714 Energy Saving Control of Air Active Suspension Using Low Pressure Supply

2000 ◽  
Vol 005.1 (0) ◽  
pp. 245-246
Author(s):  
Toshiro NORITSUGU ◽  
Yasuhiro SUGA ◽  
Koichi HASHIMOTO ◽  
Masahiro TAKAIWA
Keyword(s):  
Energy Saving ◽  
Active Suspension ◽  
Low Pressure ◽  
Energy Saving Control

Energy-saving control strategy design and structure realization for electromagnetic active suspension

2018 ◽  
Vol 233 (9) ◽  
pp. 3060-3075 ◽  
Author(s):  
Renkai Ding ◽  
Ruochen Wang ◽  
Xiangpeng Meng
Keyword(s):  
Energy Saving ◽  
Active Control ◽  
Control Strategy ◽  
Dynamic Performance ◽  
Active Suspension ◽  
Linear Motor ◽  
Suspension System ◽  
Passive Damping ◽  
Energy Regeneration ◽  
Energy Saving Control

An electromagnetic active suspension equipped with a linear motor can remarkably improve the dynamic performance of a vehicle in terms of ride comfort and handling stability. However, electromagnetic active suspensions consume a considerable amount of external energy. Therefore, an energy-saving control strategy and its corresponding realization structure are designed to reconcile the contradiction between the dynamic performance and energy consumption. The energy conservation feasibility of an electromagnetic active suspension system is investigated in this study. Subsequently, the conventional skyhook control strategy is used as a reference; a passive damping is introduced to improve the defects of the system for an active control. It can also ensure the basic dynamic performance during energy regeneration. The energy-saving control strategy is placed beside the switch between the active control and energy regeneration. The vehicle simulation manifests that the energy-saving control strategy can effectively inhibit body movement, including vibration, roll, and pitch, while exhibiting a good road holding. A single linear motor used for the suspension system deteriorates the dynamic performance during energy regeneration and cannot guarantee the system reliability because of its low passive damping. Thus, a new integrated electromagnetic actuator prototype is developed, and the bench test shows that the prototype can satisfy the control requirements of the energy-saving control strategy.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

Design of Energy-Saving Control Software Algorithms in Large Industrial Network

2014 ◽  
Vol 644-650 ◽  
pp. 828-831
Author(s):  
Wen Lai Liu
Keyword(s):  
Energy Saving ◽  
Control Network ◽  
Fuzzy Pid Control ◽  
Industrial Control ◽  
Genetic Method ◽  
Software Algorithms ◽  
Operation Process ◽  
Industrial Network ◽  
Energy Saving Control ◽  
Industrial Control Networks

In the operation process of large industrial control network, with conventional fuzzy PID control algorithm for industrial control networks energy-saving control, excessive industrial networks will aggravate machine wear of the single network, thereby reduce the effect of energy-saving for industrial network. This paper presents an approach for industrial network energy-saving control based on non-uniform data production rate. According to the relationship between the network load and loss, the loss model of industrial control network can be established. Adaptive linear genetic method is utilized to control industrial control network energy-saving load, so as to achieve energy-saving control of industrial control network. Experimental results show that the algorithm can effectively improve the energy-saving efficiency of industrial control network, and achieve satisfactory results.

Energy Saving Control Strategy for the High-Frequency Start-up Process for Electric Mining Haul Trucks

2018 ◽  
Vol 3 (4) ◽  
pp. 595-606 ◽  
Author(s):  
Yingjie Zhang ◽  
Ying Zhang ◽  
Zhaoyang Ai ◽  
Yun Feng ◽  
Wei Cheng ◽  
...  
Keyword(s):  
Energy Saving ◽  
Control Strategy ◽  
High Frequency ◽  
Start Up ◽  
Energy Saving Control
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