Nonlinear H-infinity Feedback Control for Asynchronous Motors of Electric Trains

Rigatos, Gerasimos; Siano, Pierluigi; Wira, Patrice; Profumo, F.

doi:10.1007/s40903-015-0020-y

Cited by 78 publications

(25 citation statements)

References 33 publications

(36 reference statements)

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“…The H ∞ theory offers a reliable procedure for synthesizing a controller that optimally verifies singular value loop-shaping specifications [11][12][13][14][15][16][17]. The standard setup of the H ∞ control problem consists of finding a static or dynamic feedback controller such that the H ∞ norm (a standard quantitative measure for the size of the system uncertainty) of the closed-loop transfer function below a given positive number under the constraint that the closed-loop system is internally stable.…”

Section: Design Of the Proposed Controller Based On H ∞ Theorymentioning

confidence: 99%

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Robust Speed Controller Design Using H_infinity Theory for High-Performance Sensorless Induction Motor Drives

et al. 2019

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In this paper, a robust speed control scheme for high dynamic performance sensorless induction motor drives based on the H_infinity (H) theory has been presented and analyzed. The proposed controller is robust against system parameter variations and achieves good dynamic performance. In addition, it rejects disturbances well and can minimize system noise. The H controller design has a standard form that emphasizes the selection of the weighting functions that achieve the robustness and performance goals of motor drives in a wide range of operating conditions. Moreover, for eliminating the speed encoder—which increases the cost and decreases the overall system reliability—a motor speed estimation using a Model Reference Adaptive System (MRAS) is included. The estimated speed of the motor is used as a control signal in a sensor-free field-oriented control mechanism for induction motor drives. To explore the effectiveness of the suggested robust control scheme, the performance of the control scheme with the proposed controllers at different operating conditions such as a sudden change of the speed command/load torque disturbance is compared with that when using a classical controller. Experimental and simulation results demonstrate that the presented control scheme with the H controller and MRAS speed estimator has a reasonable estimated motor speed accuracy and a good dynamic performance.

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Section: Design Of the Proposed Controller Based On H ∞ Theorymentioning

confidence: 99%

“…The authors of this paper recommended future work to eliminate the speed sensor and to minimization the implementation time. An interesting research work about the application of induction machines drives has been presented in Reference [17]. The control scheme is applied for Electric Trains application.…”

Section: Introductionmentioning

confidence: 99%

Robust Speed Controller Design Using H_infinity Theory for High-Performance Sensorless Induction Motor Drives

et al. 2019

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“…Actually, in the present article, a nonlinear optimal control approach is developed for the propulsion system of electric ships, comprising a three-phase induction motor, a drivetrain and a propeller. Nonlinear optimal (H-infinity) control for electric power systems and actuators has been analyzed in [12]- [13]. First, the dynamic model of the propulsion system undergoes approximate linearization around a temporary operating point (equilibrium) which is recomputed at each iteration of the control algorithm.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear optimal control for ship propulsion with the use of an induction motor and a drivetrain

et al. 2018

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Abstract.A nonlinear optimal (H-infinity) control method is proposed for an electric ship's propulsion system that consists of an induction motor, a drivetrain and a propeller. The control method relies on approximate linearization of the propulsion system's dynamic model using Taylor-series expansion and on the computation of the state-space description's Jacobian matrices. The linearization takes place around a temporary equilibrium which is recomputed at each time-step of the control method. For the approximately linearized model of the ship's propulsion system, an H-infinity (optimal) feedback controller is developed. For the computation of the controller's gains an algebraic Riccati equation is solved at each iteration of the control algorithm.The stability properties of the control method are proven through Lyapunov analysis,

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“…[20][21][22][23] In this article a nonlinear optimal control method is developed for a star-shaped octorotor. [24][25][26] To this end, the dynamic model of the octorotor undergoes first approximate linearization around a temporary operating point which is recomputed at each time-step of the control algorithm. This operating point is defined by the present value of the UAV's state vector and by the last value of the control inputs vector that was applied on it.…”

mentioning

confidence: 99%

A nonlinear optimal control approach for the autonomous octorotor

et al. 2020

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The article proposes a nonlinear optimal control approach for the model of the autonomous octorotor. This aerial drone has improved load transport capability due to being actuated by eight rotors. The dynamic model of the octorotor undergoes approximate linearization with the use of Taylor series expansion around a temporary operating point which is recomputed at each iteration of the control method. For the approximately linearized model an H‐infinity feedback controller is designed. The linearization procedure relies on the computation of the Jacobian matrices of the state‐space model of the octorotor. The proposed control method stands for the solution of the optimal control problem for the nonlinear and multivariable dynamics of this aerial drone, under model uncertainties, and external perturbations. For the computation of the controller's feedback gains an algebraic Riccati equation is solved at each time‐step of the control method. The new nonlinear optimal control approach achieves fast and accurate tracking for all state variables of the octorotor, under moderate variations of the control inputs. The stability properties of the control scheme are proven through Lyapunov analysis. It can be noted that: (1) the novelty/innovation of this research work is in presenting a novel and genuine nonlinear optimal control method for the octocopter's model, (2) the significance of the presented method is in achieving fast and accurate tracking of reference setpoints for the octocopter under moderate variations of the control inputs. By minimizing energy consumption by the actuators of the UAV its autonomy and operational capacity is improved, (3) the intellectual contribution of the article is in solving the nonlinear optimal control problem for the octocopter in an effective, yet computationally efficient manner.

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Nonlinear H-infinity Feedback Control for Asynchronous Motors of Electric Trains

Cited by 78 publications

References 33 publications

Robust Speed Controller Design Using H_infinity Theory for High-Performance Sensorless Induction Motor Drives

Robust Speed Controller Design Using H_infinity Theory for High-Performance Sensorless Induction Motor Drives

Nonlinear optimal control for ship propulsion with the use of an induction motor and a drivetrain

A nonlinear optimal control approach for the autonomous octorotor

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