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ASIPP, March 22, 2004. Proposal of Magnetic Sensorless Control Experiment on HT-7. Kazuo Nakamura RIAM, Kyushu University, Japan March 16-26, 2004. Contents. Sensorless sensing Objectives Merit Magnetic sensorless sensing experiments Magnetic sensorless control experiments
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ASIPP, March 22, 2004 Proposal ofMagnetic Sensorless Control Experiment on HT-7 Kazuo Nakamura RIAM, Kyushu University, Japan March 16-26, 2004
Contents • Sensorless sensing • Objectives • Merit • Magnetic sensorless sensing experiments • Magnetic sensorless control experiments • Calculation of plhs • Diagnostics • Anticipated problems • Pending problems
Outside time (ms) Inside Sensorless sensing
Objectives • To confirm magnetic sensorless sensing of plasma position • To prove magnetic sensorless control of plasma position
Merit • No integrators No drift problem Applicable to long-time operation
Magnetic Sensorless Sensing Experiments • FB control at the inside position • FB control at the outside position • FB control from the outside to inside • FB control from the inside to outside • No FB control from the outside to inside • No FB control from the inside to outside
inside plhc outside iv1 time FB control at the insideFB control at the outside
inside plhc outside iv1 time FB control from the outside to inside FB control from the inside to outside
inside plhc outside No FB control iv1 time No FB control from the outside to inside No FB control from the inside to outside Important to judge whether sensorless sensing is effective or not.
Magnetic Sensorless Control Experiments • Input of Iv and Vv to the control system • Calculation of plhs from Iv and Vv • Comparison of plhs with plhc • Changing from plhc to plhs
Rogowski coil V coil plh ref FB Controller Power Supply Flux loops Y Integrator plhc Calculation Integrator ip2 Control system Input of Iv and Vv to the control system
Shunt Divider Rogowski coil V coil plh ref FB Controller Power Supply Flux loops Iv plhs Calculation Vv Y Integrator plhc Calculation Integrator ip2 Control system Input of Iv and Vv to the control system
Changing from plhc to plhs Rogowski coil V coil plh ref FB Controller Power Supply Flux loops Iv plhs Calculation Vv Y Integrator plhc Calculation Integrator ip2 Control system
Calculation of plhs • Calculation of plhs in principle • Necessary signal processing • Elimination of low frequency component • Elimination of high frequency noise • Calculation of plhs in practice
Calculation of plhs in principle • 1st (not fast) Fourier component IV1 of IV • 1st (not fast) Fourier component VV1 of VV • Ratio of VV1/IV1 • Lag element of 1st order
Ripple period 300 Hz Necessary signal processing
Calculation of plhs in practice • Subtraction of average from IV • Multiplying of sin and cos by the IV • Summation (integral) of the product • Absolute value IV1 of the summation • VV1 similarly • Ratio of VV1/IV1 • Lag element of 1st order
Present time Past time Average Summation Calculation of plhs in practice
IV Shunt Rogowski is not good, because integration is necessary. But it is good for testing. DCCT is not good, because it cannot measure current ripple. VV Divider IOH Shunt VOH Divider iv1 Rogowski The iv1 is necessary for time coincidence. ioh Rogowski ip2, vp, ne3 plhc, plva flux loops The plhc is necessary for comparison. ece, ha, xuv Diagnostics
Anticipated Problems • Data acquisition • Data processing • Copper shield
Data acquisition • Rogowski coil • Low noise but necessary to integrate • Shunt • Large noise although not necessary to integrate • Shunt output • Used for control • Necessary to insulate
Data processing • Large noise of high frequency • Small amplitude of ripple component • Large inclination of low frequency component • Subtraction of the average • Average over ripple period • From the past data • 1st Fourier component • From the past data
Copper shield • Current ripple can reflect plasma position? • Current ripple reflect only coil voltage? • If so, sensorless control will be impossible, since the control system is unstable for external disturbance. • IV1 up VV1/IV1 down plhs up VV down VV1 up VV1/IV1 up stable control
Pending problems • Fourier Transform • Neural Network • Lag element of 1st order • Integral Neural Network