A Fuzzy Approach for Optimal Robust Control Design of an Automotive Electronic Throttle System

Sun, Hao; Zhao, Han; Huang, Kang; Qiu, Mingming; Zhen, Shengchao; Chen, Ye‐Hwa

doi:10.1109/tfuzz.2017.2688343

Cited by 70 publications

(33 citation statements)

References 30 publications

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“…for all δ, β ∈ R m , q,q ∈ R n , σ ∈ and t ∈ R. Subject to Assumption 1, the constructed system can be represented aṡ (26) in which h(•) and E(•) are the uncertain elements that represent the ''lumped'' uncertainties of this system. Assumption 2:…”

Section: Indirect Robust Control Designmentioning

confidence: 99%

“…Notice that, • denotes the euclidean norm of the concerned matrix in this paper; hence, δ denotes the euclidean norm of δ here. Next, subject to Assumptions 1-4, we are to design a robust control for the constructed system (23) or (26) to guarantee the every response of the system uniformly bounded and uniformly ultimately bounded. The control is proposed as…”

Section: Indirect Robust Control Designmentioning

confidence: 99%

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Regulating Constraint-Following Bound for Uncertain Mechanical Systems: An Indirect Control Approach

Sun

Yang

et al. 2020

IEEE Access

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This paper proposes an indirect approach of constraint-following control for mechanical systems with (possibly fast) time-varying uncertainty. It proposes to design controller for the system to render bounded constraint-following error. First, it prescribes a desired hard bound for the constraint-following error. The system is required to lie within the bound at all time. Second, the constraint-following error can eventually be sufficiently small. To accomplish this, the original system is transformed into a constructed system. Then a robust control for the constructed system is designed, with renders uniform boundedness and uniform ultimate boundedness, regardless of the uncertainty. It is further proven that when the constructed system is uniformly bounded and uniformly ultimately bounded, the constraint-following error of the original system stays within the predetermined bounded. In addition, it will become sufficiently small after a finite time. Therefore the desired bounded performance of the constraint-following error can be archived by the robust control. Since the control is not designed based on the original system, the approach is indirect.

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Section: Indirect Robust Control Designmentioning

confidence: 99%

Section: Indirect Robust Control Designmentioning

confidence: 99%

Regulating Constraint-Following Bound for Uncertain Mechanical Systems: An Indirect Control Approach

Sun

Yang

et al. 2020

IEEE Access

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“…Chen et al 10–18 have made some pioneering efforts on servo-constraint control with the methodology of approximate constraint following. In their studies, an equality constraint, which may be holonomic or nonholonomic, is considered to represent desired system performance and desired trajectory.…”

Section: Introductionmentioning

confidence: 99%

Adaptive robust control for tank stability: A constraint-following approach

Sun

Yang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article addresses a control problem for tank stability based on constraint following. The objective is to design a control to drive the tank stability control system to follow a pre-specified stability constraint approximately: with the consideration of (possibly) time-varying uncertainty (including system modeling error and road excitation), if the barrel deviates from the target angle, drive it to be arbitrarily close to the target angle; and if the barrel points to the target angle, drive it to stay there. This is formulated as a problem of approximate constraint-following control. First, as the model-based control design object, the dynamic equation of the tank stability control system with the system modeling error and the road excitation is obtained. Second, as the control objective, the stability constraint is formulated. Third, as the control strategy, an adaptive robust control is proposed for approximate constraint following. Fourth, as the control object, a virtual prototype model of tank driving on bumpy road is established with multi-body dynamics software RecurDyn. Finally, real-time servo control and target observation of the tank stability system are performed by co-simulation. It shows that the constraint-following error converges quickly to [Formula: see text] in 1.5 s. By this, the tank stability control system can be always stable even if the tank is driving and disturbed with frequent road excitation.

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“…Therefore, less attention has been attracted on the merge between the fuzzy theory and system theory (fuzzy dynamical system). Past efforts on fuzzy dynamical systems can be found in [32], [33], and many successful applications have been developed [34], [35].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor

et al. 2019

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In this paper, we design an optimal robust control to address the problem of position tracking control for permanent magnet linear motor (PMLM). The uncertainties in PMLM system, including parameters uncertainty and external disturbance, are nonlinear and time-varying. The uncertainties are assumed to be bounded, and the bounds are described via fuzzy sets. Then, a model-based robust control in deterministic form is proposed. Furthermore, an optimal robust control for PMLM system is formulated as a fuzzy performance index optimization problem, which associated with both the fuzzy system performance and the control cost. The resulting optimal control can guarantee the uniform boundedness and uniform ultimate boundedness. Moreover, on the experimental platform, rapid controller prototyping cSPACE is designed to avoid long time programming and debugging, and provides great convenience for practical operation. Numerical simulations and real-time experimental results are finally presented to illustrate the effectiveness of the optimal robust control for PMLM. INDEX TERMS Fuzzy set theory, optimal control, permanent magnet motors, robust control, uncertainty.

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A Fuzzy Approach for Optimal Robust Control Design of an Automotive Electronic Throttle System

Cited by 70 publications

References 30 publications

Regulating Constraint-Following Bound for Uncertain Mechanical Systems: An Indirect Control Approach

Regulating Constraint-Following Bound for Uncertain Mechanical Systems: An Indirect Control Approach

Adaptive robust control for tank stability: A constraint-following approach

Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor

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