An adaptive state feedback control scheme with sensor failure compensation

Author(s):  
Ge Song ◽  
Gang Tao
2015 ◽  
Vol 789-790 ◽  
pp. 658-664 ◽  
Author(s):  
Muhammad Faisal ◽  
Mohsin Jamil ◽  
Usman Rashid ◽  
Syed Omer Gilani ◽  
Yasar Ayaz ◽  
...  

In this paper, we propose a novel dual-loop control scheme (DLCS). We did not see such investigation of DLCS in the previous research work. DLCS scheme is a combination of classical PID and advanced state feedback control techniques. The proposed technique is used to control swing angle and trolley position of a 3DOF crane. Extensive simulations have been carried out using MATLAB / Simulink and practically validated on a Quanser 3DOF crane system. Experimental results indicate that the proposed DLCS control scheme improves crane operation by damping the payload oscillations. The scheme also smoothen the trolley motion. Our suggested technique provides better performance in terms of payload oscillations comparing to the classical PID.


Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1146
Author(s):  
Călin-Adrian Popa ◽  
Eva Kaslik

This paper studies fractional-order neural networks with neutral-type delay, leakage delay, and time-varying delays. A sufficient condition which ensures the finite-time synchronization of these networks based on a state feedback control scheme is deduced using the generalized Gronwall–Bellman inequality. Then, a different state feedback control scheme is employed to realize the finite-time Mittag–Leffler synchronization of these networks by using the fractional-order extension of the Lyapunov direct method for Mittag–Leffler stability. Two numerical examples illustrate the feasibility and the effectiveness of the deduced sufficient criteria.


Author(s):  
Nicholas Vlajic ◽  
Melissa Davis ◽  
Corey Stambaugh

This paper explains the control scheme that is to be used in the magnetic suspension mass comparator (MSMC), an instrument designed to directly compare mass artifacts in air to those in vacuum, at the United States National Institute of Standards and Technology. More specifically, the control system is used to apply a magnetic force between two chambers to magnetically suspend the mass artifacts, which allows for a direct comparison (i.e., a calibration) between the mass held in air and a mass held in vacuum. Previous control efforts that have been demonstrated on a proof-of-concept (POC) of this system utilized proportional-integral-derivative (PID)-based control with measurements of the magnetic field as the control signal. Here, we implement state-feedback control using a laser interferometric displacement measurement with a noise floor of approximately 5 nm (root-mean-square). One of the unique features and main challenges in this system is that, in order to achieve the necessary accuracy (relative uncertainty of 20 × 10−9 in the MSMC), the magnetic suspension must not impose appreciable lateral forces or moments. Therefore, in this design, a single magnetic actuator is used to generate a suspension force in the vertical direction, while gravity and the symmetry of the magnetic field provide the lateral restoring forces. The combined optical measurement and state-feedback control strategy presented here demonstrate an improvement over the previously reported results with magnetic field measurements and a PID-based control scheme.


2019 ◽  
Vol 42 (8) ◽  
pp. 1429-1436
Author(s):  
Cunming Zou ◽  
Hongxing Li

The problem of nonlinear platoon control with sensor failure is studied in this paper. First, a vehicular platoon model involving sensor failure and nonlinearity is established, in which the nonlinear platoon is divided to a linearized model in addition to a nonlinear term. Then, based on the nonlinear model, a switching controller design method is proposed by using a discrete Lyapunov function and then the sufficient state feedback control law is achieved. It is shown that the obtained control scheme can achieve asymptotical stable. Simulations are given to show the efficiency of the proposed methods.


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