A gain-scheduled control algorithm for input constrained systems to track time-varying references using controller state resets

Based on the situation that the hydraulic position servo system is easily influenced by the external interference and the parameters of which are different with time-varying, the fuzzy control can soften the buffeting and the sliding algorithm has no the same problems as the hydraulic position servo system, a brandly-new fuzzy sliding control algorithm is designed. In the simulation process, within the parameters of simulated time-varying and outside strong interference, the results show that the hydraulic servo system based on fuzzy sliding mode control algorithm has a greater resistance to internal and external interference and time-varying parameters.

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Stochastic utility-based flow control algorithm for services with time-varying rate requirements

Computer Networks ◽

10.1016/j.comnet.2011.12.008 ◽

2012 ◽

Vol 56 (4) ◽

pp. 1329-1342 ◽

Cited By ~ 2

Author(s):

Byung-Gook Kim ◽

Jang-Won Lee

Keyword(s):

Flow Control ◽

Control Algorithm ◽

Time Varying

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Gain-Scheduled H-infinity Filtering for LPV Discrete-Time Systems with Time-Varying Delay

2007 International Conference on Mechatronics and Automation ◽

10.1109/icma.2007.4304038 ◽

2007 ◽

Cited By ~ 1

Author(s):

Junling Wang ◽

Zhongxin Wang ◽

Weishi Han ◽

Zhexing Shu

Keyword(s):

Discrete Time ◽

Time Varying ◽

H Infinity ◽

Time Varying Delay ◽

Discrete Time Systems ◽

Time Systems ◽

Gain Scheduled ◽

Varying Delay

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Gain-scheduled stabilisation of linear parameter-varying systems with time-varying input delay

IET Control Theory and Applications ◽

10.1049/iet-cta:20060463 ◽

2007 ◽

Vol 1 (5) ◽

pp. 1276-1285 ◽

Cited By ~ 23

Author(s):

J. Wang ◽

H. Gao ◽

P. Shi

Keyword(s):

Input Delay ◽

Time Varying ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Parameter Varying ◽

Gain Scheduled

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Gain-Scheduled Filtering for Time-Varying Discrete Systems

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2004.832008 ◽

2004 ◽

Vol 52 (9) ◽

pp. 2464-2476 ◽

Cited By ~ 31

Author(s):

N.T. Hoang ◽

H.D. Tuan ◽

P. Apkarian ◽

S. Hosoe

Keyword(s):

Discrete Systems ◽

Time Varying ◽

Gain Scheduled

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Adaptive altitude flight control of quadcopter under ground effect and time-varying load: theory and experiments

Journal of Vibration and Control ◽

10.1177/10775463211050169 ◽

2021 ◽

pp. 107754632110501

Author(s):

Ji-Won Lee ◽

Nguyen Xuan-Mung ◽

Ngoc Phi Nguyen ◽

Sung Kyung Hong

Keyword(s):

Flight Control ◽

Control Algorithm ◽

Sliding Mode ◽

Ground Effect ◽

Lyapunov Theory ◽

Control Technique ◽

Time Varying ◽

Control Performance ◽

Parameter Uncertainties ◽

Altitude Control

In recent years, the boom of the quadcopter industry resulted in a broad range of real-world applications which highlighted the urgent need to improve quadcopter control quality. Typically, external disturbances, such as wind, parameter uncertainties caused by payload variations, or the ground effect, can severely degrade the quadcopter’s altitude control performance. Meanwhile, widely used controllers like the proportional-integral-derivative control cannot guarantee control performance when the system is critically affected by factors that exhibit a high degree of variability with time. In this paper, an adaptive control algorithm is proposed to improve quadcopter altitude tracking performance in the presence of both the ground effect and a time-varying payload. First, we derive an adaptive altitude control algorithm using the sliding mode control technique to account for these uncertainties in the quadcopter dynamics model. Second, we apply Lyapunov theory to analyze the stability of the closed-loop system. Finally, we conduct several numerical simulations and experiments to validate the effectiveness of the proposed method.

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