Robust fractional PID controller synthesis approach for the permanent magnetic synchronous motor

Bouiadjra, Rochdi Bachir; Sedraoui, Moussa; Younsi, Abdelaziz

doi:10.1007/s13042-017-0685-5

Cited by 7 publications

(8 citation statements)

References 26 publications

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“…The actual PMSM behavior is commonly modeled by a nonlinear model that is given, in stationary reference frame, by (Bouiadjra et al, 2017; Cimini et al, 2013; Li and Liu, 2009; Wang et al, 2017):…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Therefore, Table 1 summarizes the meaning and the corresponding nominal values of diverse PMSM components (Bouiadjra et al, 2017).…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…In synthesis step of the H ∞ controller, the load torque C t is set by zero in equation (25). Afterward, the transfer function of the nominal plant G N ( s ) is computed by the Matlab ® function Linmod using the following block diagram (Bouiadjra et al, 2017).…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Conversely, when strong specifications are imposed, this selection becomes very hard (Özbay et al, 1993; Sarath, 2011) and the application domain of usual H ∞ synthesis method is therefore restrained. In permanent magnet synchronous motor (PMSM) drive control problems, the previous specification types may be imposed due to: nonlinear dynamic behavior, highly disturbance environment, actuator saturation, very adverse operating conditions, mechanical contact and lubrication (Bouiadjra et al, 2017). In order to avoid these drawbacks, various H ∞ synthesis methods based upon adjustable integer weights have been proposed since the last decades including the genetic algorithms (GA) (Nair, 2009), the particle swarm optimization (PSO) algorithm (Hamidi, 2012; Kaitwanidvilai et al, 2011), and others.…”

Section: Introductionmentioning

confidence: 99%

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A robust performance enhancement of primary H_∞ controller based on auto-selection of adjustable fractional weights: Application on a permanent magnet synchronous motor

Guessoum

Feraga

Mehennaoui

et al. 2019

Transactions of the Institute of Measurement and Control

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This paper proposes a new robustification strategy of a primary H∞ controller based on a systematic selection of adequate fractional weights. Its robust performance (RP) margin is well enhanced with respect to unstructured multiplicative uncertainties presented in linear feedback systems. The proposed robustification strategy provides a robustified H∞ controller when following proposed hierarchical control is well respected. First, the primary H ∞ controller is synthesized from solving a weighted-mixed sensitivity H∞ problem using initial integer weights. Thus, an initial RP margin is obtained. Second, an automatic selection of adjustable fractional weights is performed by the particle swarm optimization algorithm, in which some proposed tuning rules are accordingly well satisfied. Third, frequency response data of these weights are computed and then fitted by corresponding approximated integer weights using a frequency identification technique. Finally, these weights reformulate a new weighted-mixed sensitivity problem. The optimal solution to this problem updates the previous initial RP margin. These last three steps are repeated as the updated RP margin is diminished. Otherwise, the proposed hierarchical control is achieved by selecting the best adjustable fractional weights, providing, therefore, the best approximated integer weights and leading, therefore, to the robustified H∞ controller. In order to confirm the effectiveness of our proposed hierarchical control, primary and robustified H∞ controllers are applied on a permanent magnet synchronous motor where its actual behavior is modeled by an unstructured multiplicative uncertain model. The results obtained are compared in frequency domains using the singular value plots of their sensitivity functions. Otherwise, the same results are compared in time domains using the Powersim® software.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Therefore, Table 1 summarizes the meaning and the corresponding nominal values of diverse PMSM components (Bouiadjra et al, 2017).…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A robust performance enhancement of primary H_∞ controller based on auto-selection of adjustable fractional weights: Application on a permanent magnet synchronous motor

Guessoum

Feraga

Mehennaoui

et al. 2019

Transactions of the Institute of Measurement and Control

Self Cite

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“…In [21], the velocity control law of surface mount PMSLM with illuminance uncertainty based on multivariate method is proposed. Whereas in [22], in order to resolve the constraint optimization algorithm for the PMSLM speed-control problem, an integrated method for different robust fractional-order PID controllers is raised. The robust control is suitable for the applications where stability and reliability are required.…”

Section: Robust Controlmentioning

confidence: 99%

A Speed Disturbance Control Method Based on Sliding Mode Control of Permanent Magnet Synchronous Linear Motor

Jiang

Wang

et al. 2019

IEEE Access

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Permanent magnet synchronous linear motor (PMSLM) is a linear motion device, which has the characteristics of simple structure, low loss, high precision, repeatability, large stroke, and simple maintenance. Simultaneously, due to its feature of non-linearity, time-varying, strong coupling, and external load uncertainty, a speed disturbance control method base on sliding mode control of PMSLM is proposed in this paper. The method of sliding mode control uses the power function to smooth the processing. It replaces the symbolic function based on the exponential approach method; therefore, the buffeting of the conventional sliding mode can be well suppressed by this method. When considering different disturbances, the simulation proves that the sliding mode control system can overcome the influence of system parameter changes and external disturbances. Therefore, the control of the PMSLM can be achieved. Meanwhile, the simulation results show that the proposed new sliding mode approach rate can better suppress chattering compared with the traditional approach rate. Additionally, the stability of the system and anti-interference is improved.

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A new robust tilt-PID controller based upon an automatic selection of adjustable fractional weights for permanent magnet synchronous motor drive control

et al. 2021

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Robust fractional PID controller synthesis approach for the permanent magnetic synchronous motor

Cited by 7 publications

References 26 publications

A robust performance enhancement of primary H_∞ controller based on auto-selection of adjustable fractional weights: Application on a permanent magnet synchronous motor

A robust performance enhancement of primary H_∞ controller based on auto-selection of adjustable fractional weights: Application on a permanent magnet synchronous motor

A Speed Disturbance Control Method Based on Sliding Mode Control of Permanent Magnet Synchronous Linear Motor

A new robust tilt-PID controller based upon an automatic selection of adjustable fractional weights for permanent magnet synchronous motor drive control

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Robust fractional PID controller synthesis approach for the permanent magnetic synchronous motor

Cited by 7 publications

References 26 publications

A robust performance enhancement of primary H∞ controller based on auto-selection of adjustable fractional weights: Application on a permanent magnet synchronous motor

A robust performance enhancement of primary H∞ controller based on auto-selection of adjustable fractional weights: Application on a permanent magnet synchronous motor

A Speed Disturbance Control Method Based on Sliding Mode Control of Permanent Magnet Synchronous Linear Motor

A new robust tilt-PID controller based upon an automatic selection of adjustable fractional weights for permanent magnet synchronous motor drive control

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A robust performance enhancement of primary H_∞ controller based on auto-selection of adjustable fractional weights: Application on a permanent magnet synchronous motor

A robust performance enhancement of primary H_∞ controller based on auto-selection of adjustable fractional weights: Application on a permanent magnet synchronous motor