Systematic modeling of complex time-variant gear systems using a Power-Oriented approach, Control Engineering Practice, Volume 132, March 2023, 105420, by Davide Tebaldi and Roberto Zanasi
Abstract: This paper addresses a methodology for the systematic modeling of complex gear systems. The methodology is based on the use of a unified general model, working for all complex gear systems: time-variant as well as time-invariant, having parallel or oblique rotation axes. The model equations are automatically written following the outlined procedure and applying the presented algorithms, making this approach less prone to mistakes with respect to other approaches. Next, a reduced model assuming rigid gear connections and introducing no loss of information is proposed, which directly gives the kinematic relations between the gears angular speeds and input torques. In order to show some case studies, the proposed methodology is applied to three systems of interest for vehicle dynamics and powertrain modeling. The considered case studies are a differential structure having a bevel gearing system with non-perpendicular gear shafts, a vehicle differential and a full toroidal variator, which is suitable for applications such as KERS (Kinetic Energy Recovery System) and IVT (Infinitely Variable Transmission). Furthermore, the control of a full toroidal variator acting as a KERS with reference to an automotive case study and the comparison of the proposed modeling methodology with two other approaches are addressed.
Optimal scheduling and control for constrained multi-agent networked control systems, Optimal Control Applications and Methods, 0143-2087 (ISSN) 1099-1514 (eISSN)Vol. 43 Issue 1 p. 23-43, 2022 by Masoud Bahraini,Mario Zanon,Alessandro Colombo and Paolo Falcone
Abstract: In this paper, we study optimal control and communication schedule co-design for multi-agent networked control systems, with assuming shared parallel communication channels and uncertain constrained linear time-invariant discrete-time systems. To that end, we specify the communication demand for each system using an associated robust control invariant set and reachability analysis. We use these communication demands and invariant sets to formulate tube-based model predictive control and offline/online communication schedule co-design problems. Since the scheduling part includes an infinite dimension integer problem, we propose heuristics to find suboptimal solutions that guarantee robust constraints satisfaction and recursive feasibility. The effectiveness of our approach is illustrated through numerical simulations.
Efficiency Map-Based PMSM Parameters Estimation Using Power-Oriented Modeling, IEEE Access, vol. 10, pp. 45954 – 45961, Apr. 2022, by Davide Tebaldi
Abstract: This paper deals with two subjects. The first one is the presentation of a Matlab App created for PMSMs (Permanent Magnet Synchronous Motors) parameters estimation, both in the electrical and in the mechanical energetic domains. The second one is the presentation of a generalized PMSM Simulink superblock equipped with a user-friendly interface allowing to select options and to input the model parameters. The Matlab App and the PMSM superblock can be easily interfaced with each other. Finally, two simulation case studies are reported for the PMSM superblock.