To demonstrate the applicability and feasibility of AI technology in nuclear fields in China, a fuzzy controller to control the reactor power of China Advanced Research Reactor (CARR) is designed in this paper. The fuzzy controller uses Mamdani inference system based 2 inputs-power difference and power period, 1 outputvelocity of control rods. To evaluate the performance of the fuzzy controller...

In this paper we introduce a fuzzy elevator group controller using a linear context adaptation technique. We first describe the elevator group control problem and the schemes usually employed to solve it. We detail the fuzzy controller used in our development and an example system used in simulation experiments. The focus is on the comparison between the standard fuzzy controller and the fuzzy ...

The contribution of this paper is to provide a nonlinear MIMO scheme for a drying process, composed by four fuzzy controllers: Fuzzy Dehumidifier Controller (FDC-PD), Fuzzy Humidifier Controller (FHRC-PD), Fuzzy Electrical Resistance controller (FERC-PD) and Fuzzy Blower Controller (FBC-FD) and compare with results obtained previously with PID control scheme. The main aim is to allow the resear...

Abstract: This paper presents a fuzzy robust controller for the nonlinear systems with uncertain dynamics. The main idea of this method is that Type-2 fuzzy system estimates nonlinear and uncertain functions exist in the system equations and then the parameters of type-2 fuzzy system are tuned online by adaptive rules obtained from Lyapunov theory and finally, stability and convergence analysis...

Abstract: This paper presents a robust non-linear hybrid controller based on Type-2 fuzzy and sliding mode control strategy for VSC-HVDC transmission link, which inherits the benefits of these two methods. The interval Type-2 fuzzy (IT2FSMC) is used to handle the uncertainties to enhance the real time performance. The sliding mode control combines with the fuzzy system to compensate the influen...

Distributed flexible AC- transmission system (D-FACTS) is a recently advanced FACTS device with high flexibility and smaller size. The DPFC can control power flow in transmission lines, regulate bus voltages and it can also enhance stability margin in power grids. Adaptive-neural network-based fuzzy inference system (ANFIS) combines features of artificial neural network and fuzzy controller. Th...

The interval type-2 fuzzy, combined with sliding mode control, is proposed in this paper to design a novel nonlinear robust controller for a hypersonic aircraft. In this method, sliding mode reaching law is designed to keep the system stable. In order to overcome the uncertain parameters and external disturbances which exist in aerospace, we utilize an interval type-2 fuzzy approach represented...

This paper presents approaches to the design of a hybrid fuzzy logic proportional plus conventional integralderivative (fuzzy P+ID) controller in an incremental form. This controller is constructed by using an incremental fuzzy logic controller in place of the proportional term in a conventional PID controller. By using the bounded-input/bounded-output “small gain theorem,” the sufficient condi...

This study develops a fuzzy sliding mode controller (FSMC) based on a variable boundary layer. A fuzzy inference mechanism is used to on-line tune the thickness of the boundary layers of the controller. Minimum rule base has been used for the fuzzy inference system which results in low calculation effort. The aim of this paper is to design a controller which will eliminate the chattering of FSM...

This paper deals with the application of artificial neural network (ANN) and fuzzy based Adaptive Neuro Fuzzy Inference System(ANFIS) approach to Load Frequency Control (LFC) of multi unequal area hydro-thermal interconnected power system. The proposed ANFIS controller combines the advantages of fuzzy controller as well as quick response and adaptability nature of ANN. Area-1 and area-2 consist...