Performance of the MPC controller to track a varying speed reference is analyzed in further details.
Using this plant description, very simple P and PI robust controller can be used to regulate the vehicle dynamics according to a prescribed speed reference profile.
In this method, a cascade control structure is developed for the pitch controller, which receives the speed reference from a power-speed scheduler.
Simulation and real-time experimental results clearly show that the proposed control scheme can track the speed reference signal generated by a reference model successfully under parameter uncertainties and load torque disturbance without singularity and overparameterization.
Secondly, a general formula is given to predict the future speed reference which is unavailable at the interval of two bus-communication cycles.
When the constant speed reference is applied, the DHO-PALC can achieve a faster learning convergence speed than the first-order periodic adaptive learning compensation (FO-PALC).
The rotor position was calculated from the causal dynamic output feedback compensator and from the desired speed reference.
Based on the identified model parameters and predicted speed reference, the optimal control law of FOGPC is derived.
By means of this plant description, a low order robust controller can be designed to regulate the vehicle dynamics according to the personalized speed reference profile.
In this paper, a novel Order Tracking (OT) scheme of estimation is proposed that is based on the state space model that avoids the shaft speed reference signal.
