Nonlinear MPC for Quadrotor Fault-Tolerant Control

Fault-Tolerant Control of a Nonlinear Process with Input Constraints

A Fault-Tolerant Control (FTC) methodology has been presented for nonlinear processes being imposed by control input constraints. The proposed methodology uses a combination of Feedback Linearization and Model Predictive Control (FLMPC) schemes. The resulting constraints in the transformed process will be dependent on the actual evolving states, making their incorporation in the de...

Fault Tolerant Control for Quadrotor via Backstepping Approach

Different from the previous work for quadrotor which mostly discusses application of different controllers to quadrotor control under normal flight conditions, this paper introduces a new design strategy which considers fault tolerant capability of the quadrotor control problems. By utilizing Passive Fault Tolerant Control Systems (PFTCS) concept with backstepping control approach, the trajecto...

Closed-loop Subspace Predictive Control for Fault Tolerant MPC Design

Subspace predictive control (SPC) is recently seen in the literature for joint system identification and control design. This combination enables automatically tuning the parameters in conventional model predictive control (MPC); and therefore provides a solution to the problem of fault tolerant MPC design. The existing SPCs either deal with open-loop data or depend on the information of the co...

Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system

Fault-Tolerant MPC Control of PEM Fuel Cells

In this paper, fault-tolerant MPC control of PEM fuel cells is addressed. MPC is a suitable control methodology to control fuel cell systems because of their multivariable and complex behaviour. Additionally, MPC is one of the control methodologies that can introduce more easily fault-tolerance. However, the problem of including actuator fault-tolerance in the control loops of these systems has...