2019
DOI: 10.1109/access.2019.2944197
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A Novel Adaptive Gain Integral Terminal Sliding Mode Control Scheme of a Pneumatic Artificial Muscle System With Time-Delay Estimation

Abstract: This paper develops a novel adaptive gain integral terminal sliding mode control with timedelay estimation to enhance the control performance of a pneumatic artificial muscle system. The main contribution of the paper is that the proposed control method can enable the benefits of both terminal sliding mode technique and an integral sliding mode approach. Thus, the controlled system not only achieves finite time convergence and robust performance but also attenuates the drawback of the reaching phase in the con… Show more

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Cited by 26 publications
(19 citation statements)
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“…Next, the control gains of the proportional-integralderivative (PID) control with sensor fault compensation (PIDC) are selected as kp = 50, ki = 10, kd = 1.3. Because of the well-known technique, the design of PID is skipped in this paper and can be searched in [9], [12]. Finally, the PID controller without NUIO is applied under the same parameter as the PIDC.…”
Section: A Simulation Setupmentioning
confidence: 99%
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“…Next, the control gains of the proportional-integralderivative (PID) control with sensor fault compensation (PIDC) are selected as kp = 50, ki = 10, kd = 1.3. Because of the well-known technique, the design of PID is skipped in this paper and can be searched in [9], [12]. Finally, the PID controller without NUIO is applied under the same parameter as the PIDC.…”
Section: A Simulation Setupmentioning
confidence: 99%
“…In detail, the hydraulic system always exists parametric uncertainties, external disturbance, and unmodeled nonlinearities as well as faults [1]- [4]. In order to improve the system performance, the disturbance is not only needfully suppressed but also compensated by assisted techniques such as extended state observer [5], [6], neural network (NN) approximators [7]- [10] fuzzy logic system (FLS) [11], time-delay estimation (TDE) [12], [13], etc. In a certain way, the disturbances or uncertainties can be considered as faults, which seriously affect system performance and safety [14].…”
Section: Introductionmentioning
confidence: 99%
“…Following the above remarks, assumptions and on the system characteristics in the related study [22], the parameters of the proposed FNTSMC for the master and slave systems are selected as λm = λs = 8, pm = ps = 5, qm = qs = 7, 4 10 , ms  − == νm = νs = 9/11, εm = εs = 0.1, ρ1m = ρ1s = 10, ρ2m = ρ2s = 2. Hence, the parameters of the PID controller were initialized by using Zigler-Nichol method, which were selected as KP = 3.8, KI = 25 and KD = 0.15.…”
Section: B Tracking Control Performancementioning
confidence: 99%
“…The Lyapunov stability analysis is the most popular approach to prove the stability and evaluate the stable convergence property of the non-linear controller [56]. To investigate the ISMC stability, the Lyapunov function [57,58] is defined as…”
Section: B Stabilitymentioning
confidence: 99%