Control of direct current motor by using artificial neural networks in Internal model control scheme

Perišić, Natalija; Jovanović, Radiša

doi:10.5937/fme2301109p

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…To make better use of the nearby area, a direction of movement (DM) parameter was added as (18) and (19).…”

Section: Gradient Search Rule (Gsr)mentioning

confidence: 99%

Controlling parameters proportional integral derivative of DC motor using a gradient-based optimizer

Aribowo,

Rahmadian,

Widyartono

et al. 2024

IJPEDS

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In this paper, a gradient-based optimizer (GBO) algorithm is presented to optimize the parameters of a proportional integral derivative (PID) controller in DC motor control. The GBO algorithm which mathematically models and mimics is inspired by the gradient-based Newton method. It was developed to address various optimization issues. To determine the performance of the proposed method, a comparison method with the ant colony optimization (ACO) method. It was compared using the integral of time multiplied absolute error (ITAE). They are most popularly used in the literature. From the test results, the proposed method is promising and has better effectiveness. The proposed method, namely GBO-PID, shows the best performance.

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“…To make better use of the nearby area, a direction of movement (DM) parameter was added as (18) and (19).…”

Section: Gradient Search Rule (Gsr)mentioning

confidence: 99%

Controlling parameters proportional integral derivative of DC motor using a gradient-based optimizer

Aribowo,

Rahmadian,

Widyartono

et al. 2024

IJPEDS

View full text Add to dashboard Cite

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Internal Model Control Design for Nonlinear Systems Based on Inverse Dynamic Takagi–Sugeno Fuzzy Model

Karama,

Ulu

2024

Processes

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In recent years, applications of inverse model-based control techniques have experienced significant growth in popularity and have been widely used in engineering applications, mainly in nonlinear control system design problems. In this study, a novel fuzzy internal model control (IMC) structure is presented for single-input-single-output (SISO) nonlinear systems. The proposed structure uses the forward and inverse dynamic Takagi–Sugeno (D-TS) fuzzy models of the nonlinear system within the IMC framework for the first time in literature. The proposed fuzzy IMC is obtained in a two-step procedure. A SISO nonlinear system is first approximated using a D-TS fuzzy system, of which the rule consequents are linearized subsystems derived from the nonlinear system. A novel approach is used to achieve the exact inversion of the SISO D-TS fuzzy model, which is then utilized as a control element within the IMC framework. In this way, the control design problem is simplified to the inversion problem of the SISO D-TS fuzzy system. The provided simulation examples illustrate the efficacy of the proposed control method. It is observed that SISO nonlinear systems effectively track the desired output trajectories and exhibit significant disturbance rejection performance by using the proposed control approach. Additionally, the results are compared with those of the proportional-integral-derivative control (PID) method, and it is shown that the proposed method exhibits better performance than the classical PID controller.

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Efficiency-based methodology for the selection of electric motors for mini-tractor propulsion

Alibek,

Bakhyt,

Troha

et al. 2024

FME Transactions

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This article deals with the research and analysis of electric motors and their matched transmission systems within the context of a versatile electric mini-tractor designed for tasks such as street cleaning, urban park maintenance, and transportation of small loads. The primary objective of the research is to assess the strengths and weaknesses of several electric motor and transmission combinations designed to meet the specific operational demands of the tractor. As the driveline has to provide substantial torque while maintaining optimal operating conditions and avoiding overheating, a series of experiments were conducted, covering various electric motor configurations operating within the 60V range, with power outputs ranging from 1000 to 1500 watts and including multiple gearbox variations. A comparative analysis was performed to assess the advantages and disadvantages of direct chain drive transmission solutions without a differential on a rigid axle, in contrast to a sealed motor-gearbox unit featuring differential and semi-axles. The results of this research were used for mathematical comparison of the driveline solutions, enabling the detection of optimally matched transmission and motor solutions. The experiments also covered the identification of energy-efficient solutions and optimal design parameters for an electric tractor explicitly designed for continuous operation exceeding 10 hours, with cargo capacity exceeding 500 kg, high off-road maneuverability, and a service life exceeding 5000 hours. The dynamic tests carried out during the research have provided valuable insight into the relation of the overall power efficiency of the vehicle to the weight and transmission ratio variations.

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Control of direct current motor by using artificial neural networks in Internal model control scheme

Cited by 3 publications

References 22 publications

Controlling parameters proportional integral derivative of DC motor using a gradient-based optimizer

Controlling parameters proportional integral derivative of DC motor using a gradient-based optimizer

Internal Model Control Design for Nonlinear Systems Based on Inverse Dynamic Takagi–Sugeno Fuzzy Model

Efficiency-based methodology for the selection of electric motors for mini-tractor propulsion

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