Modeling, Analysis, and Advanced Control in Motion Control Systems - Part III

• The April 2017 of IEEE Transactions on Industrial Electronics presents a Special Section on Modeling, Analysis, and Advanced Control in Motion Control Systems. This part of the Special Section consists of 17 papers which cover different applications on motion control systems. An article provides a novel disturbance observer- based nonlinear triple-step controller to attenuate the influence of cogging torque in low-speed condition for a permanent magnet dc motor. Considering that the cogging torque is a fast time-varying disturbance and changes harmonically, a reduced-order nonlinear observer is designed to estimate it. Another aticle considers the contouring control design problem for an industrial X–Y linear-motor-driven stage system. Based on the global task coordinate frame, combining iterative learning control with adaptive robust control together, a kind of learning adaptive robust control method is developed to suppress parametric uncertainties and disturbances. One article develops a novel controller based on adaptive servomechanism to achieve precise tracking for pneumatic muscle actuators whose model has nonlinear and time-varying characteristics. The driving force allocation and control problem for electric vehicles with multiple driving motors are studied in another paper. One paper focuses on a control system design for the oil well sonic logging device. The removal of ringing is desirable for acoustic logging as too much ringing can interfere with the processing of formation data.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Nyckelord

Acoustic logging

Control system analysis

Control systems

Controllers

Data handling

DC motors

Industrial electronics

Iterative methods

Linear motors

Motion control

Oil well logging

Oil wells

Permanent magnets

Pneumatic actuators

Pneumatic equipment

Robust control

Torque

Traction motors

Adaptive robust control

Disturbance observer

Iterative learning control

Non-linear observer

Parametric uncertainties

Permanent magnet DC motors

Pneumatic muscle actuators

Time-varying characteristics

Electric machine control

Publikations- och innehållstyp

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