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High performance interior permanent magnet synchronous machines show nonlinear magnetics due to saturation and cross-coupling. Nonlinear differential equations describe these phenomena and make feedback control challenging. This paper presents a predictive control method to precisely control the dynamics of these machines. Four real-time capable strategies to online identify transient trajectories...
In this paper a sensorless Predictive Torque Control (PTC) is proposed. The reduced order observer is used for stator flux estimation. The prediction model and also the reduced order observer are reinforced by a proposed PI offset compensation scheme for accurate flux and torque prediction and also estimation without the need for speed sensor. Cost function base predictive control is exploited. Method...
In this paper two methods of torque control for induction motor have been investigated. First DTC method is implemented by using PI regulators and three-level inverter. Then an improved predictive torque control is developed and performed with two-level inverter. In the proposed predictive control the next torque and flux are predicted by discrete model of motor and inverter. Afterward the feasible...
Traveling Wave Ultrasonic Motors (TWUSMs) possess extreme nonlinear properties such as saturation reverse effect and dead-zone, which are reliant on the driving conditions. These characteristics make modeling and control of TWUSMs highly challenging. Thus, deriving a simple and precise mathematical model suitable for controlling USMs has been a major problem for researchers. In this paper, a multi-layer...
Multiphase electric drives have been recently proposed for applications where the highest overall system reliability, combined with a reduction in the total power per phase, are required. Strategies like Field Oriented Control (FOC) and Direct Torque Control (DTC) have been traditionally used in these high performance applications. In this paper, a Predictive Torque Control (PTC) method is introduced...
Predictive direct torque control for a three-level neutral point clamped inverter is proposed. The main differences between standard direct torque control and the proposed approach are the flexibility and simple algorithm implementation, which does not require complex predefined switching tables nor logic to select among them, as standard direct torque control requires. The dynamic performance is...
Drives based on permanent magnet synchronous machines become more and more popular in many industrial applications. In most application traditional control algorithms are used leading to problems with the drive operation optimization. The paper presents a method of field weakening implementation in model based predictive control scheme.
This paper deals with a fast current control for a novel axial flux permanent magnet machine based on model predictive control. This machine, called flywheel enegy storage system, is controlled to function as a fast-response energy storage device. Fast acceleration or deceleration is required for fast storing and releasing energy respectively. Therefore model predictive control method, which can pre-calculate...
Producing the required magnitude and shape of reference current is necessary to achieve precise torque control in motor control applications. A deadbeat predictive current controller provides very good dynamic performance. In order to achieve very accurate reference current production the machine and inverter should be modeled properly with accurate parameters. Parameter changes, especially the back...
If a Predictive Torque Controller neglects the saliency of a machine the resulting prediction error contains the rotor angle information. A scheme to extract this information is derived in linear theory and extended for the nonlinear effects of a real reluctance synchronous machine. Measurement results confirm that this saliency based approach without signal injection is able to operate in the entire...
Multiphase electric drives have been recently proposed for applications where the highest overall system reliability and power distribution per phase are required. The propulsion drive of an Electric Vehicle (EV) is one of these applications. This paper deals with the use of a five-phase induction machine in the propulsion module of EVs, where the viability of a Predictive Torque Control method (PTC)...
This paper presents the digital implementation of torque and motion control of a Direct Current (DC) motor for direct-drive industrial robotic applications. The electromagnetic torque is controlled by using a predictive algorithm and the motion by using digital P-PI controllers in a cascaded structure. In this way, high-performance torque and position control can be achieved with the advantages of...
In this paper, the problem of tracking control for variable speed wind induction generator (IG) energy conversion system (WECS) is investigated using nonlinear predictive control. A rotor speed predictive control algorithm has been designed to control the angular speed of the machine in order to allow the WECS operate with maximum power extraction. The generator torque is estimated and injected into...
In this paper we successfully experimentally verify the recently introduced protective predictive controller patch for multi-mass drives subject to physical and safety constraints on their variables. The protective patch is obtained through set-theoretic computations that account for the drive model and constraints, as well as the state estimation uncertainties. It is used in combination with the...
In drive systems the most used control structure is the cascade control with an inner torque, i.e. current and an outer speed control loop. The fairly small converter switching frequency in high power applications, e.g. wind turbines lead to modest speed control performance. An improvement bring the use of a current controller which takes into account the discrete states of the inverter, e.g. DTC...
The brushless DC generator controlled by a predictive algorithm is considered in this paper. It is able to develop excellent performances such as minimum Joule losses and minimum torque ripple, at the same time. The tracking characteristic of the prime-mover is mandatory for setting the reference value of the electromagnetic torque developed by the generator, by means of which the switching pattern...
This work proposes an algorithm to control the torque of a switched reluctance machine (SRM). A 6/4 three phases SRM drive is controlled and simulated on PSCAD/EMTDC software. The machine is modeled using an analytical model that takes into consideration the non-linearity of the machine. The control is designed as a Model Predictive Control (MPC) using Discrete Space Vector Modulation (DSVM) with...
A predictive torque and flux control method for an induction machine fed by an indirect matrix converter is presented in this paper. The control scheme selects the switching state that minimizes the error in the torque and flux predictions according to their reference values and, at the same time, the control scheme is enhanced by including a reactive power minimization strategy with the goal to have...
A predictive Direct Torque Control method for Matrix Converters fed Permanent Magnet Synchronous Machines drives is proposed in this paper. The voltage vector from the Matrix Converter which ensures minimum torque ripple is selected based on a predictive algorithm. A look-up table for Direct Torque Control using Matrix Converters has been developed which delivers a set of three vectors, at every sample...
This paper presents a robust nonlinear generalized predictive control (RNGPC) strategy applied to a permanent magnet synchronous motor (PMSM) for speed trajectory tracking and disturbance rejection. The nonlinear predictive control law is derived by using a newly defined design cost function. The Taylor series expansion is used to carry out the prediction in a finite horizon. No information about...
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