Robust force control with a feed-forward inverse model controller for electro-hydraulic control loading systems of flight simulators

Zhao, Jun; Shen, Gang; Zhu, Weidong; Yang, Chifu; Yao, Jianyong

doi:10.1016/j.mechatronics.2016.06.004

Cited by 39 publications

(13 citation statements)

References 30 publications

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“…When left pressure is applied to the aileron control, which is a counterclockwise rotation of aileron and elevator controls or the left deflection of the control stick or side stick controller, the airplane's left wing banks (rolls) lower in relation to the pilot [33][34][35]. Think of this movement from the pilot's head to the pilot's left hip [36]; explaining some behavior of the flight the velocity (V) is defined by (4) as well as forces and moments ( ) by (5) and (6) [37][38][39][40].…”

Section: Problem Descriptionmentioning

confidence: 99%

Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers

Cervantes

Castillo

Hidalgo

et al. 2018

Advances in Operations Research

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We propose to use an approach based on fuzzy logic for the adaptation of gap generation and mutation probability in a genetic algorithm. The performance of this method is presented with the benchmark problem of flight control and results show how it can decrease the error during the flight of an airplane using fuzzy logic for some parameters of the genetic algorithm. In this case of study, we use fuzzy systems for adapting two parameters of the genetic algorithm to improve the design of a type 2 fuzzy controller and enhance its performance to achieve flight control. Finally, a statistical test is presented to prove the performance enhancement in the application using fuzzy adaptation in the genetic algorithm. It is important to mention that not only is this idea for control problems but also it can be used in pattern recognition and many different problems.

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Section: Problem Descriptionmentioning

confidence: 99%

Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers

Cervantes

Castillo

Hidalgo

et al. 2018

Advances in Operations Research

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“…Li [27] designed a robust control strategy for an electrohydraulic load simulator with µ synthesis theory, and the robust stability and performance were analyzed. Zhao [28] constructed a model disturbance observer with offline designed approximate inverse model to suppress the extraneous force, and this method was further modified in [29], where a robust outer loop controller was added to ensure the desired force replication performance in high-frequency region. Karpenko [30] proposed a nonlinear QFT controller to desensitize the control loop to actuator's dynamic uncertainties caused by system nonlinearities and typical variations of actuator parameters, and auxiliary compensation filters were also designed to further shape the reference tracking and regulating responses.…”

Section: Introductionmentioning

confidence: 99%

Real-time nonlinear adaptive force tracking control strategy for electrohydraulic systems with suppression of external vibration disturbance

Zhu

Shen

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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Electrohydraulic system (EHS) is extensively utilized in experimental testing field for exerting forces on specimen, and in many occasions, force tracking of EHS is confronted with external motion disturbance, which seriously deteriorates the force tracking performance. To address this problem, a real-time nonlinear adaptive force control strategy is developed in this paper. On the basis of the established nonlinear model for EHS, the proposed nonlinear adaptive force controller is obtained by a recursive backstepping method, where both servo-valve nonlinearity and parametric uncertainties of general electrohydraulic systems are accounted for during the controller design procedure. The first advantage for the proposed controller lies in the fact that the actuator's vibration disturbance information is utilized to serve the purpose of accurate force tracking. Besides, parametric uncertainties are effectively handled by the developed online adaptive updating law to achieve a higher force replication performance. Moreover, rigorous Lyapunov stability of the proposed controller is guaranteed. Finally, comparative experiments are implemented on a uniaxial EHS through xPC/Target rapid prototyping technique, and the relevant results validate the feasibility of the developed controller.

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“…However, the measured acceleration waveform with the TVC remain imperfect because acceleration waveform tracking performances may be effected by non-linear properties of electro-hydraulic servo systems (Kenta et al, 2009; Niksefat and Sepehri, 2001; Yao et al, 2016), especially the dynamic characteristics of servo-valves and hydraulic actuators (Shen et al, 2016; Zhao et al, 2016a, 2016b). Hence, a feed-forward inverse model (FFIM) compensator is employed to improve the acceleration waveform tracking accuracy by compensating for the dynamic characteristics of servo-valves and hydraulic actuators.…”

Section: Introductionmentioning

confidence: 99%

“…However, how to accurately estimate dynamic models or transfer functions of the REST is a critical issue. Some identification algorithms were employed to estimate dynamic models or transfer functions of the REST, such as the H1 estimator (Guan et al, 2014a, 2014b; Joris et al, 2003), least-squares estimator (Wu et al, 2014; Ziaei and Sepehri, 2000), recursive least-squares algorithm (Zhao et al, 2016a, 2016b) and recursive extended least-squares (RELS) algorithm (Shen et al, 2013a, 2016), adaptive inverse control algorithm (Rigney et al, 2010; Shen et al, 2013b) and state-space model (Joris et al, 2003; Vaes et al, 2007). How to accurately design a stable inverse model using the estimated dynamic model or transfer function is the second critical issue, because the estimated discrete-time model is a non-minimum phase (NMP) system and its direct inverse model is unstable.…”

Section: Introductionmentioning

confidence: 99%

Acceleration waveform replication on six-degree-of-freedom redundant electro-hydraulic shaking tables using an inverse model controller with a modelling error

Shen

Zhu

et al. 2016

Transactions of the Institute of Measurement and Control

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A redundant electro-hydraulic shaking table (REST) of six degrees-of-freedom (6 DOFs) with eight hydraulic actuators is an essential experimental tool in many industrial applications for real-time simulation of actual vibrations, such as structural vibration, earthquake simulation and fatigue testing. In order to obtain a high-fidelity acceleration waveform on the REST, a feed-forward inverse model (FFIM) controller with a modelling error compensator is proposed in this study. A recursive extended least-squares algorithm is employed to identify an acceleration closed-loop transfer function of the REST. A zero phase error compensation technology is employed to guarantee stability of the designed FFIM because the identified acceleration closed-loop transfer function is a typical non-minimum phase system and its direct inverse transfer function is unstable. The modelling error compensator is designed to compensate for the modelling error between the identified transfer function and the actual experimental REST, which deteriorates the acceleration waveform replication accuracy of the REST. A 6 DOF REST experimental system was used to verify the proposed controller. Experimental results demonstrated that the proposed controller gave satisfactory acceleration tracking performances on the REST.

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Robust force control with a feed-forward inverse model controller for electro-hydraulic control loading systems of flight simulators

Cited by 39 publications

References 30 publications

Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers

Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers

Real-time nonlinear adaptive force tracking control strategy for electrohydraulic systems with suppression of external vibration disturbance

Acceleration waveform replication on six-degree-of-freedom redundant electro-hydraulic shaking tables using an inverse model controller with a modelling error

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