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AD2S100 Arkusz danych(PDF) 9 Page - Analog Devices |
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AD2S100 Arkusz danych(HTML) 9 Page - Analog Devices |
9 / 12 page AD2S100 REV. A –9– √In Figure 9, “–1” operator performs a 180° phase shift opera- tion. It can be illustrated by a 2-phase-to-3-phase reverse trans- formation. An example is shown in Figure 10. AD2S100 φ PH/IP1 (Cos θ) PH/OP1 Cos( θ + φ) PH/OP3 Cos( θ + 240° + φ) PH/IP4 (Sin θ) PH/OP2 Cos( θ + 120° + φ) Cos θ Sin θ Cos( θ – φ) Cos( θ + 240° – φ) Cos( θ + 120° – φ) R R R 2 Figure 10. Two-Phase to Three-Phase Reverse Transformation Field Oriented Control of AC Induction Machine in a Rotor Flux Frame The architecture shown in Figure 11 identifies a simplified scheme where the AD2S100 permits the DSP computing core to execute the motor control in what is normally termed the rotor reference frame. This reference frame actually operates in synchronism with the rotor of a motor. This has significant benefits regarding motor control efficiency and economics. The calculating power required in the rotor reference frame is signifi- cantly reduced because the currents and flux are rotating at the slip frequency. This permits calculations to be carried out in time frames of, 100 µs, or under by a fixed-point DSP. Bench- mark timing in this type of architecture can attain floating-point speed processing with a fixed-point processor. Perhaps the larg- est advantage is in the ease with which the rotor flux position can be obtained. A large amount of computation time is, there- fore, removed by the AD2S100 vector processors due to the split architecture shown in Figure 11. Motor control systems employing one DSP to carry out the cartesian to polar transfor- mations required for vector control are, therefore, tasked with additional duties due to the fact that they normally operate in the flux reference frame. The robustness of the control system can also be increased by carrying out the control in the rotor reference frame. This is achieved through the ability to increase and improve both the algorithm quality in nonlinear calculations attributed to magne- tizing inductance and rotor time constant for example. An increase in sampling time can also be concluded with this archi- tecture by avoiding the additional computing associated with number truncation and rounding errors which reduce the signal- to-noise rejection ratio. is1 is2 is3 VECTOR CO-PROCESSOR REVERSE ROTATION AD2S100 SPEED CONTROL LIMIT TORQUE CONTROL LIMIT FIELD WEAKENING FORWARD ROTATION AD2S100 VECTOR CO-PROCESSOR Vqs' Vds' ρ' Vs1 Vs2 Vs3 v v v CONTROL SOFTWARE ADSP2101 POSITION FEEDBACK VELOCITY FEEDBACK POSITION SET POINT + – ε' ε iqs ids ω' ω + – + – + + ω imr' iqs ω1 ω2 imr md' iqs' ids' iqs ids Cm imrmax v + – + – ε θ2 + + (a + jb)e'–j ρ' (a + jb)e–j ρ ρ Tr Figure 11. Rotor Reference Frame Architecture |
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