This paper proposes a simultaneous control method for the angle and stiffness of joint in an antagonistic pneumatic artificial muscle (PAM) actuator system using only pressure measurements absence external force, clarifies allowable references PAM system. To achieve sensorless control, proposed estimates contraction forces unscented Kalman filter that employs detailed model Unlike previous meth...

In this study, an induction motor (IM) drive based on speed-sensorless predictive torque control (PTC) is designed to perform the high-performance of IMs by utilizing least mean square (LMS) algorithm for adaptation mechanism model reference adaptive system (MRAS). Here, MRAS with LMS stator currents (i_sα and i_sβ) IM. Moreover, rotor fluxes (φ_rα φ_rβ) are obtained current model, which requir...

In the speed sensorless vector control system, the amended method of estimating the rotor speed about model reference adaptive system (MRAS) based on radial basis function neural network (RBFN) for PMSM sensorless vector control system was presented. Based on the PI regulator, the radial basis function neural network which is more prominent learning efficiency and performance is combined with M...

in this paper, a neural network model reference adaptive system speed observer is designed, which can be used in speed control of linear induction motors (lims). dynamical equations of lim have been considered accurate. in other words, the end effect and the electrical losses of the motor have been included in the motor equivalent circuit. then equations of the reference model and adaptive mode...

This paper presents an efficient and robust control scheme of Fuzzy Logic Electronic Differential Controller (FLEDC) for sensorless drive based electric vehicle. The proposed system consists of two Brushless DC motors (BLDC) that ensure the drive of the two back driving wheels of an electric vehicle. Electronic differential controller (EDC) ensures the maximum torque and it can control both the...

Abstract Process force determines productivity, quality, and safety in milling. Current approaches of process design often focus on a priori optimization. In order to enable online optimization, the establishment active controllers is required. Due fast-changing engagement conditions tool conjunction with slower machine dynamics, classic control not suited. A promising approach application mode...

this paper presents a simple model predictive control (mpc) approach to control the power injection system (pis) for renewable energy applications. a dc voltage source and a single-phase inverter that is connected to the grid by an lcl filter form the pis. grid voltage is considered a disturbance for the system. for eliminating this disturbance, a modified model is proposed. it is usual to cont...