Match Network Calibration for Consistent Plasma Power Delivery
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Solution Overview
Problem
Current match networks in plasma processing systems are inefficient, leading to variations in power delivery to the load, which affects the consistency of processing results such as etch or deposition rates, despite using identical generators and match networks.
Innovation Solution
A golden load fixture with consistent resistance and reactance is used to calibrate match networks, generating an operation model that calculates a correction factor to adjust the generator and match network settings, ensuring consistent power delivery across different match networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If match networks are used to transfer power from generator to plasma load, then power transfer is enabled, but efficiency variations cause inconsistent power delivery to the load
Solution Approach 1:
The system measures actual efficiency parameters of the match network under specific operating conditions (frequency, power level, load impedance) and uses these measured parameters to calculate correction factors that adjust the generator output, thereby compensating for efficiency variations and ensuring consistent power delivery to the load
Solution Approach 2:
The system implements a feedback mechanism where the measured efficiency of the match network is used to generate correction factors that are applied to the generator output. This closed-loop approach continuously compensates for efficiency variations, maintaining reliable and consistent power delivery despite component tolerances and operating condition changes
2Reliability
If correction factors are calculated and applied to compensate for match network efficiency variations, then power delivery consistency is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary calibration by measuring match network efficiency across a range of operating conditions before actual processing. These pre-measured efficiency data are stored and used to calculate correction factors in advance, eliminating the need for complex real-time measurements during production processing while maintaining consistency
Solution Approach 2:
The system creates a simplified model or lookup table of efficiency characteristics based on comprehensive measurements. Instead of implementing complex real-time efficiency measurement and calculation hardware, the system uses pre-characterized efficiency data that can be quickly referenced and applied during operation, reducing hardware complexity while maintaining accuracy
Data Source
AI summary
This disclosure describes systems, methods, and apparatus for identifying and compensating for variances between match networks. Each match network can be calibrated at the factory against a golden load and a reference load to turn a generalized model of the match network into an operation model. The operation model can be stored with the match network or shipped with the match network, and used by an operator to determine a correction factor during processing. This correction factor can be used to adjust a generator setpoint, frequency, or aspects of the match network.