The Research on the Application of Intelligent Robots in Small Storage and Logistics Based on Improved PID Control Algorithm

2012 ◽  
Vol 220-223 ◽  
pp. 1230-1235
Author(s):  
Ke Man Hu ◽  
Hai Yan Hu
Keyword(s):  
Control System ◽  
Motion Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Parameter ◽  
Adjustment Process ◽  
Control Parameters ◽  
Motion Control System ◽  
Intelligent Robots ◽  
Scalar Part

Studying on PID control algorithm and through the analysis of the control parameter of scalar part, integration part and derivation part, the author investigates systematically on the motion control system of the intelligent robots in small storage and logistics, and presents an improved PID control algorithm. The improved PID control algorithm not only maintains the merits of the original one, but also simplifies the multifarious adjustment process of the control parameters of scalar part, integration part and derivation part. The improved algorithm turns out to be effective after the simulation and verification by the MATLAB and can be applied and promoted to other practical controls field.

scholarly journals Heading Control System Design for a Micro-USV Based on an Adaptive Expert S-PID Algorithm

2018 ◽  
Vol 25 (2) ◽  
pp. 6-13 ◽  
Author(s):  
Runlong Miao ◽  
Zaopeng Dong ◽  
Lei Wan ◽  
Jiangfeng Zeng
Keyword(s):  
Control System ◽  
System Design ◽  
Motion Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control System Design ◽  
Motion Control System ◽  
Expert Control ◽  
Pid Algorithm ◽  
Heading Control

Abstract The process of heading control system design for a kind of micro-unmanned surface vessel (micro-USV) is addressed in this paper and a novel adaptive expert S-PID algorithm is proposed. First, a motion control system for the micro-USV is designed based on STM32-ARM and the PC monitoring system is developed based on Labwindows/CVI. Second, by combining the expert control technology, S plane and PID control algorithms, an adaptive expert S-PID control algorithm is proposed for heading control of the micro-USV. Third, based on SL micro-USV developed in this paper, a large number of pool experiments and lake experiments are carried out, to verify the effectiveness and reliability of the motion control system designed and the heading control algorithm proposed. A great amount of comparative experiment results shows the superiority of the proposed adaptive expert S-PID algorithm in terms of heading control of the SL micro-USV.

The Track-Controlling System for Mobile Greenhouse Robots

2013 ◽  
Vol 387 ◽  
pp. 258-261
Author(s):  
Lei Huang ◽  
Deng Xiang Yang ◽  
Qun Feng Zhu
Keyword(s):  
Control System ◽  
Motion Control ◽  
Control Algorithm ◽  
Control Parameters ◽  
Motion Control System ◽  
Stability Constraint ◽  
Controlling System ◽  
Photoelectric Encoder ◽  
The Impact

This paper targets on the study of the motion control system for greenhouse robots, and researches into the realization of the linear track control algorithm on robots motion control, demonstrating the feasibility and stability constraint of the algorithms. The author also analyzes the impact of different control parameters on the moving tracks through simulation, then applies the algorithm to the actual robot-controlling, and has designed an effective controlling system for mobile greenhouse robots based on gyroscopes and photoelectric encoder.

DESIGN OF SURGE AND ROLL MOTION CONTROL SYSTEM OF ITSUNUSA AUV USING PID CONTROLLER

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 139
Author(s):  
Teguh Herlambang ◽  
Subchan Subchan
Keyword(s):  
Control System ◽  
Motion Control ◽  
Pid Control ◽  
Pid Controller ◽  
Autonomous Underwater Vehicle ◽  
Motion Equation ◽  
Roll Motion ◽  
Proportional Integral Derivative ◽  
Motion Control System ◽  
Nonlinear Motion

ABSTRACT This paper is about designing motion control system with 2-DOF motion equation to be applied to an Autonomous Underwater Vehicle (AUV) system. The 2-DOF motion equation which consists of surge and roll motion in the form of equations of nonlinear motion. The control system design applied to the ITSUNUSA AUV system uses the Proportional Integral Derivative (PID) method. The simulation results of the PID control system with the motion equation with 2-DOF on the ITSUNUSA AUV system show that the system proves to be stable at a predetermined set-point with an error of 0.01% for surge motion and that with an error of 4.2% for roll motion.  Keywords: AUV, motion control, PID

Motion Control System and Control Algorithm of 3-Axes Platform Based on Controller Area Network

2014 ◽  
Vol 532 ◽  
pp. 196-199
Author(s):  
Cheng Long Zhou ◽  
Xing Song Wang ◽  
Yu Liang Mao
Keyword(s):  
Control System ◽  
Motion Control ◽  
Control Algorithm ◽  
Controller Area Network ◽  
Numerical Control ◽  
Area Network ◽  
Motion Controller ◽  
Motion Control System ◽  
And Control ◽  
Control Machine

3-axes motion is broadly used in industry numerical control machine. Many motion controller we use are usually limited by the number of interface it consist. But the kind of motion controller based on CAN (Controller Area Network ) can solve this problem properly. We can add a controller of one axe conveniently. I use a Advantech CAN motion controller to build the motion control system.

PID Parameter Fuzzy Self-Tuning of the Motion Control System

2014 ◽  
Vol 552 ◽  
pp. 187-191
Author(s):  
Meng Xiong Zeng ◽  
Jin Feng Zhao ◽  
Wen Ouyang
Keyword(s):  
Control System ◽  
Motion Control ◽  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Inference ◽  
Inference Method ◽  
Motion Control System ◽  
Control Precision ◽  
Self Tuning ◽  
Fuzzy Control Strategy

In the motion control system, the fuzzy self-tuning of PID parameter is the combination of fuzzy control strategy and traditional PID control, and it is an effective method to improve the control precision. The paper discussed the principle of fuzzy self-adapted PID controller and the parameter fuzzy adjustment, and it realized self-tuning online of PID parameter for the motion control system by using a fuzzy inference method, and the controller was simulated in application of motion control system under the environment of Matlab/Simulink. The simulation result indicated the self-adaptive PID controller enable the motion control system to achieve the satisfied effect.

Sign in / Sign up

Export Citation Format

Share Document