This paper presents a novel approach to control the speed of BLDC motor by using PID, Fuzzy, Neural Network and Anti-windup Controllers. The PID controllers is set to optimize the motor parameters such as rise time, peak time, Maximum peak overshoot and Settling time. The fuzzy controller adopts fuzzy logic to retune the PID parameters. Based on the mathematical model of BLDC Motor, novel adapt...

We ®rst present a novel general-purpose nonlinear PID controller realized via fuzzy PID control that uses our newly-introduced simpli®ed Takagi±Sugeno (TS) rule scheme. Analytical structure of the fuzzy PID controller is derived and its structure is analyzed in relation to the linear PID controller. The unique features of the fuzzy controller are as follows. First, the proportional, integral an...

The studies of CNG/gasoline dual-fuel engine system model are relatively few. The design deficiencies of CNG/gasoline dual-fuel engine speed controller exist. In this paper, the design and simulation of CNG/gasoline engine speed controller based on Matlab were put forward. On the basis of reasonable CNG engine model, the digital PID speed controller and adaptive fuzzy PID speed controller model...

This paper presents a review study of PID and fuzzy logic controller for level control of the tank. PID controller is widely used in industries for level control and non-linear system but tuning of PID controller is difficult and it use a mathematical model of the system which is also difficult to find for highly nonlinear system. Fuzzy logic controller use linguistic method to control the syst...

Different types of controlling methods are used in switched mode dc-dc converters and the controller which is simple and of low cost is always in demand. The different controllers used are PI controller, PID controller and Fuzzy logic controller. PI and PID controllers do not give good performance in non linear conditions. Fuzzy logic controller is a non linear controller which do not need exac...

This paper deals with the design of a fuzzy PID Controller (FPIDC) with dynamic gain through a fuzzy scheme. The gain factor of Proportional, Integral and Derivative is varied according to process of the proposed dead time. FPIDC is modified which depends on the normalized change of error of the controlled variable (ec) and its number of fuzzy partitions. The proposed scheme is tested for a wid...

In the field of Automation, Fuzzy Control Fuzzy control has significant merits which are utilized in intelligent controllers, especially for vibration control systems. This paper is concerned with the application aspects of the developed MR damper for landing gear system, to attenuate the sustained vibrations during the landing phase. Also a comparative study is made on the responses obtained f...

In this paper, a parallel structure of fuzzy PID control systems is proposed. It is associated with a new tuning method which, based on gain margin and phase margin speci"cations, determines the parameters of the fuzzy PID controller. In comparison with conventional PID controllers, the proposed fuzzy PID controller shows higher control gains when system states are away from equilibrium and, at...

This paper presents the automatic drug administration for the regulation of bispectral (BIS) index in the anesthesia process during the clinical surgery by controlling the concentration target of two drugs, namely, propofol and remifentanil. To realize the automatic drug administration, real clinical data are collected for 42 patients for the construction of patients’ models consisting of pharm...

It is difficult to control the movement of the robot arm due to its nonlinear structure. PID controller is still in the world because of its simplicity in designing this controller as the main controller. The nonlinear control technique is very complicated, and this is not very interesting in the controller. While fuzzy control has a better performance, it incorporates a fuzzy control with ...