The Experts below are selected from a list of 25290 Experts worldwide ranked by ideXlab platform
Tooraj Abbasian Najafabadi - One of the best experts on this subject based on the ideXlab platform.
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speed Sensorless and Sensor fault tolerant optimal pi regulator for networked dc motor system with unknown time delay and packet dropout
IEEE Transactions on Industrial Electronics, 2014Co-Authors: Aliakbar Ahmadi, Farzad Rajaei Salmasi, Mojtaba Noorimanzar, Tooraj Abbasian NajafabadiAbstract:Sensorless and Sensor-fault-resilient control of a networked dc motor system (NDCMS) with an optimal integral-square-error proportional-integral (PI) controller is considered, while network-induced delays and packet dropouts are taken into account. A sliding-mode observer is developed to estimate rotor speed and unknown load torque for the networked system. Then, a PI controller is designed such that the overall NDCMS with complete or partial Sensor Failure is stabilized and a linear quadratic cost function is sufficiently minimized. Optimal controller parameters are determined by solving bilinear matrix inequalities. The numerical and experimental tests are performed to evaluate the feasibility and applicability of the networked Sensorless or Sensor-fault-tolerant controller. The results show good performance in both estimation and control objectives.
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detection and isolation of speed dc link voltage and current Sensor faults based on an adaptive observer in induction motor drives
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Tooraj Abbasian Najafabadi, Farzad Rajaei Salmasi, Parviz JabehdarmaralaniAbstract:A Sensor fault detection and isolation unit is considered for induction-motor drives based on an adaptive observer with rotor-resistance estimation. Generally, closed-loop induction-motor drives with voltage-source inverters use a speed or position, a dc-link voltage, and two or three phase-current Sensors. In the proposed fault-detection and isolation unit, the estimated phase currents and rotor resistance are sent to a decision-making unit, which identifies the faulty Sensor type based on a deterministic rule base. In the case of a current-Sensor Failure, it also detects the phase with erroneous Sensor output. It is shown that, unlike the other proposed model-based fault-tolerant systems, using a bank of observers is not necessary, and only one current observer with rotor-resistance estimation is sufficient for isolation of all Sensors' faults. The accuracy of the proposed approach is analytically proved. Furthermore, extensive simulation and experimental tests verify the effectiveness of the proposed method at different operating conditions.
Demba Diallo - One of the best experts on this subject based on the ideXlab platform.
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Design of a fault-tolerant controller based on observers for a PMSM drive
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Ahmad Akrad, Mickaël Hilairet, Demba DialloAbstract:This paper presents a specific controller architecture devoted to obtain a permanent-magnet synchronous motor (PMSM) drive that is robust to mechanical Sensor Failure. In order to increase the reliability which is a key issue in industrial and transportation applications (electric or hybrid ground vehicle or aerospace actuators), two virtual Sensors (a two-stage extended Kalman filter and a back-electromotive-force adaptive observer) and a maximum-likelihood voting algorithm are combined with the actual Sensor to build a fault-tolerant controller (FTC). The observers are evaluated through simulation and experimental results. The FTC feasibility is proved through simulations and experiments on a 1.1-kW PMSM drive.
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A Fault-Tolerant Control Architecture for Induction Motor Drives in Automotive Applications
IEEE Transactions on Vehicular Technology, 2004Co-Authors: Demba Diallo, Mohamed El Hachemi Benbouzid, Abdesslam MakoufAbstract:This paper describes a fault-tolerant control system for a high-performance induction motor drive that propels an electrical vehicle (EV) or hybrid electric vehicle (HEV). In the proposed control scheme, the developed system takes into account the controller transition smoothness in the event of Sensor Failure. Moreover, due to the EV or HEV requirements for Sensorless operations, a practical Sensorless control scheme is developed and used within the proposed fault-tolerant control system. This requires the presence of an adaptive flux observer. The speed estimator is based on the approximation of the magnetic characteristic slope of the induction motor to the mutual inductance value. Simulation results, in terms of speed and torque responses, show the effectiveness of the proposed approach.
John Chiasson - One of the best experts on this subject based on the ideXlab platform.
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Nonlinear Differential-Geometric Techniques for Control of a Series DC Motor
IEEE Transactions on Control Systems Technology, 1994Co-Authors: John ChiassonAbstract:The problem of controlling a series DC motor using only current measurements is considered. It is shown that both speed and load-torque may be estimated from the current measurements. Two nonlinear feedback laws are considered based on feedback linearization and input-output linearization, respectively. Both of these control laws require knowledge of the speed and load-torque. The speed/torque estimation scheme and the control schemes are valid in the presence of magnetic saturation in the field circuit and when high-speed field-weakening is employed. By neglecting the armature inductance, the estimation is accomplished using nonlinear state-space and output-space transformations to construct an observer with linear error-dynamics whose rate of convergence may be arbitrarily specified. (Such an observer could provide reliability to existing systems in the event of a speed Sensor Failure.) The feedback-linearization controller involves a nontrivial state-space transformation allowing control of the full state trajectory. An input-output linearization controller with stable internal dynamics is also explicitly constructed. Finally, simulations are given to demonstrate the algorithms
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nonlinear differential geometric techniques for control of a series dc motor
American Control Conference, 1993Co-Authors: John ChiassonAbstract:The problem of controlling a Series DC motor using only current measurements is considered. It is shown that both speed and load-torque may be estimated from the current measurements for use in two proposed nonlinear controllers. The two proposed feedback laws are based on feedback linearization and input-output linearization. Further, both the speed/torque estimation scheme and the control schemes are valid in the prescence of magnetic saturation in the field circuit and when high-speed field-weakening is employed. The estimation is accomplished by using nonlinear state-space and output-space transformations to construct an observer with linear error-dynamics whose rate of convergence may be arbitrarily specified. (Such an observer could provide reliability to existing systems in the event of a speed Sensor Failure.) The feedback-linearization controller involves a non-trivial state-space transformation allowing control of the full state trajectory. It is then shown that a simpler input-output linearization controller with stable internal dynamics exists and is explicitly constructed.
Farzad Rajaei Salmasi - One of the best experts on this subject based on the ideXlab platform.
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speed Sensorless and Sensor fault tolerant optimal pi regulator for networked dc motor system with unknown time delay and packet dropout
IEEE Transactions on Industrial Electronics, 2014Co-Authors: Aliakbar Ahmadi, Farzad Rajaei Salmasi, Mojtaba Noorimanzar, Tooraj Abbasian NajafabadiAbstract:Sensorless and Sensor-fault-resilient control of a networked dc motor system (NDCMS) with an optimal integral-square-error proportional-integral (PI) controller is considered, while network-induced delays and packet dropouts are taken into account. A sliding-mode observer is developed to estimate rotor speed and unknown load torque for the networked system. Then, a PI controller is designed such that the overall NDCMS with complete or partial Sensor Failure is stabilized and a linear quadratic cost function is sufficiently minimized. Optimal controller parameters are determined by solving bilinear matrix inequalities. The numerical and experimental tests are performed to evaluate the feasibility and applicability of the networked Sensorless or Sensor-fault-tolerant controller. The results show good performance in both estimation and control objectives.
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detection and isolation of speed dc link voltage and current Sensor faults based on an adaptive observer in induction motor drives
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Tooraj Abbasian Najafabadi, Farzad Rajaei Salmasi, Parviz JabehdarmaralaniAbstract:A Sensor fault detection and isolation unit is considered for induction-motor drives based on an adaptive observer with rotor-resistance estimation. Generally, closed-loop induction-motor drives with voltage-source inverters use a speed or position, a dc-link voltage, and two or three phase-current Sensors. In the proposed fault-detection and isolation unit, the estimated phase currents and rotor resistance are sent to a decision-making unit, which identifies the faulty Sensor type based on a deterministic rule base. In the case of a current-Sensor Failure, it also detects the phase with erroneous Sensor output. It is shown that, unlike the other proposed model-based fault-tolerant systems, using a bank of observers is not necessary, and only one current observer with rotor-resistance estimation is sufficient for isolation of all Sensors' faults. The accuracy of the proposed approach is analytically proved. Furthermore, extensive simulation and experimental tests verify the effectiveness of the proposed method at different operating conditions.
Abdesslam Makouf - One of the best experts on this subject based on the ideXlab platform.
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A Fault-Tolerant Control Architecture for Induction Motor Drives in Automotive Applications
IEEE Transactions on Vehicular Technology, 2004Co-Authors: Demba Diallo, Mohamed El Hachemi Benbouzid, Abdesslam MakoufAbstract:This paper describes a fault-tolerant control system for a high-performance induction motor drive that propels an electrical vehicle (EV) or hybrid electric vehicle (HEV). In the proposed control scheme, the developed system takes into account the controller transition smoothness in the event of Sensor Failure. Moreover, due to the EV or HEV requirements for Sensorless operations, a practical Sensorless control scheme is developed and used within the proposed fault-tolerant control system. This requires the presence of an adaptive flux observer. The speed estimator is based on the approximation of the magnetic characteristic slope of the induction motor to the mutual inductance value. Simulation results, in terms of speed and torque responses, show the effectiveness of the proposed approach.
