Decoupling Vector Control and Optimisation of PMSG-Based Wind Energy System Using Adaptive Type-1 and Type-2 Fuzzy Logic Control

The main aim of this article is to present the usage of type-2 fuzzy logic controller to control a shape memory actuator. To enhance real-time performance simplified interval fuzzy sets were used. The algorithm was implemented in the ATmega32 microcontroller. The dedicated PC application was also built. The fuzzy logic controller type-2 was tested experimentally by controlling position of the shape memory alloy actuator NM70 which despite its small size distinguishes itself by its strength. The obtained results confirmed that type-2 fuzzy controller performed efficiently with a difficult to control nonlinear plant. The research also proved that interval type-2 controllers, which are a simplified version of the general type-2 controllers, are very efficient. They can handle uncertainties without increasing drastically the computational complexity. Experimental data comparison of the fuzzy logic controller type-2 with type-1 clearly indicates the superiority of the former, especially in reducing overshooting.

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Advanced Type-2 fuzzy logic–based pitch-angle control strategy for wind energy system

Wind Engineering ◽

10.1177/0309524x19849839 ◽

2019 ◽

Vol 44 (1) ◽

pp. 75-92

Author(s):

Kanasottu Anil Naik ◽

Chandra Prakash Gupta ◽

Eugene Fernandez

Keyword(s):

Fuzzy Logic ◽

Wind Energy ◽

Pitch Angle ◽

Fuzzy Logic Controller ◽

Equilibrium Points ◽

Energy System ◽

Rotor Speed ◽

Wind Energy System ◽

Fuzzy Logic Technique

In general, pitch-angle controller regulates the generator output power when the wind speed exceeds the rated wind turbine speed. Besides this, it can also be employed to stabilize the wind energy system rotor speed during the transient disturbances. In this article, therefore, a logical pitch-angle controller strategy (in power and speed control modes) has been developed and an interval Type-2 fuzzy logic technique is proposed to design the controller. To evaluate the effectiveness of the Type-2 fuzzy logic–based pitch-angle controller, the simulations have been carried out for severe network faults and fluctuating wind conditions, and the results are compared with conventional proportional–integral and fuzzy logic controller (called as Type-1 fuzzy logic controller). Moreover, some key factors that affect the transient stability of wind generator have also been investigated. The electrical torque and mechanical torque versus rotor speed results are obtained under different pitch-angle conditions, and the concept of stable and unstable electrical–mechanical equilibrium points is established.

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From Type-1 to Type-2 Fuzzy Logic Control: A Stability and Robustness Study

Hybrid Intelligent Systems - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-37421-3_8 ◽

2007 ◽

pp. 135-149 ◽

Cited By ~ 2

Author(s):

Nohé Cázarez ◽

Oscar Castillo ◽

Luís Aguilar ◽

Selene Cárdenas

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Control ◽

Logic Control

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Type-2 fuzzy logic control for underactuated truss-like robotic finger with comparison of a type-1 case1

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-161538 ◽

2017 ◽

Vol 33 (4) ◽

pp. 2047-2057 ◽

Cited By ~ 8

Author(s):

Shuchen Ding ◽

Xianlin Huang ◽

Xiaojun Ban ◽

Hongqian Lu ◽

Hongyang Zhang

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Control ◽

Logic Control

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Stabilizing control of two-wheeled wheelchair with movable payload using optimized interval type-2 fuzzy logic

Journal of Low Frequency Noise Vibration and Active Control ◽

10.1177/1461348420979480 ◽

2020 ◽

pp. 146134842097948

Author(s):

Nurul Fadzlina Jamin ◽

Nor Maniha Abdul Ghani ◽

Zuwairie Ibrahim ◽

Ahmad Nor Kasruddin Nasir ◽

Mamunur Rashid ◽

...

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Control ◽

Fuzzy Logic Controller ◽

Dynamic Algorithm ◽

Logic Control ◽

Stabilizing Control ◽

Control Schemes ◽

Interval Type

The control schemes of a wheelchair having two wheels with movable payload utilizing the concept of a double-link inverted pendulum have been investigated in this article. The proposed wheelchair has been simulated using SimWise 4D software considering the most efficient parameters. These parameters are extracted using the spiral dynamic algorithm while being controlled with interval type-2 fuzzy logic controller (IT2FLC). The robustness and stability of the implemented controller are assessed under different situations including standing upright, forward motion and application of varying directions and magnitudes of outer disturbances to movable (up and down) system payload. It is shown that the two-wheeled wheelchair adopted by the newly introduced controller has achieved a 94% drop in torque for both Link1 and Link2 and more than 98% fall in distance travelled in comparison with fuzzy logic control type-1 (FLCT1) controller employed in an earlier design. The present study has further considered the increased nonlinearity and complexity of the additional moving payload. From the outcome of this study, it is obvious that the proposed IT2FLC-spiral dynamic algorithm demonstrates better performance than FLCT1 to manage the uncertainties and nonlinearities in case of a movable payload two-wheel wheelchair system.

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Techno-Economic Analysis of a Fuzzy Logic Control Based Hybrid Renewable Energy System to Power a University Campus in Japan

Energies ◽

10.3390/en14071960 ◽

2021 ◽

Vol 14 (7) ◽

pp. 1960

Author(s):

Tatsuya Hinokuma ◽

Hooman Farzaneh ◽

Ayas Shaqour

Keyword(s):

Fuzzy Logic ◽

Renewable Energy ◽

Economic Analysis ◽

Fuzzy Logic Control ◽

Energy System ◽

Levelized Cost Of Electricity ◽

Logic Control ◽

Hybrid Renewable Energy System ◽

Renewable Energy System ◽

Hybrid Renewable Energy

In order to reduce the load demand of buildings in Japan, this study proposes a grid-tied hybrid solar–wind–hydrogen system that is equipped with a maximum power point tracking (MPPT) system, using a fuzzy logic control (FLC) algorithm. Compared with the existing MPPTs, the proposed MPPT provides rapid power control with small oscillations. The dynamic simulation of the proposed hybrid renewable energy system (HRES) was performed in MATLAB-Simulink, and the model results were validated using an experimental setup installed in the Chikushi campus, Kyushu University, Japan. The techno-economic analysis (TEA) of the proposed system was performed to estimate the optimal configuration of the proposed HRES, subject to satisfying the required annual load in the Chikushi campus. The results revealed a potential of 2% surplus power generation from the proposed HRES, using the FLC-based MPPT system, which can guarantee a lower levelized cost of electricity (LOCE) for the HRES and significant savings of 2.17 million yen per year. The TEA results show that reducing the cost of the solar system market will lead to a reduction in LCOE of the HRES in 2030.

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