Particle swarm optimization of artificial-neural-network-based on-line trained speed controller for battery electric vehicle

Ufnalski, Bartłomiej; Grzesiak, Lech M.

doi:10.2478/v10175-012-0059-9

Cited by 13 publications

(6 citation statements)

References 19 publications

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“…This means that, in order to maximise the controllability, guarantee the secure operation of the interconnected systems as well as ensure adequate possibilities for cross-border energy trade, development of a method for coordinated control of PSTs in the CEE region and appropriate interconnection arrangements are required. The PST control method can be based on metaheuristic optimization algorithms [22], such as particle swarm optimization (PSO) [23][24][25]. It should be noted that the operation of PSTs affects the operation of neighbouring systems; therefore, their use needs to be preceded by international arrangements.…”

Section: Discussionmentioning

confidence: 99%

Impact of phase shifting transformers on cross-border power flows in the Central and Eastern Europe region

Korab¹,

Owczarek²

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. Unscheduled power flows are a serious problem for the Central and Eastern Europe (CEE) region. One method of reducing these undesirable flows relies on the use of phase shifting transformers (PSTs). This paper presents how the installation of PSTs on the Polish-German and Czech-German borders affects cross-border power flows in the CEE region, as well as interactions between these devices. The essential parameters proposed for PSTs are based on the effects arising from the application of PSTs on the border between Poland and Germany. The results demonstrate that the use of PSTs in the CEE region can provide effective control of active power flows in tie-lines and significantly reduce unscheduled flows. However, the operation of these devices must be coordinated in order to achieve maximum controllability and to guarantee the secure operation of the interconnected systems.

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Section: Discussionmentioning

confidence: 99%

Impact of phase shifting transformers on cross-border power flows in the Central and Eastern Europe region

Korab¹,

Owczarek²

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…In order to formulate the identification problem the GA [22][23][24][25] and PSO method [26][27][28] have been used. The following objective function was adopted in optimization process [29]:…”

Section: Problem Solutionmentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Cekus,

Kwiatoń,

Šofer

et al. 2022

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The article presents the process of identifying discrete-continuous models with the use of heuristic algorithms. A stepped cantilever beam was used as an example of a discrete-continuous model. The theoretical model was developed based on the formalism of Lagrange multipliers and the Timoshenko theory. Based on experimental research, the theoretical model was validated and the optimization problem was formulated. Optimizations were made for two algorithms: genetic (GA) and particle swarm (PSO). The minimization of the relative error of the obtained experimental and numerical results was used as the objective function. The performed process of identifying the theoretical model can be used to determine the eigenfrequencies of models without the need to conduct experimental tests. The presented methodology regarding the parameter identification of the beams with the variable cross-sectional area (according to the Timosheno theory) with additional discrete components allows us to solve similar problems without the need to exit complex patterns.

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“…It has been demonstrated in numerous studies that an FFNN trained in the online mode using error backpropagation (BP) methods such as L-M or resilient BPs (RPROPs) can effectively control non-repetitive processes [22][23][24][25][26][27][28][29][30][31]. Surprisingly, the well-documented usefulness of online trained neurocontrollers for non-repetitive processes in adjustable speed drives and generators has not been followed by a similarly rich literature on neurocontrollers for repetitive processes.…”

Section: The K-direction Controller (The Basic Approach)mentioning

confidence: 99%

Repetitive neurocontroller with disturbance feedforward path active in the pass-to-pass direction for a VSI inverter with an output LC filter

Ufnalski

Grzesiak

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. An enhancement to the previously developed repetitive neurocontroller (RNC) is discussed and investigated in the paper. Originally, the time-base generator (TBG) has been used to produce the only input signal for the neural approximator. The resulting search space makes the dynamic optimization problem (DOP) of shaping the control signal solvable with the help of a function approximator such as the feed-forward neural network (FFNN). The plant under consideration, i.e. a constant-amplitude constant-frequency voltage-source inverter (CACF VSI) with an output LC filter, is assumed to be equipped with the disturbance load current sensor to enable implementation of the disturbance feed-forward (pDFF) path as a part of the non-repetitive subsystem acting in the along the pass p-direction. An investigation has been undertaken to explore potential benefits of using this signal also as an additional input for the RNC to augment the approximation space and potentially enhance the convergence rate of the real-time search process. It is numerically demonstrated in the paper that the disturbance feed-forward path active in the pass-to-pass k-direction (kDFF) improves the dynamics of the repetitive part as well indeed.

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Particle swarm optimization of artificial-neural-network-based on-line trained speed controller for battery electric vehicle

Cited by 13 publications

References 19 publications

Impact of phase shifting transformers on cross-border power flows in the Central and Eastern Europe region

Impact of phase shifting transformers on cross-border power flows in the Central and Eastern Europe region

Bulletin of the Polish Academy of Sciences: Technical Sciences

Repetitive neurocontroller with disturbance feedforward path active in the pass-to-pass direction for a VSI inverter with an output LC filter

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