tailieunhanh - Electric Vehicles The Benefits and Barriers Part 11

Tham khảo tài liệu 'electric vehicles the benefits and barriers part 11', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Applications of SR Drive Systems on Electric Vehicles 189 The electromagnetic torque created by phase A is 1 Te 6 i fgLia2 24 According to the torque balance equation 25 T e 0 i L Tdn TL k li jd 25 n 1 dt When the system enters steady state the torque is invariable 3 Te 0 i LTdn tL k 26 n 1 TL m is load torque and km is coulomb friction coefficient. Compare equation 7 with equation 8 we get ATe 0 i jdt- 27 If the sample time T is small enough load torque and kmm can be seen as constant in the sample interval. So ATe m is proportational to Am equation 28 is At. 0 i J . Ai 28 Til . 1 dm m TI . . 1 1 . 1 r 1 In the equation above . Ihus we get the torque deviation signal from speed dt T deviation signal through the PI regulator. ATe 0 i Kp Affl 29 The bandwidth of speed closed loop is small. It will be better when the proportional regulator used. But it is hard diminish to the steady-state error. So in order to minimize the steady-state error and strengthen the disturbance rejection ability we select the PI regulator. Equation 30 ATe 0 i i Kp K Z i A 30 Fuzzy controller design From the figure 14 the inner loop is a direct torque control loop which is a three dimension self-adjust fuzzy logic control system in which the torque loop is composed of the instantaneous sum torque negative feedback control. The inner loop is completed by software to complish the feedback of the fuzzy logic control itself so that the SRM can be controlled in an optimal state. The following detail is about the fuzzy logic controller design and the adaptive soft feedback complement. 190 Electric Vehicles - The Benefits and Barriers e i i j Fuzzy logic tables The SRM is multi input multi output controlled object. The fuzzy logic table describes the connection between input and output. In mathematics this table can be seen as a two input single output non linear functions. The steps to build the table are as follows First step confirm input and output fuzzy domain and its membership .

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