System ◽  
Motion Control Card ◽  
Following Error ◽  
Control Accuracy

This paper analyze the importance of using PID servo-control parameters based on PMAC motion control card. The control accuracy can be improved greatly in PMAC servo control system. And the following error can be reduced substantially, control algorithm of PID based on PMAC is given and tested by experiment of PID control performance.

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