This paper investigates a finite-control set model-predictive control (FCS-MPC) algorithm to enhance the performance of synchronous reluctance machine drive. Particular emphasis is placed on definition cost function enabling computationally light implementation while targeting good transient and steady-state performance. In particular, this work proposes inclusion an integral term into ensure z...

the present sought to draw a comparison between model predictive control performance and two other controllers named simple pi and selective pi in controlling large-scale natural gas transport networks. a nonlinear dynamic model of representative gas pipeline was derived from pipeline governing rules and simulated in simulink® environment of matlab®. control schemes were designed to provide a s...

Active power filter can compensate harmonic and reactive power, Three level neutral point clamp (ANPC) has the characteristics of low output device loss. The control three-level active needs to consider multiple objectives. Finite set model predictive (FCS-MPC) is a new method which add constraints multi-objective control. According limit switch state, it track reference current, fast dynamic r...

Finite Control Set Model Predictive (FCS-MPC), thanks to its simple and powerful concept, has been applied widely control the multilevel converters. FCS-MPC allows of several objectives can incorporate restrictions, even nonlinear, into mathematical model system under consideration. However, needs evaluate all switching states converter find best state be in next sampling time. For higher-level...

in this paper standing balance control of a biped with toe-joint is presented. the model consists of an inverted pendulum as the upper body and the foot contains toe-joint. the biped is actuated by two torques at ankle-joint and toe-joint to regulate the upper body in upright position. to model the interaction between foot and the ground, configuration constraints are defined and utilized. to s...