Plasma Matching Unit Controller for Real-Time Impedance Tuning

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Solution Overview

Problem

Existing RF matching networks in plasma processing systems lack adaptability and flexibility, particularly in complex semiconductor fabrication processes, due to proprietary control algorithms and inadequate real-time data processing capabilities, which hinder the democratization of semiconductor manufacturing and the implementation of smart manufacturing principles.

Innovation Solution

A controller for a matching unit that utilizes the EtherCAT protocol to operate simultaneously as a master and slave, enabling local intelligent algorithms and real-time impedance matching, allowing customizable control algorithms and seamless integration with the plasma processing system, thereby facilitating rapid prototyping and process development.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If proprietary control algorithms are used in matching networks, then control functionality is provided, but adaptability to new processes is limited

Engineering Contradiction:
Improveadaptability to new processesVSAvoidcontroller architecture complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The controller is divided into two distinct roles: a master controller that runs configurable algorithms for high-level process control, and a slave controller that handles real-time impedance matching execution. This segmentation allows the system to separate algorithmic flexibility from real-time control precision, enabling adaptability without compromising reliability.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The slave controller acts as an intermediary between the master controller and the matching network hardware. It receives target impedance values from the master, executes the matching algorithm locally with real-time sensor data, and adjusts the matching network components. This intermediary layer enables configurable control while maintaining deterministic real-time performance.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If advanced VI probes are used to monitor RF voltage and current, then measurement accuracy is improved, but device complexity and cost increase

Engineering Contradiction:
Improveimpedance measurement accuracyVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system uses existing sensor data from the plasma processing equipment and performs impedance calculations locally on the controller. Rather than requiring additional expensive VI probes, the controller self-calibrates by measuring voltage and current at the matching network terminals using standard sensors already present in the system, thereby achieving accurate impedance measurement without adding complex hardware.

Inventive Principle:
Principle #25Self-service

3Productivity

If real-time impedance matching is implemented, then power delivery efficiency is improved, but processing latency increases

Engineering Contradiction:
Improvepower delivery efficiencyVSAvoidprocessing latency
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The slave controller continuously monitors sensor data and pre-calculates matching adjustments before they are needed. By maintaining a ready state with pre-computed matching parameters and continuously tracking impedance changes, the system can execute matching adjustments with minimal latency when process conditions change, thereby maintaining high power delivery efficiency without excessive processing delays.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12399474B2Controller for a matching unit of a plasma processing system
Publication Date: 2025.08.26 APPLIED MATERIALS INC
  • US12399474B2 patent drawing
  • US12399474B2 patent drawing

AI summary

A matching unit controller working in combination with a matching unit for a plasma processing machine is described. In one example, the controller has a master controller application and acts as a local master in the matching unit. In one example, the controller gathers data from the input and output sensors and feeds the data to an intelligent algorithm. In one example, the output from the algorithm is used to set the matching unit capacitor positions. In one example, the controller also has a slave controller application to communicate with a master controller of the plasma processing machine.