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Shuoqi Li,Jiaolei Zhang,Cong Wang,Xiangui zhu,Hongru Shi 대한운동학회 2019 아시아 운동학 학술지 Vol.21 No.2
[OBJECTIVES] To compare the affective responses and enjoyments to acute high-intensity training (HIIT) with short or long intervals in young and obese females. [METHODS] Participants completed two bouts of HIIT which were separated over 48 hours respectively. The exercise protocols were cycling on an ergometer at 90%VO2peak intensity for 4 minutes with 3 minutes recovery(Low-frequency interval, Group L) or 40 seconds cycling with 30 seconds recovery (High-frequency interval, Group H) until 200 KJ mechanical work was completed. At the time of 0%, 25%, 50%, 75% and 100% work was completed, the feeling scale (FS), rating of perceived exertion (RPE) were recorded, and the blood lactic acids (LA) were measured when the 50% and 100% work was completed. The physical activity enjoyment scale (PAES) was recorded 5 minutes after the exercise. [RESULTS] Before the exercise, there were no significant differences between the group H and L in terms of the HR, RPE, FS and LA. When 25%, 50%, 75% and 100% of work was completed, the HR and the RPE in group H were all lower than the corresponding time point in group L. The LA in group H was lower than the corresponding values in group L when 50% and 100% work was completed. At the time of 75% and 100% work was completed, the FS in group H was higher than group L, although there were no significant differences at the time of 25% and 50% work done between the two groups. By the end of exercise, the PAES score in group H was higher than group L. [CONCLUSIONS] Increasing the frequency of interval could increase the positive feeling during HIIT and improve the physical activity enjoyment.
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Yiding Wang,Jianhui Su,Jidong Lai,Bao Xie,Yong Shi,Hongru Yu 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.1
Brushless doubly fed generator (BDFG) generally adopts double closed-loop vector control strategies. Owing to the influence of BDFG coupling parameters, the accuracy of feedforward decoupling parameters is very important; however, the complexity of the BDFG model makes its winding parameters difficult to identify. On the basis of the characteristics of the BDFG system control model and the decoupling control conditions, this study proposes a method for identifying the integrated coupling parameter. This method first uses particle swarm optimization to identify the coefficients of the current closed-loop transfer function. Then, the values of the integrated coupling parameters are calculated on the basis of the relationship between the coefficients of the current closed-loop transfer function and the integrated coupling parameters of the BDFG. This method bypasses the challenge of directly identifying BDFG winding parameters and can be used directly to design the controller. Experiments are performed using a 30 kW BDFG platform to prove the feasibility and effectiveness of the proposed method.
KCI
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