scholarly journals RBF neural network based backstepping terminal sliding mode MPPT control technique for PV system

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249705
Author(s):  
Zain Ahmad Khan ◽  
Laiq Khan ◽  
Saghir Ahmad ◽  
Sidra Mumtaz ◽  
Muhammad Jafar ◽  
...  
Keyword(s):  
Neural Network ◽  
Finite Time ◽  
Sliding Mode ◽  
Maximum Power ◽  
Control Technique ◽  
Maximum Efficiency ◽  
Nonlinear Controller ◽  
Pv System ◽  
Terminal Sliding Mode ◽  
Controller Performance

The energy demand in the world has increased rapidly in the last few decades. This demand is arising the need for alternative energy resources. Solar energy is the most eminent energy resource which is completely free from pollution and fuel. However, the problem occurs when it comes to efficiency under different atmospheric conditions such as varying temperature and solar irradiance. To achieve its maximum efficiency, an algorithm of maximum power point tracking (MPPT) is needed to fetch maximum power from the photovoltaic (PV) system. In this article, a nonlinear backstepping terminal sliding mode control (BTSMC) is proposed for maximum power extraction. The system is finite-time stable and its stability is validated through the Lyapunov function. A DC-DC buck-boost converter is used to deliver PV power to the load. For the proposed controller, reference voltages are generated by a radial basis function neural network (RBF NN). The proposed controller performance is tested using the MATLAB/Simulink tool. Furthermore, the controller performance is compared with the perturb and observe (P&O) MPPT algorithm, Proportional Integral Derivative (PID) controller and backstepping MPPT nonlinear controller. The results validate that the proposed controller offers better tracking and fast convergence in finite time under rapidly varying conditions of the environment.

Robust impact angle constraints guidance law with autopilot lag and acceleration saturation consideration

2018 ◽  
Vol 41 (1) ◽  
pp. 182-192 ◽  
Author(s):  
Junhong Song ◽  
Shenmin Song
Keyword(s):  
Upper Bound ◽  
Finite Time ◽  
Sliding Mode ◽  
Three Dimensional ◽  
Impact Angle ◽  
Guidance System ◽  
Control Technique ◽  
Backstepping Method ◽  
Terminal Sliding Mode ◽  
Guidance Law

In this paper, for the three-dimensional terminal guidance problem of a missile intercepting a manoeuvring target, a robust continuous guidance law with impact angle constraints in the presence of both an acceleration saturation constraint and a second-order-lag autopilot is developed. First, based on non-singular fast terminal sliding mode and adaptive control, a step-by-step backstepping method is used to design the guidance law. In the process of guidance law design, with the use of a finite-time control technique, virtual control laws are developed, a tracking differentiator is used to eliminate the ‘explosion of complexity’ problem inherent in the traditional backstepping method, and an additional system is constructed to deal with the acceleration saturation problem; its states are used for guidance law design and stability analysis. Moreover, the target acceleration is considered bounded disturbance, but the upper bound is not required to be known in advance, whereas the upper bound is estimated online by a designed adaptive law. Next, finite-time stability of the guidance system is strictly proved by using a Lyapunov method. Finally, numerical simulations are presented to demonstrate the excellent guidance performances of the proposed guidance law in terms of accuracy and efficiency.

scholarly journals A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System

2018 ◽  
Vol 2018 ◽  
pp. 1-19
Author(s):  
Rostand Marc Douanla ◽  
Godpromesse Kenné ◽  
François Béceau Pelap ◽  
Armel Simo Fotso
Keyword(s):  
Neural Network ◽  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Control Technique ◽  
Nonlinear Controller ◽  
Parameter Uncertainties ◽  
Power Extraction ◽  
Mode Control ◽  
The Neural Network

A modified control scheme based on the combination of online trained neural network and sliding mode techniques is proposed to enhance maximum power extraction for a grid connected permanent magnet synchronous generator (PMSG) wind turbine system. The proposed control method does not need the knowledge of the uncertainty bounds nor the exact model of the nonlinear system. Since the neural network is trained online, the time to estimate good weights can affect the dynamic performance of the process during the startup phase. Therefore an appropriate way to smoothly and explicitly accelerate the neural network rate of convergence during the startup phase is proposed. Furthermore, a flexible grid side voltage source converter control structure which can handle both grid connected and standalone modes based on conventional proportional integral (PI) control method is presented. Simulations are done in Matlab/Simulink environment to verify the effectiveness and assess the performance of the proposed controller. The results analysis shows the superiority of the proposed RBF neuro-sliding mode controller compared to a nonlinear controller based on sliding mode control method when the system undergoes parameter uncertainties.

Design and Analysis of Non-linear Controller for a Standalone PV System using Lyapunov Stability Theory

2021 ◽  
pp. 1-22
Author(s):  
Narendra Kumar ◽  
Aman Sharma
Keyword(s):  
Lyapunov Stability ◽  
Stability Theory ◽  
Sliding Mode ◽  
Equilibrium Points ◽  
Lyapunov Stability Theory ◽  
Maximum Power ◽  
Hill Climbing ◽  
Sliding Mode Controller ◽  
Nonlinear Controller ◽  
Pv System

Abstract This paper presents Lyapunov Stability Theory based Nonlinear Controller Design for a Standalone PV System. The comparative analysis of different nonlinear controllers is also carried out . Due to the nonlinear characteristics of photovoltaic systems, conventional Hill-Climbing methods like Perturbate and Observe and Incremental Conductance do not show reliable tracking of Maximum Power under various uncertainties. Therefore, these methods require nonlinear tools to meet the control objectives and design specifications. Out of various nonlinear controlling techniques, the one presented in this paper is the Sliding Mode Approach for Maximum Power Point Tracking (MPPT). In context of Lyapunov Stability Theory, sliding mode approach uses a switching manifold. In this approach, the system trajectories are made to follow the sliding surface and to remain there forever to ensure the stability of equilibrium points. Two types of Sliding Mode controllers have been simulated namely Conventional - Sliding Mode Controller (CSMC) and Terminal - Sliding Mode Controller (TSMC). The results are analyzed and compared scientifically on various performance parameters including, duty cycle ratio, ideal and PV output power and time taken for error convergence, under varying dynamic conditions. All the control algorithms are developed in MATLAB/Simulink.

Disturbance observer and finite-time tracker design of disturbed third-order nonholonomic systems using terminal sliding mode

2016 ◽  
Vol 23 (2) ◽  
pp. 181-189 ◽  
Author(s):  
Saleh Mobayen ◽  
Shamsi Javadi
Keyword(s):  
Finite Time ◽  
Tracking Control ◽  
Disturbance Observer ◽  
Sliding Mode ◽  
Approximation Error ◽  
Nonholonomic Systems ◽  
Control Technique ◽  
Third Order ◽  
Terminal Sliding Mode ◽  
Finite Time Convergence

This paper proposes a novel recursive terminal sliding mode structure for tracking control of third-order chained–form nonholonomic systems in the presence of the unknown external disturbances. Finite-time convergence of the disturbance approximation error is guaranteed using the designed disturbance observer. Under the proposed terminal sliding model tracking control technique, the finite-time convergence of the states of the closed-loop system is guaranteed via Lyapunov analysis. A new reaching control law is proposed to guarantee the existence of the sliding mode around the recursive TSM surface in a finite-time. Simulation results are illustrated on a benchmark example of third-order chained-form nonholonomic systems: a wheeled mobile robot. The results demonstrate that the proposed control technique achieves promising tracking performance for nonholonomic systems.

Position control for permanent magnet synchronous motor based on neural network and terminal sliding mode control

2020 ◽  
Vol 42 (9) ◽  
pp. 1632-1640
Author(s):  
Wenwu Zhu ◽  
Dongbo Chen ◽  
Haibo Du ◽  
Xiangyu Wang
Keyword(s):  
Neural Network ◽  
Permanent Magnet ◽  
Finite Time ◽  
Position Control ◽  
Control Method ◽  
Sliding Mode ◽  
Rbf Neural Network ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Terminal Sliding Mode

A finite-time control strategy is proposed to solve the problem of position tracking control for a permanent magnet synchronous motor servo system. It can guarantee that the motor’s desired position can be tracked in a finite time. Firstly, for the d-axis voltage, a first-order finite-time controller is designed based on the vector control principle. Then, for the q-axis voltage, based on a radial basis function (RBF) neural network, an integral high-order terminal sliding mode controller is designed. Theoretical analysis shows that under the proposed controller, the desired position can be tracked by the motor position in a finite time. Simulation results are given to show that the proposed control method has a strong anti-disturbance ability and a fast convergence performance.

scholarly journals Design and Implementation of Finite Time Nonsingular Fast Terminal Sliding Mode Control for a Novel High Step-Up DC-DC Converter

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1716
Author(s):  
Yicheng Liu ◽  
Jieping Wang ◽  
Haiyan Tu
Keyword(s):  
Finite Time ◽  
Sliding Mode ◽  
Boost Converter ◽  
Maximum Efficiency ◽  
Storage Capacitor ◽  
System Response ◽  
Terminal Sliding Mode ◽  
Voltage Multiplier ◽  
Fast Terminal Sliding Mode ◽  
Resonant Inductor

In this paper, a new, high step-up quadratic boost converter with high conversion efficiency is discussed. A storage capacitor and resonant inductor are connected in series with a clamp capacitor through a diode. These compose a voltage multiplier cell, which is applied on the switch of the quadratic boost converter. The clamp capacitor can protect the switch from a voltage spike and absorb energy when the switch turns off; then, the storage capacitor and resonant inductor are charged by the energy stored in the clamped capacitor to increase the voltage transfer gain. In addition, the voltage multiplier cell can also reduce the voltage stresses of power devices. Then, a 16 V input, 200 V output prototype with 80 W nominal power is built up and tested. Furthermore, a finite time fast terminal sliding mode (NFTSM) control is proposed, with constant frequency for the voltageFundamental Building B213:tracking control of this converter. The new NFTSM is obtained by introducing an adjustable nonlinear term into fast terminal sliding mode (FTSM) control, and a singularity problem is avoided. The experiment illustrates that the maximum efficiency of the proposed converter achieves 95% at D = 0.25 , V o = 150 V. The voltage stress is reduced to half of the corresponding component of the basic boost converter at the same voltage level. Moreover, the proposed NFTSM controller can track the reference signal, and provide a short settling time of about 48 ms with no overshoot, and the system response exhibits strong robustness against 11.7% input voltage disturbance and 30% load variation.

scholarly journals Backstepping Terminal Sliding Mode MPPT Controller for Photovoltaic Systems

2021 ◽  
Vol 11 (2) ◽  
pp. 7060-7067
Author(s):  
K. Behih ◽  
H. Attoui
Keyword(s):  
Sliding Mode ◽  
Tracking Error ◽  
Boost Converter ◽  
Maximum Power ◽  
Solar Array ◽  
Atmospheric Conditions ◽  
Pv System ◽  
Terminal Sliding Mode ◽  
Point Tracking ◽  
Mppt Controller

In this paper, a new Maximum Power Point Tracking (MPPT) control for a Photovoltaic (PV) system is developed based on both backstepping and terminal sliding mode approaches. This system is composed of a solar array, a DC/DC boost converter, an MPPT controller, and an output load. The Backstepping Terminal Sliding Mode Controller (BTSMC) is used via a DC-DC boost converter to achieve maximum power output. The stability of the closed-loop system is guaranteed using the Lyapunov method. This novel approach provides good transient response, low tracking error, and very fast reaction against solar radiation and PV cell temperature variations. Furthermore, chattering, which constitutes the main disadvantage of the classic sliding mode technique is eliminated. To show the effectiveness and robustness of the proposed control, different simulations under different atmospheric conditions are conducted in Matlab/Simulink.

scholarly journals Nonsingular Terminal Sliding Mode Control Based on Adaptive Barrier Function for nth-Order Perturbed Nonlinear Systems

Mathematics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 43
Author(s):  
Khalid A. Alattas ◽  
Javad Mostafaee ◽  
Abdullah K. Alanazi ◽  
Saleh Mobayen ◽  
Mai The Vu ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Chaotic System ◽  
Finite Time ◽  
Barrier Function ◽  
Sliding Mode ◽  
Control Technique ◽  
Control Procedure ◽  
Terminal Sliding Mode Control ◽  
Terminal Sliding Mode ◽  
Mode Control

In this study, an adaptive nonsingular finite time control technique based on a barrier function terminal sliding mode controller is proposed for the robust stability of nth-order nonlinear dynamic systems with external disturbances. The barrier function adaptive terminal sliding mode control makes the convergence of tracking errors to a region near zero in the finite time. Moreover, the suggested method does not need the information of upper bounds of perturbations which are commonly applied to the sliding mode control procedure. The Lyapunov stability analysis proves that the errors converge to the determined region. Last of all, simulations and experimental results on a complex new chaotic system with a high Kaplan–Yorke dimension are provided to confirm the efficacy of the planned method. The results demonstrate that the suggested controller has a stronger tracking than the adaptive controller and the results are satisfactory with the application of the controller based on chaotic synchronization on the chaotic system.

A nonlinear observer-based adaptive robust control approach for a class of uncertain asymmetric hysteretic systems

2020 ◽  
pp. 095965182094864
Author(s):  
Yangming Zhang ◽  
Lingyun Xue ◽  
Biao Luo
Keyword(s):  
Robust Control ◽  
Finite Time ◽  
Vibration Isolation ◽  
Sliding Mode ◽  
Fractional Power ◽  
Adaptive Robust Control ◽  
Nonlinear Observer ◽  
Control Technique ◽  
Terminal Sliding Mode ◽  
Hysteretic Systems

This article presents a robust control scheme for a class of asymmetric hysteretic systems with both parametric uncertainties and external disturbances, where an asymmetric Bouc–Wen model is adopted to represent the hysteretic behavior. A novel adaptive non-singular terminal sliding mode control methodology with hysteretic state estimation is proposed to achieve finite-time stabilization of such systems for vibration suppressions. In the proposed control framework, a hysteresis observer is constructed to capture the unmeasurable hysteretic force, and the adaptive control technique is used to accommodate the hysteretic uncertainties and unknown system parameters. Moreover, a fast terminal sliding mode controller without the singularity problem is designed to improve the robustness and dynamic performance of such systems, where the terminal sliding mode function is proposed to guarantee the finite-time convergence of the system states, and the reaching law with fractional power is constructed to accelerate the occurrence of the corresponding terminal sliding mode surface. Meanwhile, the finite-time stability of the whole closed-loop system is also analyzed. Finally, numerical simulation results deployed on a magnetorheological elastomer vibration isolation system are provided to validate the effectiveness of the proposed control algorithm.

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