in this paper, a new structure possessing the advantages of low-power consumption, less hardware and high-speed is proposed for fuzzy controller. the maximum output delay for general fuzzy logic controllers (flc) is about 86 ns corresponding to 11.63 mflips (fuzzy logic inference per second) while this amount of the delay in the designed fuzzy controller becomes 52ns that corresponds to 19.23 m...

Using computer simulation, the theoretical feasibility of functional electrical stimulation (FES) assisted standing up is demonstrated using a closed-loop self-adaptive fuzzy logic controller based on reinforcement machine learning (FLC-RL). The control goal was to minimize upper limb forces and the terminal velocity of the knee joint. The reinforcement learning (RL) technique was extended to m...

Conventional stage controllers (CSC) for interior environment control of agricultural facilities are prevalent and well suited for slowly varying loads, smaller facilities with few stages of control, and in cases where “discrete proportional control” is deemed adequate. Ad hoc implementation schemes for using the same CSC over a range in size of building heating and ventilating systems, from on...

The design of Automatic Generation Control (AGC) system plays a vital role in automation of power system. This paper proposes Hybrid Neuro Fuzzy (HNF) approach for AGC of two-area interconnected reheat thermal power system with the consideration of Generation Rate Constraint (GRC). The advantage of proposed controller is that it can handle the system non-linearities and at the same time the pro...

A new fuzzy bang–bang relay controller (FBBRC) is introduced in this paper. The new controller is inherently optimal due to its bang–bang property. The controller has fuzzy decision-making capability in its inputs and have two fixed levels bang–bang output. Consequently, the tuning of FBBRC is restricted to input parameters only in comparison to standard fuzzy logic controller (FLC) where the o...

Achieving high performance controller for multi-joints actuators on rehabilitation lower limb exoskeleton (RLLE) is difficult due to its non-linear characteristics. The with less tracking error a key challenge in their controller. Therefore, this paper presents new particle swarm optimization based initialization of model reference adaptive fuzzy logic proportional derivative (Adaptive-FLC-PD),...

This article presents an intelligent fuzzy logic controller (FLC) for controlling single-body heaving wave energy converter (WEC) or what is widely known as “Point Absorber”. The controller aims at maximizing the energy captured from the sea waves. The power take-off (PTO) limitations are addressed implicitly in the fuzzy inference system (FIS) framework. In order to enhance the WEC power captu...

This paper presents a new approach used for switched reluctance motors (SRM) speed control. Two nonlinear controller, one is variable structure with sliding mode controlled type (VSC) and the other is PI-like fuzzy controller (FLC), define a new control structure. The VSC acts mainly in a transient state which is increasing system stability limits. But, PI-like FLC controller acts in the steady...

This paper presents an application of fuzzy c-means clustering to designing the fuzzy logic controller for the temperature control in electric ceramics kiln. This research aims to controlling the temperature in firing step of burning the ceramic products which were coated with black, intensely red and green chemical substances. The experimental results show that the fuzzy c-means clustering des...

To feasibly achieve economical and satisfactory robust velocity tracking of an induction machine (IM), we propose an Arduino-implemented intelligent speed controller. Because a voltage/frequency controlled IM framework is simple and well suited for being controlled by the proposed speed controller, it is adopted herein. Taking into account easy implementation and good performance, we design the...