scholarly journals Pre-compensation for a Hybrid Fuzzy PID Control of a Proportional Hydraulic System

10.5772/15202 ◽  
2011 ◽  
Author(s):  
Pornjit Pratumsuwan ◽  
Chaiyapon Thongchaisuratkrul
Keyword(s):  
Pid Control ◽  
Hydraulic System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Hybrid Fuzzy Pid

Application of Hybrid Fuzzy-PID Control with Coupled Rules in the Hydraulic Positioning System

2012 ◽  
Vol 220-223 ◽  
pp. 402-405
Author(s):  
Li Hong Dong
Keyword(s):  
Fuzzy Logic ◽  
Hydraulic System ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Fast Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Positioning Control ◽  
Fuzzy Pid Controller ◽  
Hybrid Fuzzy Pid

According to the nonlinearity and time-variation of the positioning control in hydraulic system, a kind of Hybrid Fuzzy-PID Controller with Coupled Rules (HFPIDCR) is proposed. In this control system, the bulk modulus is considered as a variable. The novelty of this controller is to combine the fuzzy logic and PID controllers in a switching condition. Simulation results of the HFPIDCR are compared with the results of traditional PID, Fuzzy Logic Controller (FLC), and Hybrid Fuzzy-PID Controller (HFPID). It is demonstrated that the HFPIDCR has fast response, short adjustment time, high control precision and other advantages, and it can meet the requirements of the positioning control in hydraulic system.

Hybrid Fuzzy PID Control of Hydraulic Robot

2002 ◽  
Author(s):  
Rong Liu ◽  
Xuanyin Wang ◽  
Xuchu Huang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Nonlinear Differential Equations ◽  
Target Position ◽  
Hydraulic Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Linear Control Theory ◽  
Uncertain Dynamics ◽  
Hybrid Fuzzy Pid

This paper presents a fuzzy tracking control methodology for hydraulic control system of robot with generalized pulse modulation (GPCM) control by combining the merits of fuzzy logic and conventional linear control theory. The hydraulic control systems with GPCM control have the high nonlinearity and uncertain dynamics, therefore the simple linear or nonlinear differential equations cannot sufficiently represent corresponding practical system. The designed controllers based on the model cannot guarantee the good performance such as stability and robustness. A hybrid of fuzzy and PID control algorithm is proposed as the solution. The control algorithm is separated into two parts: fuzzy control and PID control. The fuzzy controller is used to control the piston when the piston is near the desired position, and PID controller is applied when the piston is far away the target position. The hybrid fuzzy PID is implemented on computer and applied to control the arms of hydraulic robot with GPCM control. The results from the experiments show that the proposed hybrid fuzzy PID control has good performance.

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.

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