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This paper investigates the application of a novel Model Predictive Control struc- ture for the drive system with an induction motor. The proposed controller has a cascade-free structure that consists of a vector of electromagnetics (torque, flux) and mechanical (speed) states of the system. The long-horizon version of the MPC is investigated in the paper. In order to reduce the computational complexity...
In this work is presented predictive speed controller for induction motor. It is proposed to divide the control process into two parts: coarse adjustment and regulation in the area of steady state. This allows to reduce the pulsations in obtained waveforms in steady state.
In the paper issues related to the application of the moving horizon estimation (MHE) method to state variable reconstruction of the drive system with a flexible connection are described. In the introduction the motivation of the work is presented briefly. Then the mathematical model of the drive is discussed. The MHE algorithm is described in detail. Next the considered estimator is tested under...
In the paper, a model predictive controller (MPC) for the position control for an induction motor drive with an elastic connection is presented. The control methodology enables the drive's safety and physical limitations to be directly incorporated into control synthesis. The effect of the predictive horizon on the drive performance is examined. The theoretical consideration are supported by experimental...
In the paper issues related to the design of a robust adaptive fuzzy estimator for a drive system with a flexible joint is presented. The proposed estimator ensures variable Kalman gain (based on the Mahalanobis distance) as well as the estimation of the system parameters (based on the fuzzy system). The obtained value of the time constant of the load machine is used to change the values in the system...
In this paper, the application of model predictive control for speed and vibration control of dual-mass electrical drive systems with permanent magnet synchronous motors (PMSM) is presented. The control methodology proposed here relies on incorporating the drives safety and physical limitations directly into the control problem formulation so that future constraint violations are anticipated and prevented...
In this paper, a model predictive controller (MPC) for the speed control for an electrical drive with elastic connection is presented. The control methodology enables the drive's safety and physical limitations to be directly incorporated into control synthesis. The methodology for robust design based on the suitable selection of the system matrices of the MPC is presented. The simulation results...
This paper investigates the effectiveness of Model Predictive Control (MPC) in dealing with torsional vibrations in a two-mass elastic drive system under parameter variation. The methodology for robust design based on the optimalization of the system matrices of the MPC cost function is presented. Selected experimental results confirm that the proposed MPC speed controller is very effective in dealing...
This paper presents a design methodology for optimal position control in electrical drives with mechanical elasticity subject to safety and physical constraints on torque and speed variables. The control problem is formulated within the framework of model predictive control (MPC) which ensures that the drive's operational limitations are directly accounted for in the control problem formulation so...
This paper investigates the effectiveness of Model Predictive Control (MPC) in dealing with torsional vibrations and torque constraints in a two-mass elastic drive system under plant uncertainty and parameter variation. The methodology for designing low complexity MPC controllers for speed regulation and vibration suppression is discussed and validated on a real two-mass drive system. Selected experimental...
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