Processor-in-the-Loop Validation of a Gradient Descent-Based Model Predictive Control for Assisted Driving and Obstacles Avoidance Applications | IEEE Journals & Magazine | IEEE Xplore

Processor-in-the-Loop Validation of a Gradient Descent-Based Model Predictive Control for Assisted Driving and Obstacles Avoidance Applications


Effect of the Noise Injection in the control loop.

Abstract:

For safety-critical applications, the validation process using a model-based approach plays an increasingly important role. In this paper we propose the application of a ...Show More

Abstract:

For safety-critical applications, the validation process using a model-based approach plays an increasingly important role. In this paper we propose the application of a predictive control algorithm, entirely implemented in low-level code, to the use case of assisted driving of four-wheel vehicles. The aim is to present the workflow for the validation of an advanced control algorithm and its implementation on an Embedded system, representative of the computational capabilities of Automotive ECUs. The proposed validation exploits the SIL (Software-In-the-Loop) and PIL (Processor-In-the-Loop) paradigms to analyse the combination of control parameters and factors related to the choice of the mathematical model describing the vehicle behaviour and the choice of the numerical algorithms selected to approximate the differential equations.
Effect of the Noise Injection in the control loop.
Published in: IEEE Access ( Volume: 10)
Page(s): 67958 - 67975
Date of Publication: 24 June 2022
Electronic ISSN: 2169-3536

Funding Agency:


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