choice for applications prioritizing simplicity and
cost. Its reduced computational overhead translates
into lower power consumption in specific contexts,
such as basic motor-driven appliances.
Finally, dynamic adaptation of control parameters
further enhances efficiency. Motor controllers can
adjust parameters in real time to maintain optimal
performance by monitoring conditions such as
load variability and temperature. Similarly, thermal
management is an important consideration, as high
temperatures can increase losses in motor windings
and lead to less efficient operations.
Looking ahead, the industry is exploring the
integration of artificial intelligence (AI) and machine
learning (ML) into motor control systems to predict
operational inefficiencies and enable preemptive
adjustments. These advancements will further
optimize power usage by dynamically adapting to
changing conditions, reducing waste, and extending
system lifespans.
C h a p t e r 2 | P o w e r E f f i c i e n c y
The power stage has switching,
conduction, deadtime, and
gate driver losses. Minimizing
these losses—for example,
by using optimized PWM
patterns—significantly
improves energy efficiency."
Lei Han
Principal Systems Engineer, Qorvo
13
10 Experts Discuss the Fundamentals of Motor Control
