Riccardo Terzaghi's research while affiliated with University of Pavia and other places
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Publications (3)
During skid braking and spin acceleration, the driving force exerted by the tires is reduced considerably, and the vehicle cannot speed up or brake as desired. It may become very difficult to control the vehicle under these conditions. To solve this problem, a second-order sliding-mode traction controller is presented in this paper. The controller...
Recent research has demonstrated that longitudinal control strategies are useful in highway systems to regulate the spacing and velocity of vehicles. In this paper, a robust longitudinal control system for platoons of vehicles is designed. The proposed control scheme is composed of two different loops: the outer loop has to determine the traction f...
During skid-braking and spin-acceleration, the driving force exerted by the tires reduces considerably and the vehicle cannot speed up or brake as desired. It may become very difficult to control the vehicle under these conditions. To solve this problem, a second order sliding mode traction controller for road vehicles is presented in this paper. T...
Citations
... Bu tür bir problemi çözmek için, optimum bir arama stratejisi araştırılmalıdır [239]. Yüksek hızlı tren modeli kullanılarak, Denklem 5.45'teki eşitlik yazılabilir. ...
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... Strategies based on Leader-Follower Consensus Control (see, e.g., [8] and references therein) have also been adapted for platoons (see for instance [9]) with promising results. Sliding Mode Control (SMC) has been introduced in platoon control in works as [10], [11], [12], [13], [14], where it has been proven effective in different conditions. ...
... However, modelbased controller design has challenges associated with parameter identification and developing simple yet accurate system models that account for critical system dynamics. Sliding mode controllers (SMC) are advantageous in this regard due to their inherent robustness to external disturbances, model parameter uncertainties, and how they retain the complex non-linearities and dynamics in the system [2], [3], [4]. Many studies, such as one in [5], have relied on simplified and linearized models for controller development and anal- ysis, in which the interdependencies of the system dynamics vanish in the linearization process. ...
