In this paper, an intelligent robust position controller for permanent-magnet synchronous motor (PMSM) servo drives is proposed. The intelligent robust position controller consists of a two-degrees-offreedom integral plus proportional & rate feedback (2DOF I-PD) controller in addition to an on-line trained neural-network model-following controller (NNMFC). This controller, 2DOF I-PD NNMFC, comb...

This paper suggests an intelligent controller for an automated vehicle planning its own trajectory based on sensor and communication data. The intelligent controller is designed using learning stochastic automata theory. Using the data received from on-board sensors, two automata (one for lateral actions, one for longitudinal actions) can learn the best possible action to avoid collisions. The ...

In this paper, we suggest an intelligent controller for an automated vehicle to plan its own trajectory based on sensor and communication data received. Our intelligent controller is based on an artificial intelligence technique called learning stochastic automata. The automaton can learn the best possible action to avoid collisions using the data received +om on-board sensors. The system has t...

This paper presents an Intelligent control based fuzzy logic for Sensorless speed control of induction motor drive. The proposed scheme used indirect vector control with fuzzy logic controller which gives optimal condition for maximum torque both in steady state and transient condition and has ability to plan via decomposition of a complex task into manageable subtasks and it has auto tuning pr...

This paper describes the intelligent cache controller of JUMP-1, a distributed shared memory type MPP. JUMP-1 adopts an off-the-shelf superscalar as the element processor to meet the requirement of peak performance, but such a processor lacks the ability to hide inter-processor communication latency, which may easily become too long on MPPs. Therefore JUMP-1 provides an intelligent memory syste...

Abst rac t The slip power recovery configuration is an attractive scheme of variable speed drive, with high efficiency and low converter rating; however, high performance control has being difficult. In this paper, novel applications of fuzzy logic for the intelligent control of a slip power recovery system are presented. A direct fuzzy logic controller and an adaptive fuzzy controller, based o...

This paper suggests an intelligent controller for an automated vehicle planning its own trajectory based on sensor and communication data. The intelligent controller is designed using learning stochastic automata theory. Using the data received from on-board sensors, two automata (one for lateral actions, one for longitudinal actions) can learn the best possible action to avoid collisions. The ...

With the development of ever-greater computational capabilities and the increasing need to address realworld problems, complex large-scale, discrete-event systems are being proposed and designed. Numerous examples can be cited, but certainly the list must include flexible/agile manufacturing systems, intelligent highway vehicle systems, and air-traffic-control systems. These systems have severa...

This paper presents the development and performance analysis of intelligent control techniques such as Sliding Mode controller and Fuzzy logic Controller for Brushless DC (BLDC)motor drives. Today, strong mathematical tools used in new control methodologies to design adaptive nonlinear robust controller with acceptable performance. One of the best nonlinear robust controller which can be used i...

This paper presents a perfect tracking control for discrete-time nonminimum phase of electro-hydraulic servo (EHS) system by adopting a combination of feedback and feedforward controller. A linear-quadratic-regulator (LQR) is firstly design as a feedback controller and a feedforward controller is then proposed to eliminate the phase error emerge by the LQR controller during the tracking control...