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Conventional electronic stability control (ESC) system uses differential braking to stabilize the yaw rate and side slip of the vehicle motion. While the roll stability is critically important, it is absent from the current ESC scheme. In this paper, an model predictive control (MPC) scheme is proposed that potentially can achieve both yaw stability and roll stability. The objective of the proposed...
The DC-link voltage control of electric machines employed in hybrid electric vehicles is a challenging problem, subject to several physical and computational constraints. This paper answer to these challenges by employing a multi-rate predictive cascade state-space control structure with focus on the design of the outer loop voltage controller. Firstly, the mathematical model, including also the dynamics...
This paper studies an important aspect of attitude control for a launcher's upper stage: the minimum impulse bit (MIB), that is, the minimum torque that can be exerted by the thrusters. We model this effect using principles of hybrid systems theory and we design a hybrid model predictive control scheme for the attitude control of a launcher during its long coasting period, aiming at minimizing the...
Estimation of tire-road friction forces has an important role in anti-lock brake systems (ABS), as well as for vehicle stability control systems, and road condition monitoring systems. We investigate the use of a moving horizon observer for estimation of multiple friction model parameters as well as the longitudinal wheel slip state under typical ABS braking scenarios, using wheel speed measurement...
In this paper, a Nonlinear Model Predictive Control (NMPC) is applied for a torque demand control for speed tracking of vehicles with a variable valve lift engine. The engine control must satisfy various constraints, e.g., actuator limitations, drivability and A/F ratio, etc. Therefore, we apply NMPC based on a collocation method which can handle the constraints explicitly. Moreover, a fuel injection...
This paper deals with a hierarchical architecture of the Engine Control Unit (ECU) made-up of two levels: the higher one, called powertrain level, computes the current and the future torque demands; The lower level, called engine level, uses these information to provide an appropriate motor control. In continuous-time framework, a H2-control design with preview is proposed for the lower level and...
A pair of model predictive controllers (MPCs) capable of modifying the nominal roll dynamics of a vehicle through control of the planar vehicle dynamics are presented. Each of these controllers is based on a linear model of the vehicle. One controller utilizes differential drive of the rear axle to modify the planar motion, while the other uses rear-wheel-steering (RWS). Results from simulations of...
Yaw stability of an automotive vehicle in steering maneuver is critical to stability and handling performance of the vehicle. In the paper, a yaw stability controller based on model predictive control is designed in the principle of active differential brake. Implementing a simple 6 DoF linear vehicle model, the proposed controller solves brake torque constraints and overactuated problems in vehicle...
In this paper, a model predictive control (MPC) strategy is developed for the first time to solve the optimal energy management problem of power-split hybrid electric vehicles. A power-split hybrid combines the advantages of series and parallel hybrids by utilizing two electric machines and a combustion engine. Because of its many modes of operation, modeling a power-split configuration is complex...
Innovative automotive gasoline engines are equipped with new actuators, such as the variable valve timing (VVT), besides the traditional electronic throttle (ETC) and exhaust gas recirculation (EGR). All these actuators can be used to optimize the engine performance in terms of reduced fuel consumption and pollutant emissions. In turn, their presence makes the control of the engine a difficult task...
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