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Multilevel converters are widely used in medium voltage applications. One of the most popular topologies in this field is the 18 pulses diode rectifier, which uses a mu Iti pu I so transformer that realizes a current harmonics cancelation that are generated by the three phase diode rectifiers. In this work an efficiency comparison of the aforementioned topology and a Multi-Cell Active-Front-End (AFE)...
An analytic model predictive control method is proposed to deal with a class of bounded uncertain nonlinear systems. Firstly, it can be redefined as the nominal system with uncertain model form, and the optimal control law with uncertainties is obtained. Derivation shows that the obtained control law is bounded and the analytic model predictive control that eliminates uncertainties is then able to...
This paper presents a reactive power compensation technique using model predictive control (MPC) of a matrix converter. This technique compensates lagging power factor loads using inductive energy storage elements instead of electrolytic capacitors (e-caps). Although ubiquitous in power electronic converters, e-caps have well-known failure modes and wear-out mechanisms. Therefore, the capacitors used...
This paper proposes a method for adaptive identification and predictive control using an online sequential extreme learning machine based on the recursive partial least-squares method (OS-ELM-RPLS). OL-ELM-RPLS is an improvement to the online sequential extreme learning machine based on recursive least-squares (OS-ELM-RLS) introduced in [1]. Like in the batch extreme learning machine (ELM), in OS-ELM-RLS...
A simple and robust multi-objective predictive control method that incorporates four main control objectives applied to a single-phase three-level neutral-point-clamped (NPC) converter operating as an active power filter (APF) is proposed in this paper. The four control objectives are: to self-support the dc-bus voltage under load variations, to compensate the reactive power and the current harmonics...
This work proposes a new control scheme for electrical drives system, named cascaded predictive speed control (PSC). The strategy seeks to maintain the simplicity of the classic predictive control while excluding linear or other controllers. The control strategy has a cascade architecture, similar to the techniques of classical control (FOC or DTC). The outer loop controls the speed of the machine,...
Direct matrix Converter is considered as a powerful tool for AC/AC power conversion providing AC output voltage and frequency control It also has many features such as a bidirectional power flow, a compact size and a direct conversion capability In this paper, matrix converter is used to convert a five phase input voltage into three phase output voltage with controlling output current amplitude and...
Finite control set model predictive control (FS-MPC) has been shown to be a very effective approach to control of PMSM drives. FS-MPC is a very flexible tool since it can evaluate an arbitrary loss function. However, design of the appropriate loss function for the problem can be a challenge especially when the design input is visible only on the long horizon. An example where this problem becomes...
Model predictive control algorithms have recently gained more importance in the field of power electronics and motor drives. One of the important categories of model predictive control methods is improved deadbeat control in which the reverse system model is used to calculate the appropriate inputs for the next iteration of controlling process. In this paper, a new improved deadbeat algorithm is proposed...
A novel Maximum Power Point Tracking Technique (MPPT) based on Fixed Frequency Model Predictive Control (FFMPC) for Photovoltaic (PV) is developed through this paper. The Proposed control system consists of two-stage. The first stage is a Modified Incremental Conductance (MIC) algorithm and the second stage is FFMPC. The proposed control system has some inherent features such as fast MP tracking under...
This paper presents a novel algorithm to eliminate d-q axis static current error of PMSM predictive current control when the model in predictive controller has parameter mismatch with real system. The relationship between current error and parameter mismatch is analyzed numerically, and the static current error is eliminated by introducing current error integration in d-axis current control while...
This paper studies the nonlinear model predictive control problem (MPC) for networked control system (NCS) with delays in both channels. To compensate for the delays and reduce the computation, we first transform the NCS with delays into a non-delay system. Moreover, an explicit feedback control strategy is applied to provide a possible implementation for package lost and the delays. To avoid the...
This paper addresses the event-triggered predictive control problem for networked control systems (NCSs). First, we propose a discrete event-triggered transmission scheme on the sensor node by introducing a quadratic function. Then, based on the above scheme, a novel class of event-triggered predictive control algorithms on the controller node are designed for compensating for the communication delays...
The flexibility of transmission mechanisms in two-mass servo system can lead to its mechanical resonance. If the oscillation amplitude is beyond the shaft tolerance, it will lead to system insecurity problems. In this paper, the model of transmission mechanisms is firstly established, and based on that, four strategies: engineering design, pole placement method, shaft torque state feedback method...
Networked control systems (NCSs) have been receiving much attention in the field of remote robot operation, surgery and some operations. In the NCSs, data needs to be quantized since it is transmitted over a limited network channel. In earlier works, we considered an NCS with a variable discrete quantizer. In the system, both input and a parameter of the quantizer are optimized online with the help...
This paper studies the observer-based event-triggered predictive control problem for networked control systems (NCSs). First, we propose a discrete event-triggered transmission scheme for the observer by introducing a quadratic event-triggering function. Then, based on the above scheme, a novel class of event-triggered predictive control algorithms on the controller node are designed for compensating...
Current source converters (CSC) are used in AC-Drives and Electrochemical applications requiring large and controlled currents. Usually, a controller/modulating block using pulse width modulation is employed to provide current control. Although, several works describing predictive controllers have been presented for both two-level and multilevel voltage source converters. Only a few report predictive...
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