The intelligent control technology with the traditional control theory formats intelligent compound controller in order to learn from each other and improve the overall advantage of complementary features. Fuzzy PID control neuron PID control, fuzzy sliding mode control, and optimal control of the neural network. This paper discusses the current situation and development of smart composite cont...

This paper deals with chaos synchronization between two different uncertain fractional order chaotic systems based on adaptive fuzzy sliding mode control (AFSMC). With the definition of fractional derivatives and integrals, a fuzzy Lyapunov synthesis approach is proposed to tune free parameters of the adaptive fuzzy controller on line by output feedback control law and adaptive law. Moreover, c...

This paper presents an analysis by which the dynamic performances of a permanent magnet synchronous motor (PMSM) motor is controlled through a hysteresis current loop and an outer speed loop with different controllers. The dynamics of the wind turbine pumping drive system with (PI) and a fuzzy sliding mode (FSM) speed controllers are presented. In order to optimize the overall system efficiency...

A novel sliding mode controller based on Takagi-Sugeno fuzzy model is designed for a class of nonlinear systems to tackle the nonlinear control problems with modelling uncertainties, time varying parameter fluctuations and external disturbances. A numerical example is simulated to verify the performances of the proposed control strategy, and the simulation results show that the controller desig...

This report presents two different control algorithms for adaptive vehicle traction control, which includes (1) wheel slip control, (2) optimal time control, (3) anti-spin acceleration and anti-skid control, and (4) longitudinal platoon control. The two control algorithms are respectively based on adaptive fuzzy logic control and sliding mode control with on-line road condition estimation. The ...

This paper proposes the implementation of a fuzzy based robust sliding model control design to obtain voltage regulation in a boost converter with high dc gain. The proposed controller has an inner loop based on slidingmode control whose sliding surface is defined for the input inductor current. The current reference value of the sliding surface is modified by a fuzzy logic controller in an out...

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...

This study examines the feasibility of applying adaptive fuzzy sliding mode control (AFSMC) strategies to reduce the dynamic responses of buildings constructed using a lead rubber bearing (LRB) isolation hybrid protective system. Recently developed control devices for civil engineering structures, including hybrid systems and semi-active systems, have been found to have inherent nonlinear prope...

in this paper a control system has been designed to improve traffic conditions in car following maneuver. there are different methods to design a control system. in this paper design approach is based on the fuzzy sliding mode control (fsmc) system. the aim of designing fsmc system is to achieve safe and desire longitudinal distance and less lateral displacement. in order to control and obtain ...

Diabetes is considered as a global affecting disease with an increasing contribution to both mortality rate and cost damage in the society. Therefore, tight control of blood glucose levels has gained significant attention over the decades. This paper proposes a method for blood glucose level regulation in type 1 diabetics. The control strategy is based on combining the fuzzy logic theory and si...