Weight control system on the feeder conveyor determines the factor of the quality of products within an industry. The dynamics of the flow rate of material through the feeder conveyor weigh requires a good level of performance controllers. The base of current controllers such as FLC (Fuzzy Logic Controller) requires a certain amount of knowledge and expertise in its design that will make it dif...

In this paper, speed control of asynchronous machine fed by a photovoltaic (PV) generator based on a direct proportional and integral controller and an adaptive fuzzy logic controller (AFLC) is presented. Also In this study, it is proposed that the PV output voltage is varies between certain cut in and cut off values that to extract maximum power during different insolation values instead of op...

and Applied Analysis 3 A α , A β are matrices that will be updated adaptively with the following updating laws: ?̇? α (t) = −Q −1 ⋅ z ⋅ ξ T α ⋅ es, ?̇? β (t) = −Q −1 ⋅ z ⋅ ξ T β ⋅ es ⋅ u (t) (12) and finally the control law is described as follows: u (t) = 1 β (t) + β (x) (− [α (t) + ?̂? (x)] + v (t)) . (13) 2.2. Direct Adaptive Fuzzy Controller (DAFC). Control law u(t) in feedback linearization m...

Fuzzy control is a model free approach, i.e., it does not require a mathematical model of the system under control. An observer-based indirect adaptive fuzzy neural tracking control equipped with VSS and H∞ control algorithms is developed for nonlinear SISO systems involving plant uncertainties and external disturbances. Three important control methods, i.e., adaptive fuzzy neural control schem...

An adaptive backstepping fuzzy-immune controller for a class of chaotic systems is proposed. An adaptive backstepping fuzzy method and adaptive laws are used to approximate nonlinear functions and the unknown upper bounds of uncertainty, respectively. The proposed adaptive backstepping fuzzy-immune controller guarantees the stability of a class of chaotic systems while maintaining good tracking...

In this paper, an adaptive neuro fuzzy sliding mode based genetic algorithm (ANFSGA) controlsystem is proposed for a pH neutralization system. In pH reactors, determination and control of pH isa common problem concerning chemical-based industrial processes due to the non-linearity observedin the titration curve. An ANFSGA control system is designed to overcome the complexity of precisecontrol o...

In this paper, an adaptive fuzzy backstepping output feedback control approach is proposed for a class of strict-feedback stochastic nonlinear systems with time delays and immeasurable states. Fuzzy logic systems are firstly utilized to approximate the unknown nonlinear functions, and then a fuzzy state observer is designed to estimate the immeasurable states. By combining the fuzzy adaptive co...