Plasma Control Simulation System Hardware Integration
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Solution Overview
Problem
Current plasma discharge simulation tools, such as the plasma control simulation platform based on MATLAB/Simulink, primarily support software simulations and struggle with hardware-in-the-loop (HIL) simulations, making it difficult to connect with external systems and perform flexible visual simulations that can access multiple real subsystems and high-performance operation codes.
Innovation Solution
A modeling simulation system for plasma control that combines software and hardware, featuring an interactive modeling environment, simulation engine, system library, and device manager to facilitate the creation of a unified modeling interface, allowing for the encapsulation of software models or real system interfaces, and supporting hardware closed-loop communication and database-related interfaces for simulation verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a pure software simulation tool like MATLAB/Simulink is used, then the simulation can be performed with ease of operation and flexibility, but the ability to connect to external hardware systems and perform HIL simulation is lost
Solution Approach 1:
The simulation platform is designed to support multiple simulation modes (pure software simulation and hardware-in-the-loop simulation) through a unified interface. The device manager and simulation element mechanisms allow the same platform to accommodate both software models and hardware systems, enabling one tool to serve multiple purposes: software simulation, hardware simulation, and external system integration.
Solution Approach 2:
A device manager is introduced as an intermediary component that manages communication between the simulation environment and external hardware systems. This mediator handles the complexity of hardware interfaces, allowing users to connect real subsystems to the simulation without directly managing low-level hardware communication details.
2Adaptability or versatility
If existing HIL simulation tools are used, then hardware connection capability is achieved, but the visual simulation flexibility and ease of modeling is reduced
Solution Approach 1:
The system divides the simulation model into modular simulation elements that can be independently configured and connected. Each simulation element represents a specific functional unit (software model or hardware interface) and can be dragged and dropped into the simulation environment, making complex HIL setups as easy as assembling modular components visually.
Solution Approach 2:
The unified modeling interface treats software models and hardware interfaces uniformly, allowing the same visual modeling tools to be used for both types of components. This eliminates the need for separate configuration processes for HIL simulations versus pure software simulations.
3Measurement precision
If real subsystems are connected to perform HIL simulation, then the accuracy of plasma control verification is improved, but the complexity of system integration and configuration increases
Solution Approach 1:
The device manager serves as an intermediary that abstracts the complexity of hardware connections from the user. It handles device registration, communication interface management, and synchronization automatically, allowing users to connect real subsystems without manually configuring low-level communication protocols or managing device resources.
Solution Approach 2:
The system implements automatic feedback mechanisms where the device manager monitors connected hardware systems and adjusts simulation parameters accordingly. This ensures accurate verification of plasma control algorithms while automatically handling the complexity of hardware synchronization and data exchange.
Data Source
AI summary
Disclosed is a modeling simulation system for plasma control, comprising: an interactive modeling environment module and a parameter configuration component, configured to represent and construct a plasma control model and a response model; a simulation engine, configured to invoke a calculation code of a simulation element or perform a simulation calculation by using a solver, and transmit calculated simulation results back to users; a system library, comprising a basic library and a customization library; a device manager, configured to extend a communication interface by using a simulation element to support a communication between models and external systems and guarantee message synchronization.