Title :
Virtual plasma equipment model: a tool for investigating feedback control in plasma processing equipment
Author :
Rauf, Shahid ; Kushner, Mark J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fDate :
8/1/1998 12:00:00 AM
Abstract :
As microelectronics device feature sizes continue to shrink and wafers continue to increase in size, it is necessary to have tighter tolerances during the fabrication process to maintain high yields. Feedback control has, therefore, become an important issue in plasma processing equipment design; comprehensive plasma equipment models linked to control algorithms would greatly aid in the investigation and optimal selection of control strategies. This paper reports on a numerical plasma simulation tool, the virtual plasma equipment model (VPEM), which addresses this need to test feedback control strategies and algorithms on plasma processing equipment. The VPEM is an extension of the hybrid plasma equipment model which has been augmented by sensors and actuators, linked together through a programmable controller. The sensors emulate experimental measurements of species densities, fluxes, and energies, while the actuators change process parameters such as pressure, inductive power, capacitive power, electrode voltages, and mole fraction of gases. Controllers were designed using a response surface based methodology. Results are presented from studies in which these controllers were used to compensate for a leak of N2 into an Ar discharge, to stably control drifts in process parameters such as pressure and power in Ar and Ar/Cl2, and to nullify the effects of long term changes in wall conditions in Cl2 containing plasmas. A new strategy for improving the ion energy flux uniformity in capacitively coupled discharges using feedback control techniques is also explored
Keywords :
feedback; integrated circuit yield; plasma applications; process control; programmed control; semiconductor process modelling; Ar; Cl2; N2; capacitive power; capacitively coupled discharges; control strategies; electrode voltages; fabrication process; feature sizes; feedback control; inductive power; ion energy flux uniformity; mole fraction; numerical plasma simulation tool; plasma processing equipment; process parameters; programmable controller; response surface based methodology; species densities; virtual plasma equipment model; wall conditions; yields; Actuators; Argon; Feedback control; Optimal control; Plasma density; Plasma devices; Plasma materials processing; Plasma measurements; Plasma simulation; Semiconductor device modeling;
Journal_Title :
Semiconductor Manufacturing, IEEE Transactions on