9,869 research outputs found

    A Novel Fuzzy Logic Based Adaptive Supertwisting Sliding Mode Control Algorithm for Dynamic Uncertain Systems

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    This paper presents a novel fuzzy logic based Adaptive Super-twisting Sliding Mode Controller for the control of dynamic uncertain systems. The proposed controller combines the advantages of Second order Sliding Mode Control, Fuzzy Logic Control and Adaptive Control. The reaching conditions, stability and robustness of the system with the proposed controller are guaranteed. In addition, the proposed controller is well suited for simple design and implementation. The effectiveness of the proposed controller over the first order Sliding Mode Fuzzy Logic controller is illustrated by Matlab based simulations performed on a DC-DC Buck converter. Based on this comparison, the proposed controller is shown to obtain the desired transient response without causing chattering and error under steady-state conditions. The proposed controller is able to give robust performance in terms of rejection to input voltage variations and load variations.Comment: 14 page

    Fuzzy second order sliding mode control of a unified power flow controller

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    Purpose. This paper presents an advanced control scheme based on fuzzy logic and second order sliding mode of a unified power flow controller. This controller offers advantages in terms of static and dynamic operation of the power system such as the control law is synthesized using three types of controllers: proportional integral, and sliding mode controller and Fuzzy logic second order sliding mode controller. Their respective performances are compared in terms of reference tracking, sensitivity to perturbations and robustness. We have to study the problem of controlling power in electric system by UPFC. The simulation results show the effectiveness of the proposed method especiallyin chattering-free behavior, response to sudden load variations and robustness. All the simulations for the above work have been carried out using MATLAB / Simulink. Various simulations have given very satisfactory results and we have successfully improved the real and reactive power flows on a transmission lineas well as to regulate voltage at the bus where it is connected, the studies and illustrate the effectiveness and capability of UPFC in improving power.Π’ настоящСй ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСна ΡƒΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½Π½Π°Ρ схСма управлСния, основанная Π½Π° Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΎΠΉ Π»ΠΎΠ³ΠΈΠΊΠ΅ ΠΈ Ρ€Π΅ΠΆΠΈΠΌΠ΅ скольТСния Π²Ρ‚ΠΎΡ€ΠΎΠ³ΠΎ порядка ΡƒΠ½ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π»Π΅Ρ€Π° ΠΏΠΎΡ‚ΠΎΠΊΠ° мощности. Π”Π°Π½Π½Ρ‹ΠΉ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π»Π΅Ρ€ ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ‚ прСимущСствами с Ρ‚ΠΎΡ‡ΠΊΠΈ зрСния статичСской ΠΈ динамичСской Ρ€Π°Π±ΠΎΡ‚Ρ‹ энСргосистСмы, Π½Π°ΠΏΡ€ΠΈΠΌΠ΅Ρ€, Π·Π°ΠΊΠΎΠ½ управлСния синтСзируСтся с использованиСм Ρ‚Ρ€Π΅Ρ… Ρ‚ΠΈΠΏΠΎΠ² ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π»Π΅Ρ€ΠΎΠ²: ΠΏΡ€ΠΎΠΏΠΎΡ€Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎ-ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ, ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π»Π΅Ρ€Π° ΡΠΊΠΎΠ»ΡŒΠ·ΡΡ‰Π΅Π³ΠΎ Ρ€Π΅ΠΆΠΈΠΌΠ° ΠΈ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π»Π΅Ρ€Π° ΡΠΊΠΎΠ»ΡŒΠ·ΡΡ‰Π΅Π³ΠΎ Ρ€Π΅ΠΆΠΈΠΌΠ° Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΎΠΉ Π»ΠΎΠ³ΠΈΠΊΠΈ Π²Ρ‚ΠΎΡ€ΠΎΠ³ΠΎ порядка. Π˜Ρ… ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠ΅ характСристики ΡΡ€Π°Π²Π½ΠΈΠ²Π°ΡŽΡ‚ΡΡ с Ρ‚ΠΎΡ‡ΠΊΠΈ зрСния отслСТивания эталонов, Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΊ возмущСниям ΠΈ надСТности. НСобходимо ΠΈΠ·ΡƒΡ‡ΠΈΡ‚ΡŒ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡƒ управлСния ΠΌΠΎΡ‰Π½ΠΎΡΡ‚ΡŒΡŽ Π² энСргосистСмС с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΡƒΠ½ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π»Π΅Ρ€Π° ΠΏΠΎΡ‚ΠΎΠΊΠ° мощности (UPFC). Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ модСлирования ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‚ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°, особСнно Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ отсутствия Π²ΠΈΠ±Ρ€Π°Ρ†ΠΈΠΈ, Ρ€Π΅Π°ΠΊΡ†ΠΈΠΈ Π½Π° Π²Π½Π΅Π·Π°ΠΏΠ½Ρ‹Π΅ измСнСния Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠΈ ΠΈ устойчивости. ВсС расчСты для Π²Ρ‹ΡˆΠ΅ΡƒΠΊΠ°Π·Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π±Ρ‹Π»ΠΈ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½Ρ‹ с использованиСм MATLAB/Simulink. Π Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ расчСтныС исслСдования Π΄Π°Π»ΠΈ вСсьма ΡƒΠ΄ΠΎΠ²Π»Π΅Ρ‚Π²ΠΎΡ€ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹, ΠΈ ΠΌΡ‹ ΡƒΡΠΏΠ΅ΡˆΠ½ΠΎ ΡƒΠ»ΡƒΡ‡ΡˆΠΈΠ»ΠΈ ΠΏΠΎΡ‚ΠΎΠΊΠΈ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΉ ΠΈ Ρ€Π΅Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠΉ мощности Π½Π° Π»ΠΈΠ½ΠΈΠΈ элСктропСрСдачи, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ€Π΅Π³ΡƒΠ»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ напряТСния Π½Π° шинС, ΠΊ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ ΠΎΠ½Π° ΠΏΠΎΠ΄ΠΊΠ»ΡŽΡ‡Π΅Π½Π°, Ρ‡Ρ‚ΠΎ позволяСт ΠΈΠ·ΡƒΡ‡ΠΈΡ‚ΡŒ ΠΈ ΠΏΡ€ΠΎΠΈΠ»Π»ΡŽΡΡ‚Ρ€ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ ΠΈ возмоТности UPFC для увСличСния мощности

    PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles

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    There exists an increasing demand for a flexible and computationally efficient controller for micro aerial vehicles (MAVs) due to a high degree of environmental perturbations. In this work, an evolving neuro-fuzzy controller, namely Parsimonious Controller (PAC) is proposed. It features fewer network parameters than conventional approaches due to the absence of rule premise parameters. PAC is built upon a recently developed evolving neuro-fuzzy system known as parsimonious learning machine (PALM) and adopts new rule growing and pruning modules derived from the approximation of bias and variance. These rule adaptation methods have no reliance on user-defined thresholds, thereby increasing the PAC's autonomy for real-time deployment. PAC adapts the consequent parameters with the sliding mode control (SMC) theory in the single-pass fashion. The boundedness and convergence of the closed-loop control system's tracking error and the controller's consequent parameters are confirmed by utilizing the LaSalle-Yoshizawa theorem. Lastly, the controller's efficacy is evaluated by observing various trajectory tracking performance from a bio-inspired flapping-wing micro aerial vehicle (BI-FWMAV) and a rotary wing micro aerial vehicle called hexacopter. Furthermore, it is compared to three distinctive controllers. Our PAC outperforms the linear PID controller and feed-forward neural network (FFNN) based nonlinear adaptive controller. Compared to its predecessor, G-controller, the tracking accuracy is comparable, but the PAC incurs significantly fewer parameters to attain similar or better performance than the G-controller.Comment: This paper has been accepted for publication in Information Science Journal 201

    Design of Adaptive Sliding Mode Fuzzy Control for Robot Manipulator Based on Extended Kalman Filter

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    In this work, a new adaptive motion control scheme for robust performance control of robot manipulators is presented. The proposed scheme is designed by combining the fuzzy logic control with the sliding mode control based on extended Kalman filter. Fuzzy logic controllers have been used successfully in many applications and were shown to be superior to the classical controllers for some nonlinear systems. Sliding mode control is a powerful approach for controlling nonlinear and uncertain systems. It is a robust control method and can be applied in the presence of model uncertainties and parameter disturbances, provided that the bounds of these uncertainties and disturbances are known. We have designed a new adaptive Sliding Mode Fuzzy Control (SMFC) method that requires only position measurements. These measurements and the input torques are used in an extended Kalman filter (EKF) to estimate the inertial parameters of the full nonlinear robot model as well as the joint positions and velocities. These estimates are used by the SMFC to generate the input torques. The combination of the EKF and the SMFC is shown to result in a stable adaptive control scheme called trajectory-tracking adaptive robot with extended Kalman (TAREK) method. The theory behind TAREK method provides clear guidelines on the selection of the design parameters for the controller. The proposed controller is applied to a two-link robot manipulator. Computer simulations show the robust performance of the proposed scheme

    A survey on fractional order control techniques for unmanned aerial and ground vehicles

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    In recent years, numerous applications of science and engineering for modeling and control of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) systems based on fractional calculus have been realized. The extra fractional order derivative terms allow to optimizing the performance of the systems. The review presented in this paper focuses on the control problems of the UAVs and UGVs that have been addressed by the fractional order techniques over the last decade

    Discussion of the technology and research in fuel injectors common rail system

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    Common rail is one of the most important components in a diesel and gasoline direct injection system. It features a high-pressure (100 bar) fuel rail feeding solenoid valves, as opposed to a low-pressure fuel pump feeding unit injectors. Third-generation common rail diesels now feature piezoelectric injectors for increased precision, with fuel pressures up to 2,500 bar. The purpose of this review paper is to investigate the technology and research in fuel injectors common rail system. This review paper focuses on component of common rail injection system, pioneer of common rail injection, characteristics of common rail injection system, method to reduce smoke and NOx emission simultaneously and impact of common rail injection system. Based on our research, it can be concluded that common rail injection gives many benefit such as good for the engine performance, safe to use, and for to reduce the emission of the vehicle. Fuel injection common rail system is the modern technology that must be developed. Nowadays, our earth is polluting by vehicle output such as smoke. If the common rail system is developed, it can reduce the pollution and keep our atmosphere clean and safe
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