A Study on the Sine Reference Tracking State Feedback Current Controller for the Grid-connected Inverter using the Pole Placement Technique

AbstractDistributed generators are playing a vital role in supporting the grid in ever-increasing energy demands. Grid code regulation must be followed when integrating the photovoltaic inverter system to the grid. The paper investigates and analyzes a controller model for grid-connected PV inverters to inject sinusoidal current to the grid with minimum distortion. To achieve better tracking and disturbance rejection, a DSP-based current controller is designed with LCL filter. The controller gets the current feedback from the grid, compares it with reference current, and calculates duty cycle to generate PWM pulses to trigger H-bridge converters. The grid voltage is loaded to the initial value in proposed PR controller to ensure the initial inverter voltage to match the grid voltage. The paper presents a novel current controller algorithm for grid-connected inverter system, and simulation is done. A detailed analysis has been carried out to validate the proposed design algorithm. Experimental implementation of the current controller in the DC/AC converter circuits with an LCL filter is done for 5.4 kW to validate and match the simulation model.

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Performance Improvement of SVPWM-Based Three-Phase Grid-Connected Inverters

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.732-733.1261 ◽

2013 ◽

Vol 732-733 ◽

pp. 1261-1264

Author(s):

Zhi Lei Yao ◽

Lan Xiao ◽

Jing Xu

Keyword(s):

Dynamic Response ◽

Control Strategy ◽

Pulse Width Modulation ◽

Control Method ◽

Grid Current ◽

Current Controller ◽

Three Phase ◽

Reference Grid ◽

Grid Connected Inverter

An improved control strategy for three-phase grid-connected inverters with space vector pulse width modulation (SVPWM) is proposed. When the grid current contains harmonics, the d-and q-axes grid currents is interacted in the traditional control method, and the waveform quality of the grid current is poor. As the reference output voltage cannot directly reflect the change of the reference grid current with the traditional control strategy, the dynamic response of the grid-connected inverter is slow. In order to solve the aforementioned problems, the d-and q-axes grid currents in the decoupled components of the grid current controller are substituted by the d-and q-axes reference grid currents, respectively. The operating principles of the traditional and proposed control methods are illustrated. Experimental results show that the grid-connected inverter with the improved control strategy has high waveform quality of the grid current and fast dynamic response.

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Anℋ∞Optimal Robust Pole Placement with Fixed Transparent Controller Structure on the Basis of Nonnegativity of Even Spectral Polynomials

Mathematical Problems in Engineering ◽

10.1155/2012/735245 ◽

2012 ◽

Vol 2012 ◽

pp. 1-25 ◽

Cited By ~ 2

Author(s):

Andrej Sarjaš ◽

Rajko Svečko ◽

Amor Chowdhury

Keyword(s):

Controller Design ◽

Polynomial Equation ◽

Pole Placement ◽

Robust Controller ◽

Reference Tracking ◽

Common Criteria ◽

Sensitivity Problem ◽

The Common ◽

Partial Fraction Decomposition ◽

Iterative Evolution

This paper presents the synthesis of an optimal robust controller with the use of pole placement technique. The presented method includes solving a polynomial equation on the basis of the chosen fixed characteristic polynomial and introduced parametric solutions with a known parametric structure of the controller. Robustness criteria in an unstructured uncertainty description with metrics of normℋ∞are for a more reliable and effective formulation of objective functions for optimization presented in the form of a spectral polynomial with positivity conditions. The method enables robust low-order controller design by using plant simplification with partial-fraction decomposition, where the simplification remainder is added to the performance weight. The controller structure is assembled of well-known parts such as disturbance rejection, and reference tracking. The approach also allows the possibility of multiobjective optimization of robust criteria, application of mixed sensitivity problem, and other closed-loop limitation criteria, where the common criteria function can be composed from different unrelated criteria. Optimization and controller design are performed with iterative evolution algorithm.

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Pole Placement Based State Feedback for DC Motor Position Control

Journal of Physics Conference Series ◽

10.1088/1742-6596/1783/1/012057 ◽

2021 ◽

Vol 1783 ◽

pp. 012057

Author(s):

Iswanto ◽

Nia Maharani Raharja ◽

Alfian Ma’arif ◽

Yogi Ramadhan ◽

Phisca Aditya Rosyady

Keyword(s):

State Feedback ◽

Position Control ◽

Dc Motor ◽

Pole Placement

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Development of a fuzzy-state feedback regulator for stabilizing a flexible inverted pendulum system

Journal of Vibration and Control ◽

10.1177/10775463211042967 ◽

2021 ◽

pp. 107754632110429

Author(s):

Pouriya Pourgholam ◽

Hamid Moeenfard

Keyword(s):

Fuzzy System ◽

State Feedback ◽

Equations Of Motion ◽

Pole Placement ◽

Pendulum System ◽

Inverted Pendulum System ◽

Reduced Order Observer ◽

Pole Placement Control ◽

Fuzzy State

Accurate modeling and efficient control of inverted pendulums have always been a challenge for researchers. So, the current research aims to achieve the following objectives: (I) proposing a comprehensive dynamic model for the inverted pendulums which accounts for the flexibility of the pendulum bar and (II) suggesting an appropriate supervisory fuzzy-pole placement control strategy for stabilizing the pendulum system. Using a Lagrangian formulation, the equations of motion are derived and linearized. Then, a state feedback controller with a reduced-order observer is designed to stabilize the system. Closed-loop simulations reveal that at least six modes shall be considered in the dynamic equations. To improve the quality of the transient response, a novel fuzzy system is developed for real-time assignment of the controller poles. Simulation results demonstrate that the control quality is significantly improved by adding a supervisory fuzzy system to the control loop. The developed approach for dynamic modeling of the system, and the idea of multi-level fuzzy-pole placement control architecture developed in this paper, may be successfully applied to improve the response specifications in other dynamic systems.

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DQ Transform Based Current Controller for Single-Phase Grid Connected Inverter

2018 2nd International Conference On Electrical Engineering (EECon) ◽

10.1109/eecon.2018.8541004 ◽

2018 ◽

Cited By ~ 2

Author(s):

Imanka Jayathilaka ◽

Lushan Lakpriya ◽

Damith De Alwis ◽

Gayeshi Jayakody ◽

K.T.M.U. Hemapala ◽

...

Keyword(s):

Single Phase ◽

Current Controller ◽

Grid Connected Inverter

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DESIGN OF ROBUST STATE FEEDBACK CONTROLLERS FOR REHABILITATION IN PARKINSONS TREMOR: A SIMULATION STUDY WITH UNCERTAIN MODEL OF BASAL GANGLIA

Biomedical Engineering Applications Basis and Communications ◽

10.4015/s1016237216500265 ◽

2016 ◽

Vol 28 (04) ◽

pp. 1650026

Author(s):

K. Rouhollahi ◽

M. Emadi Andani ◽

S. M. Karbassi ◽

M. Mojiri

Keyword(s):

Basal Ganglia ◽

State Feedback ◽

Health Condition ◽

Open Loop ◽

The Other ◽

Pole Placement ◽

Neurosurgical Procedures ◽

Loop Control ◽

Disease Condition ◽

Loop Control System

Deep brain stimulation (DBS) is one of the most effective neurosurgical procedures to reduce Parkinsons tremor. The conventional method of DBS is open loop stimulation of one area of basal ganglia (BG). On the other hand, existing feedback causes the reduction of additional stimulatory signal delivered to the brain which results in the reduction of the side effects caused by the excessive stimulation intensity. Actually, the stimulatory intensity of the controllers is reduced proportionally by the reduction of hands tremor, which is in fact the intended rehabilitation of the disease. The meaningful objective of this study is to design an architecture of controllers to decrease three criteria. The first one is the hand’s tremor, the second one is the level of delivered stimulation signal to brain in disease condition and the third one is the ratio of the level of delivered stimulation signal in health condition to disease condition. In order to achieve these objectives, a new architecture of a closed loop control system to stimulate two areas of BG at the same time is presented. One area (STN: subthalamic nucleus) is stimulated with a state feedback (SF) controller (pole placement method) and the other area (GPi: globus pallidus internal) is stimulated with a partial state feedback controller (PSFC). Considering these criteria, the results illustrate that stimulating two areas leads to a suitable performance. Simulation results show that the PSF and SF controllers are robust enough to the variations of the system parameters. Moreover, we are able to estimate the parameters of BG model in real time; it is a valuable method to update the time variable parameters of this model.

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SET POINT TRACKING CONTROL OF A REMOTELY OPERATED VEHICLE USING MODEL PREDICTIVE CONTROL

The International Journal of Maritime Engineering ◽

10.5750/ijme.v162ia1.1124 ◽

2021 ◽

Vol 162 (A1) ◽

Author(s):

M P R Prasad

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Vehicle Dynamics ◽

Tracking Control ◽

Sliding Mode ◽

Pole Placement ◽

Control Technique ◽

Remotely Operated Vehicle ◽

Point Tracking ◽

Placement Technique

This paper considers kinematics and dynamics of Remotely Operated Underwater Vehicle (ROV) to control position, orientation and velocity of the vehicle. Cascade control technique has been applied in this paper. The pole placement technique is used in inner loop of kinematics to stabilize the vehicle motions. Model Predictive control is proposed and applied in outer loop of vehicle dynamics to maintain position and velocity trajectories of ROV. Simulation results carried out on ROV shows the good performance and stability are achieved by using MPC algorithm, whereas sliding mode control loses its stability when ocean currents are high. Implementation of proposed MPC algorithm and stabilization of vehicle motions is the main contribution in this paper.

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