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Keywords

• adaptive sliding mode control (A-SMC)
• adaptive threshold
• Advanced Control
• artificial intelligence
• automotive electric powertrain
• brushless direct current motor drive system
• BSAII
• cascade control
• clutch actuator
• current control
• deadbeat predictive control
• E-REV
• eddy current position sensor
• electromechanical coupling
• energy management
• equivalent input disturbance
• estimation
• Euclidean distance
• FIR filter
• fractional order control
• fractional order proportional-integral-differential (FOPID)
• Hall sensor
• Hall sensors
• harmonic torque reduction strategy
• high-frequency square-wave voltage injection
• History of engineering & technology
• hybrid electric vehicles (HEVs)
• I-f control strategy
• I-f startup strategy
• indirect vector control
• induction motor
• inductive position sensor
• industrial application
• integrated electric drive system
• lyapunov approach
• maglev train
• magnetoresistive position sensor
• mode transition
• Model Predictive Control
• motor drives
• multi-source data fusion
• neural fuzzy controller
• Nonlinear systems
• overhead transmission line
• parameter identification
• permanent magnet synchronous motor
• PI observer
• PMLSM
• PMSM
• PMSM drive
• position control of motor
• position sensorless control
• power converters
• Power electronics
• quantized
• RBFNN-based self-tuning PID controller
• real-time implementation
• resolver
• robustness
• rotor position sensor
• safe distance
• second-order sliding mode control
• sensor
• sensorless control
• Sliding mode control
• sliding mode observer
• synergetic control
• Technology, engineering, agriculture
• Technology: general issues
• time delay
• UAV inspection

Links

DOI: 10.3390/books978-3-03943-700-9

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