Design of multi-step stepper motor coordinated control system based on bresenham algorithm

2017 ◽  
Author(s):  
Min Dai ◽  
Yuan Chen ◽  
Chaoqiang Zheng ◽  
Guo Yiming
Keyword(s):  
Control System ◽  
Coordinated Control ◽  
Stepper Motor

scholarly journals Compensation Design of Coordinated Control System for Supercritical Once-through CHP Plants Based on Energy Analysis

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Tuoyu Deng ◽  
Liang Tian ◽  
Chengxi Zhou ◽  
Xinping Liu ◽  
Wenlei Dou
Keyword(s):  
Control System ◽  
Energy Analysis ◽  
Coordinated Control ◽  
Compensation Design

scholarly journals Coordination of Lateral Vehicle Control Systems Using Learning-Based Strategies

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1291
Author(s):  
Balázs Németh
Keyword(s):  
Control System ◽  
Control Systems ◽  
Coordinated Control ◽  
Front Wheel ◽  
Steering Angle ◽  
Conventional Model ◽  
Linear Parameter Varying ◽  
Coordination Strategy ◽  
Torque Vectoring ◽  
Performance Specifications

The paper proposes a novel learning-based coordination strategy for lateral control systems of automated vehicles. The motivation of the research is to improve the performance level of the coordinated system compared to the conventional model-based reconfigurable solutions. During vehicle maneuvers, the coordinated control system provides torque vectoring and front-wheel steering angle in order to guarantee the various lateral dynamical performances. The performance specifications are guaranteed on two levels, i.e., primary performances are guaranteed by Linear Parameter Varying (LPV) controllers, while secondary performances (e.g., economy and comfort) are maintained by a reinforcement-learning-based (RL) controller. The coordination of the control systems is carried out by a supervisor. The effectiveness of the proposed coordinated control system is illustrated through high velocity vehicle maneuvers.

A Model Improvement of a Supercritical Unit Coordination Control System

2013 ◽  
Vol 680 ◽  
pp. 488-494
Author(s):  
Hai Ming Niu ◽  
Zhong Xu Han ◽  
Huan Pao Huang ◽  
Hong Min Zhang
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Coordinated Control ◽  
Coordination Control ◽  
Model Improvement ◽  
Unit Coordination ◽  
The Mathematical Model ◽  
Controlled Object

Base on the mathematical model of a common coordinated control system in field of thermal, by analyzing characteristics of the controlled object supercritical once-through boiler coordinated control system, the article puts forward suggestions for improvement, and verifies the results of the analysis by test.

Pressure Coordinated Control System of Regenerative Braking Based on Hardware of ABS for HEV

2011 ◽  
Vol 121-126 ◽  
pp. 3406-3410 ◽  
Author(s):  
Yang Yang ◽  
Yang Yang ◽  
Da Tong Qin ◽  
Jin Li
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Coordinated Control ◽  
Regenerative Braking ◽  
Design And Optimization ◽  
Braking System ◽  
Dynamic Performances ◽  
Simulation Results

A new kind of pressure coordinated control system suite of regenerative braking system for hybrid electric vehicles (HEV) is proposed in this paper on the basis of appropriate transformation on traditional hydraulic braking system with ABS. AMEsim modular simulation platform is used to build a simulation model of the system. Dynamic performances of the key components and system are simulated and analyzed. And the simulation results show the effectiveness and feasibility of the pressure coordinated control system, which lays the foundation of the design and optimization for the regenerative braking system.

scholarly journals RESEARCH AND IMPROVEMENT OF PRECISE ANGLE CONTROL SYSTEM

2010 ◽  
Vol 2 (1) ◽  
pp. 95-98
Author(s):  
Sigitas Šakalinis
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Controller Design ◽  
Stepper Motor ◽  
Main Task ◽  
Test Rig ◽  
Positioning Accuracy ◽  
Technical University

The main task was investigation and precision improve­ment for a positioning drive, installed in a test rig for testing and calibration of the geodetic instruments at Vilnius Gediminas Technical University, Institute of Geodesy. Replacement of a stepper motor and a microstepping controller design increased positioning accuracy to 0.1''. Vibrations and noise of the test rig were significantly decreased using an optimized control algorithm, where resonating step frequencies were bypassed. The time of scale rotation between measurements (every 30°) achieved less than 1.5 min. Methods of the further precision improvement were selected, and this research is in progress now.

scholarly journals The application of Deep Reinforcement Learning in Coordinated Control of Nuclear Reactors

2021 ◽  
Vol 2113 (1) ◽  
pp. 012030
Author(s):  
Jing Li ◽  
Yanyang Liu ◽  
Xianguo Qing ◽  
Kai Xiao ◽  
Ying Zhang ◽  
...  
Keyword(s):  
Control System ◽  
Reinforcement Learning ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Reactor ◽  
Coordinated Control ◽  
Level Control ◽  
Simulation Experiments ◽  
Reinforcement Learning Model ◽  
Reactor Control System

Abstract The nuclear reactor control system plays a crucial role in the operation of nuclear power plants. The coordinated control of power control and steam generator level control has become one of the most important control problems in these systems. In this paper, we propose a mathematical model of the coordinated control system, and then transform it into a reinforcement learning model and develop a deep reinforcement learning control algorithm so-called DDPG algorithm to solve the problem. Through simulation experiments, our proposed algorithm has shown an extremely remarkable control performance.

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