Control Design

We offer controller design and tuning based on the most recent advancements in control theory.  We utilize conventional classical control using PID controllers for majority of our industrial projects.  However, if the client desires superior performance, we offer Model Predictive Control, Optimal Control, Feedback linearization, Heuristic Dynamic Programming, Neural-network-based Controllers and Models, Adaptive Control, Q-learning, and any other demanded traditional and reinforcement learning control.  In addition, specific to power electronics, we offer a variety of switching pattern generation methods including multi-phase space vector modulation, vector control, direct torque/power control, sensored and sensorless control of machines, drive of induction, reluctance, synchronous, dc, and linear machines, multi-level inverter modulation, optimal energy management, energy planning, optimal dispatch of multi-port converters, virtual-inertia control, V2G and G2V.

We offer modeling, simulation, and tuning of our systems using Matlab™ and/or PLECS™ depending on client’s preference.  Additionally, we offer a variety of digital filter design, sampling noise reduction, Kalman filtering, … to accommodate client’s needs in harsh industrial, transportation, and military applications.  In addition to soft-files, we offer training and technology transfer to our clients’ teams.