laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. therefore, it is widely adopted for complex industrial process control. in this work, laguerre function based adaptive model predictive control algorithm (ampc) was implemented to control continuous stirred tank rea...

This study investigates the impact of position information on torque performance for an interior permanent magnet synchronous motor (IPMSM) driven by finite set–predictive control (FS-PTC). Unlike induction machines, IPMSMs are significantly sensitive to rotor during operation owing rotor. Any misalignment or displacement frame (d-q) can lead poor prediction drive because predictive requires sp...

today, companies need to make use of appropriate patterns such as supply chain management system to gain and preserve a position in competitive world-wide market. supply chain is a large scaled network consists of suppliers, manufacturers, warehouses, retailers and final customers which are in coordination with each other in order to transform products from raw materials into finished goods wit...

The pillar shaping work of solid rocket motors involves complex trajectory tracking and force control problems, which are dangerous by manual operation. In this paper, a position method based on MPC is proposed, the admittance used to realize local compliance manipulator contact force. numerical simulation, tracks given shows suppleness in with environment presence external forces. Simulations ...

The dual power flow wind energy conversion system (DPF-WECS) is a novel system which is based on the electrical variable transmission (EVT) machine. The proposed sensorless control for the DPF-WECS is based on the model reference adaptive system (MRAS) observer by combining the sliding mode (SM) theory. The SM-MRAS observer is on account of the calculations without the requirement of the propor...

This paper deals with the whole body motion control problem of humanoid robots by using automatic and bilateral control methods. Advanced motion controllers are proposed so that human daily life activities, such as walking on an uneven terrain and contacting an unknown object, can be performed. It is shown that the uncertainty of environmental impedance variation is one of the main challenging ...