An observer based control scheme is used and the controller synthesis is obtained via a quadratic criterion in order to minimize the tracking error.
Then, a multiple-model based control scheme is developed to compensate for actuator failures, consisting of a kinematic controller, multiple dynamic controllers and a control switching mechanism.
In this paper, an observer-based controller scheme is designed to robustly drive a sensorless Induction Motor (IM) even for the case of low frequencies with unknown load torque.
Various control schemes of power management e.g. current, voltage, power, reactants flow pressure and temperature based control schemes are proposed with simple and easy to implement PI controller for PAFC operation.
The controller scheme is composed of an inner current control loop and an outer power control loop based on a synchronous reference frame and the conventional PI regulators.
Smash Court's controller scheme is a bit unusual.
The proposed controller scheme is composed of two MPC controllers in cascade.
The gains of the mix locally recurrent neural network based PID (MLRNNPID) controller scheme are initialized with a newly developed cuckoo search algorithm (CSA) based optimization method rather than assuming randomly.
On the contrary, the controller based on the passivity-based robust control scheme is more suitable for tracking control of the PKM in terms of both control performances and controller design procedures.
To examine the feasibilities of the proposed development environment, a model-based air-to-fuel ratio controller based on a sliding mode control scheme is implemented as a practical example.
The control scheme is based on recurrent neural networks emulator and controller with decoupled adaptive rates.
