Ding Xiying

A new control strategy of Doubly-fed Induction Machine for Hybrid Electric Vehicle

In this paper, a new electrical drive model of Hybrid Electric Vehicles (HEV) of Doubly-Fed Induction Machine (DFIM) wheel drive is provided; two DFIMs are used in this new drive model to constitute the doubly-fed electrical drive system. The DFIM can recover slip power, which is the best advantage of it. The power from inverters is supplied to stator and rotor of each DFIM. In such a case, stator and rotor are separately controlled by direct torque control (DTC), or both of them is simultaneously controlled. This paper focuses on the latter. when a vehicle makes a turn, the inner wheel will rotate slower than the outer one. Then, slip power will flow from the slower rotating motor rotor to the faster rotating motor rotor. Vehicles in traveling straight the inner and outer rotors will recover slip power to batteries. Thus the copper loss will be reduced to the minimum.

A novel direct torque control based on variable structure control in Hybrid Electric Vehicle induction machine drive

According to the requirements of the HEV for frequent start-stop, power feed-back, low speed high torque in climbing, boosting in accelerating and high efficiency, this paper proposes a motor drive system based on variable structure control. During different running states, three different DTC methods are applied. In middle and high speed, the traditional DTC is used; in the sub-low-speed, increasing the density of the regional division of flux linkage and optimizing the choice of the switch vector is used; in super-low-speed, the predictive control based on the DTC is used to decrease torque ripple, meantime, genetic algorithm is used to optimize the control parameters of the system in order to efficiently weaken the shock in switching between the different algorithm. The simulation results shows, this control strategy can meet the performance requirements of HEV well.

Research on the optimization method of multi energy interconnected microgrid configuration and operation based on lifecycle cost

To solve the problem of the low return on investment in the traditional micro grid, multi energy interconnected micro grid were constituted by distributed photovoltaic, gas turbine, combined cooling heating and power supply system (CCHP). Because power generation of distributed photovoltaic has uncertainty and the load of cold, hot and electricity is unbalance, the optimizesion of microsource configuration and its operation must be made. The method of the genetic algorithms and linear programming is used to solve these. This optimize method was verified by MW-levels comprehensive community which the results show that the multi energy interconnected microgrid has economy and promotion value under the current price system and the condition of Comprehensive community.

Enhanced Control of a Brushless DC Motor Using Fuzzy Internal Model Scheme

This paper present a control scheme, adjusting to parameter of the feedback controller on-line based on two-degree-of-freedom (TDF) fuzzy internal model control. Proposed method can achieve the desired tracking performance and reduce the sensitivity to load parameters. The simulation results show that proposed method is effective on improving system robust

Direct Torque Self-Control System (DTS) of Induction Machine Based on Tabu Search (TS)

In this paper, tabu search (TS) was employed to optimize the direct torque control system (DTS) on line for their advantages of high precise and repeat calculate speed. By apply TS, the control parameter were turned in time to achieve high control quality when the setting frequency changed