Yaw Rate and Sideslip Angle Control Through Single Input Single Output Direct Yaw Moment Control

Basilio Lenzo, Mattia Zanchetta, Aldo Sorniotti, Patrick Gruber, Wouter De Nijs
2020 IEEE Transactions on Control Systems Technology  
Electric vehicles with independently controlled drivetrains allow torque vectoring, which enhances active safety and handling qualities. This article proposes an approach for the concurrent control of yaw rate and sideslip angle based on a single-input single-output (SISO) yaw rate controller. With the SISO formulation, the reference yaw rate is first defined according to the vehicle handling requirements and is then corrected based on the actual sideslip angle. The sideslip angle contribution
more » ... angle contribution guarantees a prompt corrective action in critical situations such as incipient vehicle oversteer during limit cornering in low tire-road friction conditions. A design methodology in the frequency domain is discussed, including stability analysis based on the theory of switched linear systems. The performance of the control structure is assessed via: 1) phase-plane plots obtained with a nonlinear vehicle model; 2 ) simulations with an experimentally validated model, including multiple feedback control structures; and 3) experimental tests on an electric vehicle demonstrator along step steer maneuvers with purposely induced and controlled vehicle drift. Results show that the SISO controller allows constraining the sideslip angle within the predetermined thresholds and yields tire-road friction adaptation with all the considered feedback controllers. Index Terms- Controlled drift, electric vehicle, experimental tests, sideslip angle control, tire-road friction coefficient, torque vectoring (TV), yaw rate control. NOMENCLATURE a Front semiwheelbase. a x Longitudinal acceleration. a y Lateral acceleration. A, B, C State-space matrices of the plant. A i , B i , C i , D i State-space matrices of the plants considered in the stability analysis (i = 1, 2, 3). A s , B s , C s State-space matrices of the shaped plant.
doi:10.1109/tcst.2019.2949539 fatcat:u4jwhlhkcfbxti47b7i2foitme