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This paper proposes an adaptive fuzzy logic tracking control for unknown nonlinear systems having input time delay. In the controller design, a filtered tracking error to facilitate handling of the time delay and fuzzy approximation of nonlinear function are introduced. Lyapunov stability analysis shows that the designed tracking control yields bounded signals of the closed-loop system. Two simulation...
Deception plays a significant role in many intelligent systems whether natural (insect colonies, animal colonies etc. to human beings) or artificial ones. In order to make artificial deception near the one existing in the real world, fuzzy theory seems a reasonable tool since it is the theory of mind through which the uncertainties can be modeled. In this work a hide and seek problem is considered...
This paper concerns the use of fuzzy structures to model non linear dynamic systems. An interval type-2 Takagi Sugeno Kang fuzzy logic systems (IT2 TSK FLSs) is proposed. The proposed approach is a combination of IT2 fuzzy system and TSK fuzzy models and it presents an extension of the type-1 Takagi Sugeno Kang fuzzy logic system (T1 TSK FLSs). The interval type-2 fuzzy sets provide additional degrees...
The correct current or voltage phase angle of a power electronics equipment is an essential information, especially in those connected to grid as: thyristor rectifiers, active power filters and distributed generation systems. For this reason, up to this day there are several Phase-Locked Loop (PLL) algorithms presented. However, those algorithms usually suffer from unsatisfactory dynamic response...
The use of grid codes to supply energy means that wind turbines must connect to grids under both normal and abnormal conditions. It is therefore necessary to implement a fast and efficient method to enable a wind turbine to safely carry through in faulty conditions. This paper employs an optimized double decouple synchronous reference frame phase locked loop (ODDSRF-PLL) to correctly detect the amplitude...
In this paper, a Particle Swarm Optimization based PI controller (PSO-PI) is used for control the speed and the torque of a Permanent Magnet Synchronous Motor (PMSM) while a Model Reference Adaptive System (MRAS) based on an Artificial Neural Network (ANN) estimation mechanism is applied to estimate sensorless the speed. In order to show the capability of the proposed PSO-PI controller, it is compared...
In this work, a fuzzy logic control system is proposed for PMSMs without knowledge of the machine's parameters. The scheme consists of two adaptive fuzzy controllers, respectively for velocity and direct current control. The control scheme stability is proven by the Lyapunov stability theory and its performance is validated through a set of simulations on an experimentally validated PMSM model. The...
One of the key issues for electric vehicle (EV) development is the energy management strategy, especially for those with hybrid energy storage systems. A fuzzy logic based energy management strategy (FEMS) is proposed in this work to determine the power split between two energy storage sources: a battery tank and an ultracapacitor tank. Fuzzy logic control is chosen because of the nonlinearity of...
Autonomous mobile robots navigation and control systems are still hugely important in real time robotic applications. When moving towards fully autonomous navigation, guidance plays a vital task for successful autonomous navigation. In this paper, the authors propose real time guidance fuzzy logic application based on edge and color information surrounding the road surface by using omnidirectional...
A fuzzy logic controller strategy for battery energy management in a grid connected electro-thermal residential microgrid is presented. The fuzzy control policy manages the power of the microgrid storage elements in order to minimize a set of quality indices involving, among others, the power profile exchanged with the mains. Numerical simulations using real measured data generation and consumption...
In this paper, a supervisory energy management strategy is presented for multiple battery units. The use of several energy storage devices such as batteries makes their maintenance costly and management a difficult task to undertake. The proposed supervisory approach aims to equilibrate the state of charge (SOC) and hence energy usage, which extends the life of batteries and reduces their heavy maintenance...
Maximum power point tracking (MPPT) is a necessary function for all photovoltaic (PV) systems. The classical incremental conductance (IncCond) maximum power point tracking (MPPT) with direct control is widely applied in many papers. The IncCond algorithm is prone to failure during high changes in the irradiance. This paper deals with a new algorithm based on variable step size to eliminate all drawbacks...
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