Robust control

Since the real system cannot be modeled accurately, it cannot be represented by a single transfer function. Therefore, we define a model for design, estimate the range of uncertainty in the difference between the real system and the model, and design the control system by considering a plant set that includes all the variations within this range. Instead of considering the real system, if the stability and control performance of this plant set can be guaranteed, the stability and control performance of the real system can also be guaranteed. In this laboratory, we are studying the representation of plant sets, modeling of the range of variation, conditions for stabilizing plant sets, conditions for guaranteeing the control performance of plant sets, and design methods.

System integration for renewable energy power systems

The development of electric power systems using wind, solar and other energy sources is being actively pursued as an alternative to depletable energy sources such as petroleum. In this laboratory, we are studying the efficiency of such renewable energy systems and grid connection analysis from the viewpoint of system integration.

Networked control systems

With the recent development of communication technology, networked control systems (NCS), which are feedback control systems via communication channels, have attracted much attention. The elemental technology of NCS is the fundamental technology that achieves Soceity 5.0 (Japan) and Industrie 5.0 (German). NCS enables remote control of spatially separated control targets, and provides many advantages such as reduced wiring costs, simplification of equipment, and improved monitoring. However, NCS has some problems such as data delay and data dropout. We study how to solve these problems using predictive control, robust control, reinforcement learning, and machine learning methods with a model of the control target and a model of the network, and clarify the effectiveness of these methods through simulation and experiments.

Next-generation power networks

We are engaged in the following research to contribute to the expansion of renewable energy power generation with the aim of building a sustainable society.

Advanced control applications for power electronics

In recent years, power electronics technology has been required to achieve higher precision in a wide range of applications, from electric vehicles to industrial robots and aircraft. In this laboratory, we apply advanced control technologies such as prediction, estimation, and adaptation to power electronics technologies, including motor drives, to achieve higher performance.