scholarly journals Sliding Mode Based Control of Dual Boost Inverter for Grid Connection

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4241 ◽  
Author(s):  
Diana Lopez-Caiza ◽  
Freddy Flores-Bahamonde ◽  
Samir Kouro ◽  
Victor Santana ◽  
Nicolás Müller ◽  
...  
Keyword(s):  
Control Method ◽  
Controller Design ◽  
Sliding Mode ◽  
Current Control ◽  
Voltage Step ◽  
Control Loops ◽  
Voltage Ratio ◽  
Grid Connection ◽  
Resonant Controller ◽  
Laboratory Prototype

Single-stage voltage step-up inverters, such as the Dual Boost Inverter (DBI), have a large operating range imposed by the high step-up voltage ratio, which together with the converter of non-linearities, makes them a challenge to control. This is particularly the case for grid-connected applications, where several cascaded and independent control loops are necessary for each converter of the DBI. This paper presents a global current control method based on a combination of a linear proportional resonant controller and a non-linear sliding mode controller that simplifies the controller design and implementation. The proposed control method is validated using a grid-connected laboratory prototype. Experimental results show the correct performance of the controller and compliance with power quality standards.

scholarly journals Adaptive Robust Controller Design-Based RBF Neural Network for Aerial Robot Arm Model

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 831
Author(s):  
Izzat Al-Darraji ◽  
Dimitrios Piromalis ◽  
Ayad A. Kakei ◽  
Fazal Qudus Khan ◽  
Milos Stojemnovic ◽  
...  
Keyword(s):  
Neural Network ◽  
Controller Design ◽  
Sliding Mode ◽  
Rbf Neural Network ◽  
Robot Arm ◽  
Robust Controller ◽  
Practical Applications ◽  
Control Loops ◽  
Modeling Errors ◽  
Aerial Robot

Aerial Robot Arms (ARAs) enable aerial drones to interact and influence objects in various environments. Traditional ARA controllers need the availability of a high-precision model to avoid high control chattering. Furthermore, in practical applications of aerial object manipulation, the payloads that ARAs can handle vary, depending on the nature of the task. The high uncertainties due to modeling errors and an unknown payload are inversely proportional to the stability of ARAs. To address the issue of stability, a new adaptive robust controller, based on the Radial Basis Function (RBF) neural network, is proposed. A three-tier approach is also followed. Firstly, a detailed new model for the ARA is derived using the Lagrange–d'Alembert principle. Secondly, an adaptive robust controller, based on a sliding mode, is designed to manipulate the problem of uncertainties, including modeling errors. Last, a higher stability controller, based on the RBF neural network, is implemented with the adaptive robust controller to stabilize the ARAs, avoiding modeling errors and unknown payload issues. The novelty of the proposed design is that it takes into account high nonlinearities, coupling control loops, high modeling errors, and disturbances due to payloads and environmental conditions. The model was evaluated by the simulation of a case study that includes the two proposed controllers and ARA trajectory tracking. The simulation results show the validation and notability of the presented control algorithm.

scholarly journals Current Regulator Design for Dual Y Shift 30 Degrees Permanent Magnet Synchronous Motor

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 777
Author(s):  
Zhihong Wu ◽  
Weisong Gu ◽  
Yuan Zhu ◽  
Ke Lu ◽  
Li Chen ◽  
...  
Keyword(s):  
Permanent Magnet ◽  
Pulse Width Modulation ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Current Control ◽  
Parameter Uncertainties ◽  
Control Loops ◽  
Decomposition Space ◽  
Harmonic Currents

This paper gives the current regulator design for a dual Y shift 30 degrees permanent magnet synchronous motor (DT_PMSM) based on the vector space decomposition (VSD). Current regulator design in α-β subspace is insufficient and designing additional controllers in x-y subspace is necessary to eliminate the harmonic currents due to the nonlinear characteristics of the inverter. A sliding mode controller based on an internal model is proposed in α-β subspace, which is robust to the parameter uncertainties and disturbances in current control loops. In order to eliminate the harmonic currents in x-y subspace, a resonant controller is employed based on a new synchronous rotating matrix. Three-phase decomposition space vector pulse width modulation (SVPWM) technique is illustrated for the purpose of synthesizing the voltage vectors in both subspaces simultaneously. The feasibility and efficiency of the suggested current regulator design are validated by a set of experimental results.

scholarly journals Quantized Feedback Control of Active Suspension Systems Based on Event Trigger

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jinwei Sun ◽  
Jingyu Cong ◽  
Weihua Zhao ◽  
Yonghui Zhang
Keyword(s):  
Feedback Control ◽  
Control Method ◽  
Controller Design ◽  
Sliding Mode ◽  
External Disturbance ◽  
Active Suspension ◽  
Trigger Mechanism ◽  
Actuator Dynamics ◽  
Quantized Feedback ◽  
Event Trigger

As the deviation error will accumulate during the data acquisition and transcoding process of an active suspension system, this paper presents a sliding-mode-based quantized feedback control method. The aim of the controller is to improve the vertical performance of vehicles in the presence of external interferences. A 7-DOF suspension model with nonlinear springs and actuator dynamics is built for the control purpose. Firstly, a static quantizer on the uplink channel and a dynamic quantizer on the downlink channel are considered in the sliding mode controller to reduce the cumulative error and suppress the sprung mass motions. Secondly, an event trigger mechanism is introduced in the controller design process to reduce energy consumption and operation frequency of the actuator. The overall stability of the designed controller is proved by the Lyapunov functions. Finally, numerical simulations are carried out to evaluate the efficacy of the proposed controller. Different quantitative and trigger conditions are discussed, and the random road excitation is considered as the external disturbance input. The results of the control method indicate that the designed controller can improve the riding comfort with little loss of handling stability compared with the passive system. In addition, the trigger mechanism can improve the working efficiency of actuators effectively.

scholarly journals Implementation of a PID Type Sliding-Mode Controller Design Based on Fractional Order Calculus for Industrial Process System

2021 ◽  
Vol 27 (6) ◽  
pp. 4-10
Author(s):  
Kagan Koray Ayten ◽  
Ahmet Dumlu
Keyword(s):  
Fractional Order ◽  
Control Method ◽  
Controller Design ◽  
Sliding Mode ◽  
Industrial Process ◽  
Liquid Level ◽  
Dramatic Improvement ◽  
Reference Trajectory ◽  
Process System ◽  
The Individual

This paper is devoted to designing a fractional order Proportional Integral Derivative (PID) type sliding mode control method (FO-PIDSMC) for a non-linear liquid level coupled tank process system. By considering the individual advantages of the FO calculus and PID type SMC method, this proposed FO-PIDSMC technique is designed to integrate the FO calculus method with PID type SMC scheme to obtain an accurate and robust liquid level tracking in terms of the predefined reference trajectory. The real-time experimental results of the proposed controller suggest a dramatic improvement over the traditional process system controller methods in both trajectory tracking and required control action.

scholarly journals Variable Structure Back-Stepping Control of Two-stage Three Phase Grid Connected PV Inverter

2020 ◽  
Author(s):  
Nasim Ullah ◽  
Ahmad Aziz Al Ahmadi
Keyword(s):  
Reactive Power ◽  
Control Method ◽  
Sliding Mode ◽  
Variable Structure ◽  
Control Approach ◽  
Control Loops ◽  
Pv Inverter ◽  
Voltage Variation ◽  
Three Phase ◽  
Back Stepping Control

This work presents a detailed analysis of a three phase grid tied photovoltaic inverter with variable structure back-stepping control approach. A nonlinear model of the system is derived and presented in rotational frame using the direct quadrature zero transformation (DQ). For the derivation of active and reactive power loops of the inverter, nonlinear back stepping approach is used. Moreover, sliding mode control method is used to derive the inner current loops while for the outer loop a virtual controller is derived using the Lyapunov function. The control loops are implemented in MATLAB/Simulink environment. To test the controller performance, active power variation, DC link voltage variation and reactive power variations are inflicted. The obtained results under the proposed control scheme are compared with boundary layer design based sliding mode controller. From the comparative analysis it is concluded that the proposed controller exhibit superior and robust performance under all test conditions.

scholarly journals A non-integer sliding mode controller to stabilize fractional-order nonlinear systems

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Ahmadreza Haghighi ◽  
Roveida Ziaratban
Keyword(s):  
Fractional Order ◽  
Chaotic Systems ◽  
Control Method ◽  
Controller Design ◽  
Nonlinear Dynamical Systems ◽  
Sliding Mode ◽  
Slip Surface ◽  
Direct Method ◽  
Distributed Model ◽  
Sliding Mode Controller

Abstract In this study, we examine the stabilization of fractional-order chaotic nonlinear dynamical systems with model uncertainties and external disturbances. We used the sliding mode controller by a new approach for controlling and stabilization of these systems. In this research, we replaced a continuous function with the sign function in the controller design and the sliding surface to suppress chattering and undesirable vibration effects. The advantages of the proposed control method are rapid convergence to the equilibrium point, the absence of chattering and unwanted oscillations, high resistance to uncertainties, and the possibility of applying this method to most fractional order chaotic systems. We applied the direct method of Lyapunov stability theory and the frequency distributed model to prove the stability of the slip surface and closed loop system. Finally, we simulated this method on two commonly used and practical chaotic systems and presented the results.

scholarly journals Decentralized Control Method of ISOP Converter for Input Voltage Sharing and Output Current Sharing in Current Control Loop

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1114
Author(s):  
Sung-Hun Kim ◽  
Bum-Jun Kim ◽  
Jung-Min Park ◽  
Chung-Yuen Won
Keyword(s):  
Decentralized Control ◽  
Control Method ◽  
Input Voltage ◽  
Current Control ◽  
Control Loop ◽  
Output Current ◽  
Signal Model ◽  
Control Loops ◽  
Current Sharing ◽  
Small Signal Model

Input-Series-Output-Parallel (ISOP) converters, a kind of modular converter, are used in high-input voltage and high-output current applications. In ISOP converters, Input Voltage Sharing (IVS) and Output Current Sharing (OCS) should be implemented for stable operation. In order to solve this problem, this paper proposes a decentralized control method. In the proposed control, output current reference is changed according to the decentralized control characteristic in individual current control loops. In this way, the proposed control method is able to implement IVS and OCS without communication. Also, this method can be easily used in current control loops and has high reliability compared to conventional control methods that require communication. In this paper, the operation principle is described to elucidate the proposed control and a small signal model of an ISOP converter is also implemented. Based on the small signal model, IVS stability analysis is performed using pole-zero maps with varying coefficients and control gains. In addition, the current control loop is designed in a stable region. In order to demonstrate the proposed control method, a prototype ISOP converter is configured using full-bridge converters. The performance of IVS and OCS in an ISOP converter is verified by experimental result.

Multiple Sliding Surface Controller for a Quadrotor for Improved Robustness Against Wind Disturbances

2020 ◽  
Author(s):  
Madhavan Sudakar ◽  
Siddharth Sridhar ◽  
Manish Kumar
Keyword(s):  
Pid Controller ◽  
Control Method ◽  
Controller Design ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Control Input ◽  
Wind Disturbance ◽  
Lyapunov Stability Analysis ◽  
Rapid Switching ◽  
Actual Control

Abstract In this paper, we present a controller design for a quadrotor by obtaining the derivative of the actual control input using the concept of multiple sliding surfaces and Lyapunov stability analysis. The conventional sliding mode controller is highly robust. The discontinuous part of the control input suppresses disturbances well. Theoretically, however, this discontinuity causes rapid switching of the control input (chattering) which results in large energy consumption and inefficiency. The proposed control method formulates the derivative of control input (having the discontinuity) which upon integrating provides a smoother control input when compared to the classical sliding mode control. The quadrotor with our proposed controller is subjected to varying wind disturbance scenarios and its performance is bench-marked against a PID controller and a conventional sliding mode controller. A saturation function sat is used instead of the sign for the classical sliding mode controller as well as the the proposed novel controller design in all sections from 4.2. The reasoning behind this is discussed in the results section of the paper.

A Nonlinear Controller Design Method for Fuel-Injected Automotive Engines

1988 ◽  
Vol 110 (3) ◽  
pp. 313-320 ◽  
Author(s):  
D. Cho ◽  
J. K. Hedrick
Keyword(s):  
Fuel Injection ◽  
Control Method ◽  
Controller Design ◽  
Sliding Mode ◽  
Design Method ◽  
Model Errors ◽  
Nonlinear Controller ◽  
Engine Model ◽  
Automotive Engines ◽  
On Line

A nonlinear, “sliding mode” fuel-injection controller is designed based on a physically motivated, mathematical engine model. The designed controller can achieve a commanded air-to-fuel ratio with excellent transient properties, which offers the potential for improving fuel economy, torque transients, and emission levels. The controller is robust to model errors as well as to rapidly changing maneuvers of throttle and spark advance. The sliding mode control method offers a great potential for future engine control problems, since: it results in a relatively simple control structure that requires little on-line computing and no table lookups; it is robust to model errors and disturbances; and it can be easily adapted to a family of engines.

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