Optimizing a hybrid diesel power unit using extremum seeking control

Popp, Johannes; Deutscher, Joachim

doi:10.1016/j.ifacol.2017.08.736

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…18 A family of nonlinear systems with output constraints was considered and a constrained ESC consisting of a gradient estimator via a dither signal and optimization algorithm was proposed to achieve the optimum of the objective function. 19 We note that output constraints have been shown to arise in different control applications of ESC spanning from wastewater treatment plant, 20 control of nonisothermal reactors, 21 optimization of power units and smart grids, 22,23 traffic and source tracing control. 3,24 However, most of the state-of-the-art constrained ESC schemes rely on dither signals that seek for the gradients for the objective functions or guarantee convergence of the parameter estimates.…”

Section: Related Workmentioning

confidence: 99%

Numerical optimization‐based extremum seeking control of a class of constrained nonlinear systems via finite‐time state transition

Yuan

Fabiani

Baldi

2022

Intl J Robust & Nonlinear

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This article studies the extremum seeking control (ESC) problem for a class of constrained nonlinear systems. Specifically, we focus on a family of constraints that allows to reformulate the original nonlinear system in the so-called input-output normal form. To steer the system to optimize a performance function without knowing its explicit form, we propose a novel numerical optimization-based extremum seeking control (NOESC) design consisting of a constrained numerical optimization method and an inversion-based feedforward controller. In particular, a projected gradient descent algorithm is exploited to produce the state sequence to optimize the performance function, whereas a suitable boundary value problem accommodates the finite-time state transition between each two consecutive points of the state sequence. Compared to available NOESC methods, the proposed approach (i) can explicitly deal with output constraints; (ii) can consider a direct dependence on the states of the internal dynamics in the performance function; (iii) the internal dynamics do not have to be necessarily stable. The effectiveness of the proposed ESC scheme is shown through extensive numerical simulations and design of antilock braking systems.

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Section: Related Workmentioning

confidence: 99%

Numerical optimization‐based extremum seeking control of a class of constrained nonlinear systems via finite‐time state transition

Yuan

Fabiani

Baldi

2022

Intl J Robust & Nonlinear

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show abstract

“…As we all know, for the systems that are difficult to build an accurate model, while maintaining the stability and boundedness of the signal, the so-called extreme seeking control (ESC) has the advantage of autonomously finding the optimal system behavior for target tracking 9 , 10 . Therefore, it will be chosen as the strategy for the slow-scanning axis control of EMM.…”

Section: Introductionmentioning

confidence: 99%

Model guided extremum seeking control of electromagnetic micromirrors

Sun

Tan

2021

Sci Rep

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In this paper, a simplified dynamic model is constructed to describe the main characteristic of electromagnetic micro-mirror. Then, based on the information provided by the derived simplified model, a model-guided extremum seeking control (MGESC) scheme with backtracking line search is developed, which can automatically estimate the best value of step-size at each search iteration to improve the performance of the control system for target tracking. Then, the convergence of the proposed MGES algorithm is proved. Finally, the experimental results and the simulations are presented to verify the proposed method.

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“…Therefore, there is a requirement of reliability in slowscan axis control compared to the one of reliability in quick-scan axis control and a more advanced control method need to be exploited for the slow-scan axis control compared to common control at present, in which the parameters are tuned by experience. Extremum seeking control has an advantage to autonomously finding an optimal system behavior (e.g., set point or trajectory to be tracked) for the system in the control field, while at the same time maintaining stability and boundedness of signals [9], [10]. So it is first considered for the slow-scan axis control in this paper.…”

Section: Introductionmentioning

confidence: 99%

An Advanced Extremum Seeking Scheme for the Target Trajectory in Electromagnetic Micromirror System

Sun

Tan

2021

Preprint

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Now two problems result in bad control in the development of the electromagnetic micromirror system. One is that theoretical model in electromagnetic micromirror system is difficult to be determined; Another is that parameters in common control need to be tuned according to the experience. In this paper, cost function concept is proposed to determine the model order in slow-scan axis control of the electromagnetic micromirror. Then recursive least square scheme is built to off-line identify this model. Furthermore, an advanced extremum seeking scheme along with backtracking line search is exploited, which can automatically identify the best parameter value before each extremum search to improve the controllability based on this model for the target trajectory in slow-scan axis control. And the convergence of it is proved. Finally, the experiments and the simulations verify this method proposed valid.

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Optimizing a hybrid diesel power unit using extremum seeking control

Cited by 4 publications

References 8 publications

Numerical optimization‐based extremum seeking control of a class of constrained nonlinear systems via finite‐time state transition

Numerical optimization‐based extremum seeking control of a class of constrained nonlinear systems via finite‐time state transition

Model guided extremum seeking control of electromagnetic micromirrors

An Advanced Extremum Seeking Scheme for the Target Trajectory in Electromagnetic Micromirror System

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