Novel Speed Control technique for Permanent Split Capacitor Motors using direct power converter

2006 ◽  
Author(s):  
R. Vijayarajeswaran ◽  
S.P. Natarajan ◽  
K. Shanmugam ◽  
D. Suji Joan
Keyword(s):  
Speed Control ◽  
Power Converter ◽  
Control Technique ◽  
Direct Power ◽  
Split Capacitor

scholarly journals Zero Average Surface Controlled Boost-Flyback Converter

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 57
Author(s):  
Juan-Guillermo Muñoz ◽  
Fabiola Angulo ◽  
David Angulo-Garcia
Keyword(s):  
Duty Cycle ◽  
Period Doubling ◽  
Power Converter ◽  
Control Technique ◽  
Average Surface ◽  
Flyback Converter ◽  
Stable Period ◽  
Period 2 ◽  
Wide Range ◽  
The Right

The boost-flyback converter is a DC-DC step-up power converter with a wide range of technological applications. In this paper, we analyze the boost-flyback dynamics when controlled via a modified Zero-Average-Dynamics control technique, hereby named Zero-Average-Surface (ZAS). While using the ZAS strategy, it is possible to calculate the duty cycle at each PWM cycle that guarantees a desired stable period-1 solution, by forcing the system to evolve in such way that a function that is constructed with strategical combination of the states over the PWM period has a zero average. We show, by means of bifurcation diagrams, that the period-1 orbit coexists with a stable period-2 orbit with a saturated duty cycle. While using linear stability analysis, we demonstrate that the period-1 orbit is stable over a wide range of parameters and it loses stability at high gains and low loads via a period doubling bifurcation. Finally, we show that, under the right choice of parameters, the period-1 orbit controller with ZAS strategy satisfactorily rejects a wide range of disturbances.

scholarly journals Bounding the Output Error in a Buck Power Converter Using Perturbation Theory

2008 ◽  
Vol 2008 ◽  
pp. 1-20 ◽  
Author(s):  
Fabiola Angulo ◽  
Enric Fossas ◽  
Tere M. Seara ◽  
Gerard Olivar
Keyword(s):  
Perturbation Theory ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Dynamic Control ◽  
Power Converter ◽  
Control Technique ◽  
Order System ◽  
Sliding Surface ◽  
Output Error ◽  
Average Theory

We show the main results obtained when applying the average theory to Zero Average Dynamic control technique in a buck power converter with pulse-width modulation (PWM). In particular, we have obtained the bound values for output error and sliding surface. The PWM with centered and lateral pulse configurations were analyzed. The analytical results have confirmed the numerical and experimental results already obtained in previous publications. Moreover, through an important lemma, we have generalized the theory for any stable second-order system with relative degree 2, using properties related to transformations and stability of linear systems.

scholarly journals Real-Time Implementation of the MPPT Control Algorithms of a Wind Energy Conversion System by the Digital Simulator OPAL_RT

2021 ◽  
Vol 23 (1) ◽  
pp. 45-52
Author(s):  
El Oualid Zouggar ◽  
Souad Chaouch ◽  
Lilia Abdelhamid ◽  
Djaffar Ould Abdeslam
Keyword(s):  
Real Time ◽  
Speed Control ◽  
Maximum Energy ◽  
Maximum Power ◽  
Control Technique ◽  
Power Coefficient ◽  
Wind Energy Conversion ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper presents a comparative study between two algorithms for controlling the Wind Turbine (WT) using real time platforms: RT-Lab. The Maximum Power Point Tracking (MPPT) control technique is implemented for extracting the maximum energy from the wind. The first control consists in taking as a reference strategy the electromagnetic torque associated with the maximum power curve. This controller is known as Indirect Speed Control (ISC). The second one, based on the measured wind speed, is called Direct Speed Control (DSC). In this second controller, the effectiveness of the controllers was evaluated with a PI controller and a Fuzzy Logic (FL) controller. The performances are analyzed and compared on the OPAL-RT digital simulator, which is based on the RT-LAB platform with the model, and its control built in Simulink. The results of the simulations clearly show that algorithm based on fuzzy controllers gives better performance in terms of monitoring the maximum power coefficient and optimal speed compared to conventional algorithms.

scholarly journals Design of Adaptive Controller Exploiting Learning Concepts Applied to a BLDC-Based Drive System

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2512
Author(s):  
Pierpaolo Dini ◽  
Sergio Saponara
Keyword(s):  
Complexity Analysis ◽  
Signal Amplitude ◽  
Adaptive Controller ◽  
Power Converter ◽  
The State ◽  
Control Technique ◽  
State Representation ◽  
Servo Drive ◽  
Non Linear ◽  
Non Linear System

This work presents an innovative control architecture, which takes its ideas from the theory of adaptive control techniques and the theory of statistical learning at the same time. Taking inspiration from the architecture of a classical neural network with several hidden levels, the principle is to divide the architecture of the adaptive controller into three different levels. Each level implements an algorithm based on learning from data and therefore we can talk about learning concepts. Each level has a different task: the first to learn the required reference to the control loop; the second to learn the coefficients of the state representation of a model of the system to be controlled; and finally, the third to learn the coefficients of the state representation of the actual controller. The design of the control system is reported from both a rigorous and an operational point of view. As an application example, the proposed control technique is applied on a second-order non-linear system. We consider a servo-drive based on a brushless DC (BLDC) motor, whose dynamic model considers all the non-linear effects related to the electromechanical nature of the electric machine itself, and also an accurate model of the switching power converter. The reported example shows the capability of the control algorithm to ensure trajectory tracking while allowing for disturbance rejection with different disturbance signal amplitude. The implementation complexity analysis of the new controller is also proposed, showing its low overhead vs. basic control solutions.

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