Nonlinear control for MPPT and UPF of PV system connected to the grid

This paper intends to design an integral backstepping Lyapunov redesign controller (IBLRC) for various uncertain strict‐feedback‐form nonlinear systems. The pros and cons of backstepping Lyapunov redesign resulted in the design idea. An integral term is incorporated in conventional backstepping with Lyapunov redesign to indirectly decrease chattering and steady‐state error of a reference signal tracking when unknown static parameters and matched and unmatched dynamic uncertainties exist. The closed‐loop system is mathematically confirmed as stable in a Lyapunov frame, and we ultimately reach uniformly semi‐global boundedness of all signals. Simulation results of the proposed IBLRC are juxtaposed with those of the classic backstepping with the Lyapunov redesign. The proposed IBLRC realizes excellent tracking and enhanced robust performance than the BLRC for time‐varying and step tracking references.

show abstract

“…[15]. This hybrid method improves the robustness of the backstepping control method against external uncertainties and disturbances [16].…”

Section: Introductionmentioning

confidence: 99%

Integral backstepping Lyapunov redesign control of uncertain nonlinear systems

Jalalabadi

Paylakhi

Rahimi-Kian

et al. 2021

IET Control Theory & Appl

View full text Add to dashboard Cite

show abstract

“…Among these parameters we quote: the type of converters used, the command by which this converter was controlled, and the way of connection between all the devices of the PV system. In [1]- [2], The PV system is made up of a PV generator, two static converters and an electrical grid (figure 1).…”

Section: Introductionmentioning

confidence: 99%

Integral Backstepping Control of Three phase Grid Connected Photovoltaic Systems for Power Optimization

Skik*¹,

Abbou²

2020

IJITEE

Self Cite

View full text Add to dashboard Cite

We propose in this paper a nonlinear controller to optimize the operation of a photovoltaic device consisting of a PV generator, a three-phase inverter, and an LCL filter. Unlike traditional systems, this system is reliable and is not expensive, thanks to the absence of the DC-DC converter. In reality, we are trying to achieve two goals: (i) Search track and extract the maximum power from the PV generator (MPPT requirement); (ii) Inject this power into the network in the form of an alternating current which has the same pulsation as that of the network (UPF requirement). To achieve these objectives, the proposed controller was designed using non-linear design techniques, based on the nonlinear modeling of the photovoltaic system. Numerical simulation and its results showed the performance of the nonlinear controller and its ability to confront the challenges described in this article (MPP and UPF requirement), external disturbances and abrupt climatic changes.

show abstract

“…The major requirements of SRM motor drive states better dynamic and steady state response, robustness and low torque ripples. At present proportional, integral, derivative controller is being widely used in many applications 11,12 . In recent intelligent neuro techniques are being proposed to deliver better performance and responds to system behavior 13 .…”

Section: Introductionmentioning

confidence: 99%

Investigation on Solar PV generation and design of switched reluctance motor for Smart Agriculture actuation system

Muniraj¹,

Arulmozhiyal²

2018

Braz. arch. biol. technol.

View full text Add to dashboard Cite

This paper presents standalone solar photovoltaic (PV) powered fed actuation system employing a switched reluctance motor (SRM) particularly used in remote and rural areas. The converter efficiency is achieved by changing ON and OFF state of solar PV drive. An electronic commutation drives SRM drive with achieved by position hall sensor and encoder. The modified boost converter is proposed in single stage to conversion of PV fed power and inverter with reduced switching losses. Further proposed system is designed to reduce cost of system using simple design and control. This paper also proposes the speed control strategy of SRM motor with an artificial intelligent based Adaptive neuro fuzzy inference (ANFIS) system to achieve desired motor velocity as stated in reference velocity in farm lands. The system proposed is subjected to analysis the performance of drive and controller in both load and no-load conditions. Initially, a simulation model is modeled in MATLAB-SIMULINK with corresponding environments. The experimental setup for proposed system is developed using FPGA based SPEEDGOAT real time target machine. The simulation and hardware results suggest feasibility of proposed system in real time.

show abstract

Nonlinear control for MPPT and UPF of PV system connected to the grid

Cited by 9 publications

References 14 publications

Integral backstepping Lyapunov redesign control of uncertain nonlinear systems

Integral backstepping Lyapunov redesign control of uncertain nonlinear systems

Integral Backstepping Control of Three phase Grid Connected Photovoltaic Systems for Power Optimization

Investigation on Solar PV generation and design of switched reluctance motor for Smart Agriculture actuation system

Contact Info

Product

Resources

About