Energy Saving Control Strategies: Motor-Driven Active Suspension

2019 ◽  
pp. 219-231
Author(s):  
Weichao Sun ◽  
Huijun Gao ◽  
Peng Shi
Keyword(s):  
Energy Saving ◽  
Control Strategies ◽  
Active Suspension ◽  
Energy Saving Control

Energy-saving control strategies for a ferromagnetic shape memory alloy based actuator

2016 ◽  
Vol 249 ◽  
pp. 112-121 ◽  
Author(s):  
E. Asua ◽  
J. Jugo ◽  
M. Eguiraun ◽  
A. García-Arribas ◽  
J. Feuchtwanger ◽  
...  
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Energy Saving ◽  
Control Strategies ◽  
Ferromagnetic Shape Memory Alloy ◽  
Ferromagnetic Shape Memory ◽  
Energy Saving Control

scholarly journals Finding Resilient and Energy-saving Control Strategies in Smart Homes

2016 ◽  
Vol 83 ◽  
pp. 976-981 ◽  
Author(s):  
Stefano Marrone ◽  
Ugo Gentile
Keyword(s):  
Energy Saving ◽  
Control Strategies ◽  
Smart Homes ◽  
Energy Saving Control

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.

Comprehensive Analysis for Influence of Controllable Damper Time Delay on Semi-Active Suspension Control Strategies

2017 ◽  
Vol 139 (3) ◽  
Author(s):  
Yechen Qin ◽  
Feng Zhao ◽  
Zhenfeng Wang ◽  
Liang Gu ◽  
Mingming Dong
Keyword(s):  
Time Delay ◽  
Dynamic Characteristics ◽  
Ride Comfort ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Control Strategies ◽  
Active Suspension ◽  
Test System ◽  
Suspension Control ◽  
Simulation Results

This paper presents a comprehensive comparison and analysis for the effect of time delay on the five most representative semi-active suspension control strategies, and refers to four unsolved problems related to semi-active suspension performance and delay mechanism that existed. Dynamic characteristics of a commercially available continuous damping control (CDC) damper were first studied, and a material test system (MTS) load frame was used to depict the velocity-force map for a CDC damper. Both inverse and boundary models were developed to determine dynamic characteristics of the damper. In addition, in order for an improper damper delay of the form t+τ to be corrected, a delay mechanism of controllable damper was discussed in detail. Numerical simulation for five control strategies, i.e., modified skyhook control SC, hybrid control (HC), COC, model reference sliding mode control (MRSMC), and integrated error neuro control (IENC), with three different time delays: 5 ms, 10 ms, and 15 ms was performed. Simulation results displayed that by changing control weights/variables, performance of all five control strategies varied from being ride comfort oriented to being road handling oriented. Furthermore, increase in delay time resulted in deterioration of both ride comfort and road handling. Specifically, ride comfort was affected more than road handling. The answers to all four questions were finally provided according to simulation results.

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.

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