2A1-E22 強化学習を用いたレトロフィットデバイスの制御

概要

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Recently, the demand of exhaust gas purification to a car is increasing. A diesel particulate filter (DPF) is promising as a solution for exhaust gas from a diesel engine of an in-use vehicle. However, under a condition of low load such as running in a city area, DPF cannot demonstrate an original performance. In order to demonstrate an original performance, it is required for a vehicle to exhaust gas which temperature should be more than fixed. Therefore, we try to raise exhaust gas temperature by restricting the flux of a valve where air inhales and gas exhausts. We use the reinforcement learning as our target is an in-use vehicle with an individual difference. And, we apply tile coding (TC) for controlling the valve in order to have the reinforcement learning cope with the extensive search space.
一般社団法人日本機械学会の論文