Yuying Guo

Actuator fault compensation via multiple model based adaptive control

An automatic control reconfiguration scheme is developed based on multiple model approach for plants with unknown actuator faults. Under the designed adaptive controllers, the plant output tracks a given reference output asymptotically, despite the uncertainties in actuator failures. The stability of overall systems is proved, and numerical simulations are performed using an aircraft model to demonstrate the effectiveness of the proposed algorithm.

Print quality detection of cigarette wrapper based on image processing and bp network

To resolve the problem of the print quality detection of cigarette wrapper online, the paper has proposed a method to detect and diagnose the print quality based on image processing and BP network. Using the feature parameters of the subtraction image between the detected print image and the standard template image, a BP network is applied to classify the prints into excellent, qualified and unqualified products. The experiment results have shown that the developed system can meet the demands of the print quality detection of cigarette wrapper and can be used to implement the online print quality detection of cigarette wrapper.

A novel robust attitude control for quadrotor aircraft subject to actuator faults and wind gusts

A novel robust fault tolerant controller is developed for the problem of attitude control of a quadrotor aircraft in the presence of actuator faults and wind gusts in this paper. Firstly, a dynamical system of the quadrotor taking into account aerodynamical effects induced by lateral wind and actuator faults is considered using the Newton-Euler approach. Then, based on active disturbance rejection control U+0028 ADRC U+0029, the fault tolerant controller is proposed to recover faulty system and reject perturbations. The developed controller takes wind gusts, actuator faults and measurement noises as total perturbations which are estimated by improved extended state observer U+0028 ESO U+0029 and compensated by nonlinear feedback control law. So, the developed robust fault tolerant controller can successfully accomplish the tracking of the desired output values. Finally, some simulation studies are given to illustrate the effectiveness of fault recovery of the proposed scheme and also its ability to attenuate external disturbances that are introduced from environmental causes such as wind gusts and measurement noises.

Multiple model adaptive reconfiguration control of state delayed systems

In this paper, a new direct model reference adaptive control framework based on a multiple model approach is proposed. The main objective is to synthesize a fault-tolerant controller which reconfigures the faulty system with state delay. This approach provides stable adaptation for a class of linear systems with state delay in the presence of unknown actuator faults. The proof of stability is based on the Lyapunov−Krasovskii function, while appropriate switching of the multiple models ensures asymptotic tracking for the system outputs, and under the proposed algorithms, the tracking errors of the reconfigured system trend to zero rapidly. Simulation results are presented to illustrate the efficiency of the proposed method.

Multiple-model-based adaptive reconfiguration control of state delayed systems with actuator faults

In this paper, a new direct model reference adaptive control framework based on a multiple model approach is proposed. The main objective is to synthesis a fault tolerant controller which reconfigures the faulty system with state delay. This approach provides stable adaptation for a class of linear systems with state delay in the presence of unknown actuator faults. The proof of stability is based on the Lyapunov-Krasovskii function, while appropriate switching of the multiple models ensures asymptotic tracking for the system outputs, and under the proposed algorithms, the tracking errors of the reconfigured system trend to zero rapidly. Simulation results are presented to illustrate the efficiency of the proposed method.

Multi-model based adaptive reconfiguration control for flight control systems with actuator faults

This paper concerns the application of multi-model based adaptive control approach to accommodate actuator fault for flight control systems. isolation. This approach does not require the exact information about the controlled system and persistent input excitations. The method can increase robustness and provides stable adaptation of unknown faults. Asymptotic model following conditions and adaptive rules are derived and system stability is guaranteed, while appropriate switching of the multiple models ensures asymptotic tracking for system outputs. An aircraft model is given to illustrate the efficiency of the proposed method.

Adaptation-Based Reconfiguration in the Presence of Actuator Faults with Non-Measurable Rates

In this paper, a direct adaptive control reconfiguration is proposed for flight control with actuator faults characterized by second-order dynamics. Under non-measurable rates, adaptive state feedback control scheme is developed, which ensures that all closed-loop signals are bounded and plant tracking error tends to zero asymptotically, despite the uncertainties in actuator faults and plant parameters. The properties of the proposed algorithms are evaluated through numerical simulations of an aircraft example.

On the performance of improved extended state observer based control for uncertain systems with measurement noises

This paper investigates a new framework of extended state observer (ESO) based active disturbance rejection control (ADRC) design methodology for a class of uncertain nonlinear systems subject to measurement noises. First, based on nonlinear filtering function, an improved ESO is designed to estimate both state, and total disturbance which includes the internal uncertain nonlinear part and the external uncertain disturbance. Then, the explicit analysis about how to select nonlinear filtering function and the convergence analysis for the error dynamics are presented. Numerical simulation results are shown to demonstrate the effectiveness of the proposed method.

Adaptive fault compensation for aircraft flight systems with actuator faults

In this paper, an adaptive fault compensation scheme is investigated for aircraft flight systems in the presence of non-measurable rate on the actuator second-order dynamics. The proposed fault compensation scheme is a combination between multiple model and adaptive reconfiguration control. By means of the designed method, the system output can track that of reference model asymptotically, and desired performance of the developed scheme is demonstrated by simulation studies on the lateral dynamic model of a Boeing 747 airplane.