학술논문

Lodestar: An Integrated Embedded Real-Time Control Engine*
Document Type
Conference
Source
2023 IEEE Conference on Control Technology and Applications (CCTA) Control Technology and Applications (CCTA), 2023 IEEE Conference on. :886-891 Aug, 2023
Subject
Aerospace
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Software design
Software packages
Source coding
Software algorithms
Signal processing algorithms
Surgery
Real-time systems
Language
ISSN
2768-0770
Abstract
In this work we present Lodestar, an integrated engine for rapid real-time control system development. Using a functional block diagram paradigm, Lodestar allows for complex multi-disciplinary control software design, while automatically resolving execution order, circular data-dependencies, and networking. In particular, Lodestar presents a unified set of control, signal processing, and computer vision routines to users, which may be interfaced with external hardware and software packages using interoperable user-defined wrappers. Lodestar allows for user-defined block diagrams to be directly executed, or for them to be translated to overhead-free source code for integration in other programs. We demonstrate how our framework departs from approaches used in state-of-the-art simulation frameworks to enable real-time performance, and compare its capabilities to existing solutions in the realm of control software, emphasizing the convenience of using Lodestar in low-level control system design and implementation. To demonstrate the utility of Lodestar in real-time control systems design, we have applied Lodestar to implement a real-time torque-based controller for a robotic arm. To compare the algorithm design approach in Lodestar to a classical ground-up approach, we have developed a novel autofocus algorithm for use in thermography-based localization and parameter estimation in electrosurgery and other areas of robot-assisted surgery. We use this example to illustrate that Lodestar considerably eases the design process. We also show how Lodestar can seamlessly interface with existing simulation and networking framework in a number of simulation examples.