Abstract: Initiation of active regeneration of diesel particulate filter(DPF) requires that the diesel engine exhaust gas temperature be raised to 500℃ or above and maintained at the operating temperature for a moderately long period of time. To reduce the uncertainties by time-delays and strong disturbances of the control object and risks of active regeneration caused by high exhaust temperature, an optimized regeneration temperature control algorithm and controller structure are proposed based on model-based control strategy development, and simulation analysis and parameter optimization are carried out. Considering practical application requirements, the designed control structure adopts the scheme of gain compensation, feedforward solution and feedback control based on engine exhaust temperature and exhaust flow, which takes account of both cost and performance and has strong adaptability and operability. The results of simulation, bench test and vehicle road test show that the overshoot of actual exhaust temperature control in active regeneration process is less than 3% and the steady-state control error remains less than 25℃ even under aggressive disturbances during transient vehicle operation

Key words: diesel particulate filter, active regeneration, exhaust temperature control, model-based control algorithm development