Double Hidden Layer Output Feedback Neural Adaptive Global Sliding Mode Control of Active Power Filter

Fei, Juntao; Chu, Yundi

doi:10.1109/tpel.2019.2925154

Cited by 97 publications

(56 citation statements)

References 34 publications

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“…An adaptive fuzzy neural network control is designed for a constrained robot using impedance learning in [21] An compensatory fuzzy neural network control is derived with dynamic parameters estimation for a linear voice coil actuator [22]. Adaptive intelligent control methods such as fuzzy control and neural control have been investigated to improve the power dynamic performance of shunt active power filter in [23]- [27].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of Active Power Filter

2020

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An adaptive backstepping fuzzy neural network (FNN) controller using a fuzzy sliding mode controller is designed to suppress the harmonics and improve the performance of a shunt active power filter (APF). A backstepping method transforms the APF system into a series of subsystems and uses the virtual control to simplify the controller design. A FNN controller is utilized to approach the nonlinear APF system. An adaptive fuzzy system is employed to adjust the sliding gain to compensate the approximation error of neural network and diminish the chattering. The weights of the fuzzy neural network and fuzzy system parameters are adjusted in real-time to guarantee the asymptotic stability of the designed control system. Simulation and experiemental studies indicate the validitiy of the proposed control method, demonstrating the good compensation performance and strong robustness. INDEX TERMS Fuzzy neural network, adaptive fuzzy control, backstepping control, active power filter.

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Section: Introductionmentioning

confidence: 99%

Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of Active Power Filter

2020

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“…In addition, reactive power and harmonic current cannot be compensated at the same time, especially for nonlinear loads with large fluctuation. Furthermore, with the increasing requirements of satisfactory power quality, the development of active power filter (APF) becomes a general concern [5]- [7]. APFs present clear advantages such as increased frequency range, accelerated dynamic response, etc.…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of Modified Adaptive Fuzzy Control for Power Quality Improvement

et al. 2020

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This study aims to present a modified adaptive fuzzy control (MAFC) for power quality improvement, whereby adaptive fuzzy control with parameter adaptive capability is employed to emulate optimal control. Different from conventional fuzzy control-based current control method without analytical tools to guarantee basic performance criteria, high-performance control system can be realized using Lyapunov-based adaptive fuzzy control. Also, in order to compensate the fuzzy approximation error (FAE) in conventional fuzzy control, a modified adaptive fuzzy control with adaptive compensator is developed. Unlike the existing approaches, adaptive compensator can estimate the optimal value of FAE with no need of upper bound of FAE. Simulation and experimental results verify that proposed control strategies reveal superior performance under different conditions.

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“…The working environment of mini-loader is mostly uneven terrain, such as rough and muddy, which results in unstable speed; therefore, a more efficient power allocation is required. Advanced technologies could be applied to an electrified mini-loader like fuzzy control [10], [11] and sliding-mode control [12], [13]. We adopted fuzzy control in this study to improve the performance of the system.…”

Section: Introductionmentioning

confidence: 99%

Functionalization of Wireless Control and Fuzzy Systems to Hybrid Mini-Loaders

et al. 2020

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In this work, a wireless remote-control function and fuzzy control function were added to the mini-loader of a hybrid gas-electricity powertrain. The loader uses a long-range (LoRa) protocol for communication, which is capable of long-distance signal transmissions and has a high level of sensitivity. A frequency-hopping mechanism based on received signal strength, center frequency, and sensitivity information was constructed for the LoRa system, which aids the transmission of information over long distances in a stable manner. This allows the loader to be utilized in remote regions or topographically complex areas. A fuzzy controller was incorporated to alleviate the fuel consumption problems of the hybrid powertrain and provided efficient and stable hybrid power by tuning the torque and rotation speed of the motor. The functionalized mini-loader has achieved data transfer success rates greater than 90% in wireless transmissions within a range of 100 m. The energy consumption of the functionalized powertrain was lowered by 8%. INDEX TERMS Wireless remote-control, fuzzy control, mini-loader, long range (LoRa).

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Double Hidden Layer Output Feedback Neural Adaptive Global Sliding Mode Control of Active Power Filter

Cited by 97 publications

References 34 publications

Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of Active Power Filter

Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of Active Power Filter

Experimental Validation of Modified Adaptive Fuzzy Control for Power Quality Improvement

Functionalization of Wireless Control and Fuzzy Systems to Hybrid Mini-Loaders

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