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He Cheng,Hao Chen,Shaohui Xu,Shunyao Yang 전력전자학회 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.6
Switched reluctance motor (SRM) is suitable for electric vehicle (EV) applications with the advantages of simple structure, good overload capability, and inherent fault-tolerance performance. The SRM dynamic simulation model is built based on torque, voltage, and flux linkage equations. The EV model is built on the basis of the analysis of forces acting on a vehicle. The entire speed range of the SRM drive is then divided into constant torque and constant power areas. The command torque of the motor drive system is given according to the accelerator pedal coefficient and motor operation areas. A novel adaptive variable angle control is proposed to avoid the switching chattering between the current chopping control and angle position control modes in SRM drives for EV applications. Finally, simulation analysis and experimental results are conducted to verify the accuracy of the proposed simulation model and control strategy.
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Braking Torque Closed-Loop Control of Switched Reluctance Machines for Electric Vehicles
He Cheng,Hao Chen,Zhou Yang,Weilong Huang 전력전자학회 2015 JOURNAL OF POWER ELECTRONICS Vol.15 No.2
In order to promote the application of switched reluctance machines (SRM) in electric vehicles (EVs), the braking torque closed-loop control of a SRM is proposed. A hysteresis current regulator with the soft chopping mode is employed to reduce the switching frequency and switching loss. A torque estimator is designed to estimate the braking torque online and to achieve braking torque feedback. A feed-forward plus saturation compensation torque regulator is designed to decrease the dynamic response time and to improve the steady-state accuracy of the braking torque. The turn-on and turn-off angles are optimized by a genetic algorithm (GA) to reduce the braking torque ripple and to improve the braking energy feedback efficiency. Finally, a simulation model and an experimental platform are built. The simulation and experimental results demonstrate the correctness of the proposed control strategy.
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A GENETIC ALGORITHM BASED ON OPTIMALITY CONDITIONS FOR NONLINEAR BILEVEL PROGRAMMING PROBLEMS
Hecheng Li,Yuping Wang 한국전산응용수학회 2010 Journal of applied mathematics & informatics Vol.28 No.3
For a class of nonlinear bilevel programming problems in which the follower's problem is linear, the paper develops a genetic algorithm based on the optimality conditions of linear programming. At first,we denote an individual by selecting a base of the follower's linear programming, and use the optimality conditions given in the simplex method to denote the follower's solution functions. Then, the follower's problem and variables are replaced by these optimality conditions and the solution functions, which makes the original bilevel programming become a single-level one only including the leader's variables. At last, the single-level problem is solved by using some classical optimization techniques, and its objective value is regarded as the fitness of the individual. The numerical results illustrate that the proposed algorithm is efficient and stable.
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A GENETIC ALGORITHM BASED ON OPTIMALITY CONDITIONS FOR NONLINEAR BILEVEL PROGRAMMING PROBLEMS
Li, Hecheng,Wang, Yuping The Korean Society for Computational and Applied M 2010 Journal of applied mathematics & informatics Vol.28 No.3
For a class of nonlinear bilevel programming problems in which the follower's problem is linear, the paper develops a genetic algorithm based on the optimality conditions of linear programming. At first, we denote an individual by selecting a base of the follower's linear programming, and use the optimality conditions given in the simplex method to denote the follower's solution functions. Then, the follower's problem and variables are replaced by these optimality conditions and the solution functions, which makes the original bilevel programming become a single-level one only including the leader's variables. At last, the single-level problem is solved by using some classical optimization techniques, and its objective value is regarded as the fitness of the individual. The numerical results illustrate that the proposed algorithm is efficient and stable.
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RBPJ contributes to acquired docetaxel resistance in prostate cancer cells
Li Xue,Zhenlong Wang,Hecheng Li,Zhaolun Li,Qi Chen,Peng Zhang,Haiwen Chen,Ziming Wang,Tie Chong,T. Chong 대한독성 유전단백체 학회 2017 Molecular & cellular toxicology Vol.13 No.3
Our previous work has shown that depletion of recombination signal-binding protein J (RBPJ) results in reduced cell growth in prostate cancer cells. In this study, we aimed to investigate the function of RBPJ in the chemoresistance of prostate cancer. The expression of RBPJ was quantified in docetaxel-resistant and parental prostate cancer cells. Loss- and gainof- function experiments were conducted to explore the regulatory role of RBPJ in prostate cancer sensitivity to docetaxel. The pro-apoptotic effect of RBPJ silencing was checked in docetaxel-resistant prostate cancer cells. We found that docetaxel-resistant PC3-DR and DU145- DR cells expressed 3-5-fold high levels of RBPJ than parental PC3 and DU145 cells. Short hairpin RNAmediated knockdown of RBPJ inhibited cell proliferation and colony formation and reversed docetaxel resistance in docetaxel-resistant prostate cancer cells. In contrast, overexpression of RBPJ promoted cell growth, colony formation, and docetaxel resistance in parental prostate cancer cells. Downregulation of RBPJ induced apoptosis in docetaxel-resistant cells, which was accompanied by enhanced cleavage of caspase-3. In addition, RBPJ silencing or overexpression markedly modulated the expression of the Bcl-2 family members including Bcl-2, Bcl-xL, Mcl-1, Bax, and Bak. Altogether, RBPJ contributes to acquisition of docetaxel resistance in prostate cancer cells and may thus represent a potential target for overcoming chemotherapeutic resistance in this malignancy.
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Peihe Zheng,Yinbin Chen,Yangyang Fu,Hecheng Wang,Jia Wang,Siwen Zheng,Shengyuan Xiao,Yingping Wang 한국식품영양과학회 2017 Journal of medicinal food Vol.20 No.11
After cultivation of ginseng, ginsenosides, which are the major active ingredients of gingeng, were approved for use by the food industry, and began to be used as added functional ingredients to try to improve the quality and price of functional foods. However, the interaction between different types of ginsenosides and nutrients needs further study. We investigated the effect of B-complex vitamins (which are essential nutrients) on the pharmacokinetics of the ginsenosides protopanaxatriol-type saponin Rg1, protopanaxadiol-type saponin Rb1, and oleanolic acid-type saponin Ro after oral administration. Ginsenosides Rg1, Rb1, and Ro, with or without B-complex vitamins, respectively, were administered orally to rats to evaluate their pharmacokinetics. The concentration of ginsenosides in plasma was determined by liquid chromatography/tandem mass spectrometry. Pharmacokinetic parameters were fitted using WinNonlin v6.2. After oral coadministration with B-complex vitamins, the area under the concentration–time curve from zero to infinity (AUC0–∞) of ginsenoside Rg1 was reduced by 70%, that of ginsenoside Rb1 was reduced by 43%, and that of ginsenoside Ro was reduced by 34%. The AUC0–∞ of ginsenosides Rg1 and Rb1 showed significant differences between different treatments, but the AUC0–∞ of ginsenoside Ro did not. These results suggest significant ginsenoside-nutrient interactions between ginsenosides Rg1, Rb1, and B-complex vitamins.
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