Power Equipment Control in Four-Footed Bearing-Burden Robot Dog

2014 ◽  
Vol 513-517 ◽  
pp. 3328-3331
Author(s):  
Jun Wang ◽  
Lian He ◽  
You Tong Zhang
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Neural Control ◽  
System Control ◽  
Power Equipment ◽  
Electronic Control ◽  
Control Effect ◽  
Electronic Control System ◽  
And Control ◽  
Experimental Bench

To meet the control demand of power equipment in robot dog, development on control system for robot dog is made. Based on the brief analysis of demand in power and configure in power assembly of robot dog, whole design sketch of control system for power is presented, electronic control system based on MC9S12DP512 microprocessor and neural control algorithm for network structure PID is found. Control algorithm and control effect of control system is verified in experimental bench, experimental results showed that designed control system control effect is stable and it can meet the design requirement in transient speed adjusting and stable speed fixing.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

Design Forelectronic Control System of Charged Robot Maintenance Manipulator

2014 ◽  
Vol 1049-1050 ◽  
pp. 1004-1008
Author(s):  
Dan Dan Zhang ◽  
Xiao Qiang Wu
Keyword(s):  
Control System ◽  
Electronic Control ◽  
Working Process ◽  
Main Structure ◽  
Main Research ◽  
The Core ◽  
Remote Operation ◽  
Electronic Control System ◽  
And Control

In this paper, the maintenance manipulator of charged robot is discussed as the main research object. It analyzes the characteristics of the main structure and movement form of the charged robot maintenance manipulator. The analysis of working process and control requirements is made for manipulator. A control system which uses the Siemens S7-200 as the core, is designed to achieve the remote operation and control of manipulator. This article discusses the components of the system and how the electronic control system achievesthe control of each joint with PLC controller as the core.

scholarly journals Data-Driven Control Algorithm for Snake Manipulator

2021 ◽  
Vol 11 (17) ◽  
pp. 8146
Author(s):  
Kai Hu ◽  
Lang Tian ◽  
Chenghang Weng ◽  
Liguo Weng ◽  
Qiang Zang ◽  
...  
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Control Method ◽  
Data Driven ◽  
System Control ◽  
Control Effect ◽  
Policy Gradient ◽  
System Data ◽  
Stability And Accuracy ◽  
Manipulator Control

In some environments where manual work cannot be carried out, snake manipulators are instead used to improve the level of automatic work and ensure personal safety. However, the structure of the snake manipulator is diverse, which renders it difficult to establish an environmental model of the control system. It is difficult to obtain an ideal control effect by using the traditional manipulator control method. In view of this, this paper proposes a data-driven snake manipulator control algorithm. After collecting data, the algorithm uses the strong learning and decision-making ability of the deep deterministic strategy gradient to learn these system data. A data-driven controller based on the deep deterministic policy gradient was trained in order to solve the manipulator system control problem when the control system environment model is uncertain or even unknown. The data of simulation experiments show that the control algorithm has good stability and accuracy in the case of model uncertainty.

Design of Electronic Control System for Free-Piston Engine Generator

2014 ◽  
Vol 538 ◽  
pp. 417-420
Author(s):  
Dao Jing Wang ◽  
Yi Tong Jiang ◽  
Fu Shui Liu
Keyword(s):  
Control System ◽  
Modular Design ◽  
Electronic Control ◽  
Single Chip ◽  
Piston Engine ◽  
Free Piston ◽  
Differential Signal ◽  
Electronic Control System ◽  
Free Piston Engine ◽  
And Control

Based on Infineon XC167, an electronic control system was designed for internal combustion free piston engine generator (FPEG). The displacement was output in form of 4 channel differential signal by Coaxial magnetic grid, so the signal processing circuit was designed, and the displacement signal can be trapped by single-chip micro-controller; according to the current displacement, the ignition pulse width and ignition position was calculated by the single-chip micro-controller, ignition pulse was output; the operation parameter was monitored and control parameter was adjusted by PC. The test results show that: modular design was introduced in the design of electric control system, and it monitors and controls the FPEG accurately, the control objectives are achieved.

scholarly journals Recoverable autonomous sonde for subglacial lake exploration: electronic control system design

2021 ◽  
pp. 1-17
Author(s):  
Shilin Peng ◽  
Xiao Jiang ◽  
Yongzhen Tang ◽  
Chong Li ◽  
Xiaodong Li ◽  
...  
Keyword(s):  
Control System ◽  
System Design ◽  
Video Recording ◽  
Control System Design ◽  
Electronic Control ◽  
High Definition ◽  
Water Conductivity ◽  
Camera System ◽  
Subglacial Lake ◽  
Electronic Control System

Abstract Subglacial lake exploration is of great interest to the science community. RECoverable Autonomous Sonde (RECAS) provides an exploration tool to measure and sample subglacial lake environments while the subglacial lake remains isolated from the glacier surface and atmosphere. This paper presents an electronic control system design of 200 m prototype of RECAS. The proposed electronic control system consists of a surface system, a downhole control system, and a power transfer and communication system. The downhole control system is the core element of RECAS, and is responsible for sonde status monitoring, sonde motion control, subglacial water sampling and in situ analysis. A custom RS485 temperature sensor was developed to cater for the limited size and depth requirements of the system. We adopted a humidity-based measurement to monitor for a housing leak. This condition is because standard leak detection monitoring of water conductivity may be inapplicable to pure ice in Antarctica. A water sampler control board was designed to control the samplers and monitor the on/off state. A high-definition camera system with built-in storage and self-heating ability was designed to perform the video recording in the subglacial lake. The proposed electronic control system is proven effective after a series of tests.

The Research of Air Precooling System Based on Generalize Predictive Control Strategy

2013 ◽  
Vol 433-435 ◽  
pp. 1091-1098
Author(s):  
Wei Bo Yu ◽  
Cui Yuan Feng ◽  
Ting Ting Yang ◽  
Hong Jun Li
Keyword(s):  
Predictive Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Exchange Process ◽  
Generalized Predictive Control ◽  
Matlab Simulation ◽  
Control Effect ◽  
Heat Exchange Process ◽  
Complex Control System ◽  
And Control

The air precooling system heat exchange process is a complex control system with features such as: nonlinear, lag and random interference. So choose Generalized Predictive Control Algorithm that has low model dependence, good robustness and control effect, as well as easy to implement. But due to the large amount of calculation of traditional generalized predictive control and can't juggle quickness and overshoot problem, an improved generalized predictive control algorithm is proposed, then carry out the MATLAB simulation, the experimental results show that the algorithm can not only greatly reduce the amount of computation, but also can restrain the overshoot and its rapidity.

Design of Electronic Control System of High-Grade Textile Machine Based on CAN Bus

2012 ◽  
Vol 503-504 ◽  
pp. 1580-1583
Author(s):  
Hui Shan Yu ◽  
Shou Hui Zhang ◽  
Xiao Kua Ji ◽  
Xin Jian Liu
Keyword(s):  
Control System ◽  
Can Bus ◽  
Fast Response ◽  
High Grade ◽  
Electronic Control ◽  
Accuracy Control ◽  
Operating Personnel ◽  
Electronic Control System ◽  
Textile Machine ◽  
Low Efficiency

According to some problems of Low efficiency of the current domestic Textile Machine，Reliability is bad，The operating personnel labor intensity，A single product varieties and so on. Design of electronic control system of high-grade textile machine based on CAN Bus. The system with RENESAS SH7047 chips as the controller chip, Realize the all of the interrupt signal, sensor signal detection, fuzzy PID algorithm and main shaft encoder location, Through the CAN bus transmission way to complete accuracy control ac servo system. The actual operation commissioning proves the electronic control system has the fast response, and robust, more kinds of textile and so on.

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