Sentence examples for motor driven systems from inspiring English sources

The Motor Driven Systems (MDS) Conference being held at St . Johns Hotel Solihull, UK between 9 – 10 November 2011, will examine how a system's engineering approach to designing motor driven systems will result in the achievement of greater energy savings.

Last year the inaugural Motor Driven Systems' (MDS) Conference was held to create a debate on how to achieve energy savings by taking a systems' engineering approach to electric motors.

The proposed method can be applied to various types of motor drive systems.

Due to involvement of high-order transfer functions in dynamic models of individual motor drive systems, Pade approximation is used as a useful tool in the aggregation process.

Using the proposed aggregation method, an equivalent aggregated dynamic model of motor drive systems can be obtained at the substation bus.

There are two steps involved for the proposed aggregation method: (1) aggregate motor drive systems connected to the same bus, and (2) further combine the aggregated model of motor drive systems from Step 1 with upstream series impedance and/or transformers.

The use of multiple unit controllers for parallel processing of multi-unit motor drive systems can significantly reduce the execution time of the control algorithm.

Due to their advantages, poly-phase (more than three-phase) motor drive systems are becoming more popular and get more applications.

Digital Signal Processor (DSP -based motor control systems offer the control banDSP -basedt is required to motorpossible the development of advancontrolor drive systems foffermesthe appliancontrolications.

Considering the problems of parameter uncertainties and load disturbance appeared in induction motor drive systems, a discrete-time command filtered adaptive position tracking control method based on neural networks is proposed in this paper.

The focus of the paper is on the synthesis of nonlinear adaptive robust controllers for precision linear motor drive systems that achieve not only excellent output tracking performance but also accurate parameter estimations for secondary purposes such as machine health monitoring and prognostics.