scholarly journals Gain scheduling output feedback control of linear plants with actuator saturation

2015 ◽  
Vol 352 (10) ◽  
pp. 4163-4187 ◽  
Author(s):  
Xiaojun Ban ◽  
Fen Wu
2018 ◽  
Vol 40 (10) ◽  
pp. 3189-3200 ◽  
Author(s):  
Baochen Qiang ◽  
Le Zhang

To enlarge the domain of attraction of a supercavitating vehicle subject to actuator saturation, this paper presents a new output feedback control design in consideration of the immeasurable vertical speed. The dive-plane dynamics of a supercavitating vehicle are considered. By introducing the sector condition of the planing force, a new output feedback control law that locally stabilizes the closed-loop system is proposed. The design of the controller that maximizes the vehicle’s domain of attraction is then formulated and solved as an optimization problem with linear matrix inequality (LMI) constraints. Simulations are conducted for systems under saturation-oriented and non-saturation-oriented controllers. The results show that the proposed design can achieve a much larger domain of attraction than do conventional, non-saturation-oriented approaches.


Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4570
Author(s):  
Chao Liu ◽  
Weiqiang Zhao ◽  
Jie Li

This paper presents a gain scheduling output feedback control method to reduce driver workload and improve driving performance by considering input saturation. The driver–vehicle system model is developed by considering tire cornering stiffness uncertainties and different driver parameter uncertainties. Meanwhile, the input saturation is also considered in the driver-vehicle system. A quadratic Lyapunov function is designed to solve the optimization problem with uncertainties and input saturation. The results, which are based on the MATLAB-CarSim co-simulation platform, indicate that the robust controller not only improves the convergence rate of the state but also reduces the steering workload of the driver.


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