Analysis, modeling, identification and control of pancake DC torque motors: Application to automobile air path actuators

Ahmed, Fayez Shakil; Laghrouche, Salah; Bagdouri, M. El

doi:10.1016/j.mechatronics.2012.01.004

Cited by 18 publications

(23 citation statements)

References 21 publications

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“…where ϑ is the shaft angle, ϑ is the shaft angular velocity, and z is the is the average deflection of the bristles before slipping [25]. Using the first-principle equations of the dynamics of all components of the automotive torque motor, the state-space model of the controlled process is [25] ,…”

Section: Optimization Problemmentioning

confidence: 99%

“…Using the first-principle equations of the dynamics of all components of the automotive torque motor, the state-space model of the controlled process is [25] ,…”

Section: Optimization Problemmentioning

confidence: 99%

“…) (ϑ φ is the magnetic flux linkage, a R is the motor coil resistance which depends on the temperature T [25] ) (…”

Section: Optimization Problemmentioning

confidence: 99%

“…As mentioned in [25], the PID controllers can be used for the process (1). The transfer function ) (s C of the PID controller is…”

Section: Optimization Problemmentioning

confidence: 99%

“…The performance analysis concerns the comparison of the values of the objective function obtained by the application of the BFO algorithms. Our BFO algorithms are general, but they are applied here to the shaft angle control of a pancake direct current (DC) torque motor in the framework of a Diesel engine exhaust gas recirculation valve [25]. The BFA algorithms are characterized by a specific validation condition which states that the controlled output (namely, the shaft angle) has to be in the range of the reference input with a tolerance of % 2 ±…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of torque motor systems with PID controllers tuned by Bacterial Foraging Optimization algorithms

Precup

Borza

Rădac

et al. 2014

2014 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applicati

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This paper deals with the optimal tuning of proportional-integral-derivative (PID) controllers for a pancake direct current (DC) torque motor system that belongs to a Diesel engine exhaust gas recirculation valve in automotive applications. The Bacterial Foraging Optimization (BFO) algorithms solve an optimization problem which targets the minimization of an objective function expressed as the weighted sum of overshoot plus the integral of squared control error, and the parameters of the PID controllers are the variables of the objective function. Our BFO algorithms are characterized by the validation of the position of bacteria only if the PID control system response is in a valid range. A digitally simulated case study which deals with the shaft angle control of a DC torque motor system is considered. The impact of four parameters of one BFO algorithm on the objective function values is discussed.

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Section: Optimization Problemmentioning

confidence: 99%

“…Using the first-principle equations of the dynamics of all components of the automotive torque motor, the state-space model of the controlled process is [25] ,…”

Section: Optimization Problemmentioning

confidence: 99%

“…) (ϑ φ is the magnetic flux linkage, a R is the motor coil resistance which depends on the temperature T [25] ) (…”

Section: Optimization Problemmentioning

confidence: 99%

“…As mentioned in [25], the PID controllers can be used for the process (1). The transfer function ) (s C of the PID controller is…”

Section: Optimization Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Performance analysis of torque motor systems with PID controllers tuned by Bacterial Foraging Optimization algorithms

Precup

Borza

Rădac

et al. 2014

2014 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applicati

View full text Add to dashboard Cite

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Adaptive backstepping output feedback control of DC motor actuator with friction and load uncertainty compensation

Ahmed

Laghrouche

Harmouche

2014

Intl J Robust & Nonlinear

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SummaryIn this paper, we present an output feedback backstepping controller for mechatronic actuators with dynamic adaptive parameters for friction and load compensation. The targeted application is angular position control of automotive mechatronic valves, which possess nonlinear dynamics due to friction. The proposed controller requires only position measurement. The velocity, current, and friction dynamics are obtained by estimation and observation. The adaptive control law compensates the variations in friction behavior and load torque variation, which are common in real life applications. Lyapunov analysis has been used to show the asymptotic convergence of the closed‐loop system to zero. Simulation and laboratory experimental results illustrate the effectiveness and robustness of the controller. Further experiments on an engine test bench demonstrate the applicability of this controller in commercial engines, as well as its effectiveness as compared with conventional PI controllers.Copyright © 2014 John Wiley & Sons, Ltd.

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Adaptive sliding mode control of the A-axis used for blisk manufacturing

Zhao

Shi

2014

Chinese Journal of Aeronautics

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Analysis, modeling, identification and control of pancake DC torque motors: Application to automobile air path actuators

Cited by 18 publications

References 21 publications

Performance analysis of torque motor systems with PID controllers tuned by Bacterial Foraging Optimization algorithms

Performance analysis of torque motor systems with PID controllers tuned by Bacterial Foraging Optimization algorithms

Adaptive backstepping output feedback control of DC motor actuator with friction and load uncertainty compensation

Adaptive sliding mode control of the A-axis used for blisk manufacturing

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