Reducing voltage energy-saving control method of induction motor

Author(s):  
Zhou Jing-hua ◽  
Chen Cheng ◽  
Zhang Xiao-wei ◽  
Chen Ya-ai
2012 ◽  
Vol 512-515 ◽  
pp. 1163-1166
Author(s):  
Li Zhong Zhang ◽  
Shu Hong Jia ◽  
Xiao Jun Zhao ◽  
Yan Sun ◽  
Guo Dong Shi

This article introduce a kind of energy-saving control method and implementation for a tower pump in industrial cooling water system (hot tub→ up tower pump→ cooling tower→ cold pool). Under the conditions without changing the original industrial cooling water’s normal operating, the method of temperature control liquid-level under the protection of pressure to regulate and control the energy-saving process of cooling water on tower pump was used. According to the hot tub’s actual temperature and cold pool’s temperature which has process requirements can automatically regulate the hot tub’s liquid height or the height difference between hot tub and cold pool. It can finally automatically control the natural flow rate of the connected overflow hole or connecting pipe, thereby reducing the pump flow rate on tower to ensure the purpose of siginificant energy-saving on the basis of process demand. The comprehensive energy-saving rate can be 40% to 60% or more.


2012 ◽  
Vol 24 (1) ◽  
pp. 115-122 ◽  
Author(s):  
Guangqiang Lu ◽  
◽  
Sadao Kawamura ◽  
Mitunori Uemura

The energy-saving method for SCARA robots proposed in this paper utilizes elastic elements effectively in order to save energy for periodic motion. In other words, our method is based on resonance. Mechanically linearized robot dynamics with nondiagonal elastic-matrix elements are considered to save SCARA robot energy significantly. An adaptive elastic method and an adaptive viscosity compensation method are proposed. It is mathematically proven that robot motion controlled by the proposed method converges at the desired periodic motion and elasticity and viscosity parameters converge at ideal values. Several simulation results demonstrate the feasibility and robustness of the proposed method.


2014 ◽  
Vol 716-717 ◽  
pp. 470-473
Author(s):  
Jun Lu ◽  
Xin Wu ◽  
Yang Yan ◽  
Xiao Yun Zhang

The power saving and energy-saving control plays a crucial role in green building design. An intelligent electricity and heat saving control method is proposed based on PID control optimization control, this algorithm is applied in the design of green building, the collection of data is taken with feedback processing, the design method of energy saving and heat savingcontrol unit is presented in intelligent building, it provides the accurate basis for energy-saving and heat saving cycle control optimization design. The application of energy circulation control in design of green buildings is realized. The four layers real building is taken as the subjects in the experiment, the experimental results show that, the controller is applied in energy saving control of green building, it can effectively improve the control accuracy.


2016 ◽  
Vol 43 ◽  
pp. 439-447 ◽  
Author(s):  
Tomonori Kato ◽  
Genki Higashijima ◽  
Takanori Yazawa ◽  
Tatsuki Otsubo ◽  
Katsutoshi Tanaka

2020 ◽  
Vol 15 (3) ◽  
pp. 351-355
Author(s):  
Dongmei Li

Abstract In order to reduce the cost of central air conditioning, we need to reduce its energy consumption. This paper briefly introduced Internet of Things and the energy-saving and comfort monitoring system of central air conditioning based on the Internet of Things. The system took comfort degree as constraint and energy efficiency as objective to control energy saving of central air conditioning. Company X in Guanghan, Sichuan, China, was taken as an example for analysis. The system was compared with the energy-saving control system which took temperature and power as constraints. Compared with before the energy-saving control, the proportion of air conditioning downtime in the working hours of employees increased after the implementation of the two kinds of energy-saving control systems, and the proportion of downtime under the energy-saving control system designed in this study was larger; in addition, after the control of the two kinds of energy-saving systems, the energy efficiency of the air conditioning significantly improved, and the air conditioning under the control of the energy-saving system proposed in this study had more improvement in energy efficiency and higher energy-saving efficiency. The energy-saving control method proposed in this study can effectively reduce the power consumption of the central air conditioning in the office.


2018 ◽  
Vol 10 (8) ◽  
pp. 168781401879306 ◽  
Author(s):  
Li Gang ◽  
Yang Zhi

For four-wheel independently driven in-wheel motor electric vehicles, the four-wheel drive/braking torque can be controlled independently. Therefore, it has an advantage that energy saving control can be applied effectively. This article studies several energy saving control methods from two levels of driving and braking for four-wheel independently driven in-wheel motor electric vehicles under urban conditions based on the motor efficiency map. First, the energy saving control logic and the evaluation index were proposed in the article. The four-wheel drive torque was online optimized in real time through drive energy saving control, in order to improve the driving efficiency in the driving process of electric vehicles. According to the theory of ideal braking force distribution and Economic Commission of Europe braking regulations, the parallel regenerative braking control method based on the motor efficiency map was then studied. The parallel regenerative braking control method was applied to four-wheel independently driven in-wheel motor electric vehicles. The simulation analysis under typical urban driving cycle conditions was carried out to determine the braking intensity of the parallel brake front axle separate regenerative braking, and finally the braking energy recovery rate of electric vehicle can be improved in the low speed and low braking torque. Finally, simulation experiments have been carried out to verify the researched method under the NEDC, UDDS, and J1015 urban driving cycles. The simulation results show that the energy saving control methods have an obvious effect on energy saving under the urban driving cycle conditions.


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