Nonlinear Optimal Generalized Predictive Functional Control Applied to Quasi-LPV Model of Automotive Electronic Throttle

Alotaibi, Sattam; Grimble, M.J.

doi:10.1109/icca.2019.8899985

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…To avoid that issue, the outputs ( 23) and ( 24) are involved in a single cost function by considering the weighted coefficient method [38,39]. Several weighted coefficient optimal control approaches have been presented and evaluated for practical systems, including [40][41][42]. Thereby, this paper uses the same scheme to propose novel optimal controller design conditions.…”

Section: Optimal Controller Designmentioning

confidence: 99%

Optimal gain‐scheduling control of proton exchange membrane fuel cell: An LMI approach

Afsharinejad

Asemani

Dehghani

et al. 2021

IET Renewable Power Gen

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Here, an optimal linear parameter varying (LPV) controller is developed for non‐linear proton exchange membrane fuel cell (PEMFC) systems. Two performance criteria are involved in the optimal controller, including the membrane pressure and the power of the PEMFC. The former should be minimized; and, the latter should be maximized. Since the goal is to derive sufficient conditions in terms of linear matrix inequality (LMI) constraints, both performances are re‐formulated and augmented in a unique convex optimization problem. Further, the non‐linear PEMFC with the equilibrium profile dependent on time‐varying parameters, that is, current and temperature, is represented by an LPV model. Using the LMI constraints and the obtained LPV model, the gains of the controller are derived. Comparing with the state‐of‐the‐art methods, the proposed approach offers an optimal control approach with a systematic design method, in which both practical issues are treated, simultaneously. To show the advantages of the developed approach, six typical controllers, including the proposed and existing approaches, are considered and several numerical simulation results are conducted.

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Section: Optimal Controller Designmentioning

confidence: 99%

Optimal gain‐scheduling control of proton exchange membrane fuel cell: An LMI approach

Afsharinejad

Asemani

Dehghani

et al. 2021

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…The merit of using the Sd model of PWA systems is because Sd systems are much simpler to construct since all state, input constraints and logic state can be incorporated in the Sd system model. This work is the Nonlinear Generalized Predictive Functional Control (NGPFC) [12], [13] extension for PWA systems. PWA is a main class of HS and a proper structure to describe or approximate various physical processes as approximating NL systems using multiple linearizations over different operating points.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Optimal Generalized Predictive Functional Control of Piecewise Affine Systems

Alotaibi

Grimble

Cavanini

2021

2021 29th Mediterranean Conference on Control and Automation (MED)

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An algorithm for nonlinear optimal generalized predictive functional control is defined for controlling discretetime piecewise affine systems. The main piecewise affine form is transferred into a corresponding state-dependent system form. The principal piecewise affine system's hybrid properties are retained, and both the continuous and switching dynamics are combined in the same system description. This method enables the use of nonlinear generalized predictive functional control for this hybrid system class. In the generalized predictive functional control method, different classical controller structures can be employed in the feedback loop, such as PI, PID or other classical transfer-function structures. The loop controller is defined here to have a PI structure, and its selected linear transfer-functions set is multiplied by gains that are found to minimize a GPC type of cost-index. The simulation results are shown using a model of a continuous stirred tank reactor.

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Restricted Structure Polynomial Systems Approach to LPV Generalized Predictive Control

2021

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Nonlinear Optimal Generalized Predictive Functional Control Applied to Quasi-LPV Model of Automotive Electronic Throttle

Cited by 3 publications

References 18 publications

Optimal gain‐scheduling control of proton exchange membrane fuel cell: An LMI approach

Optimal gain‐scheduling control of proton exchange membrane fuel cell: An LMI approach

Nonlinear Optimal Generalized Predictive Functional Control of Piecewise Affine Systems

Restricted Structure Polynomial Systems Approach to LPV Generalized Predictive Control

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