The output characteristics of photovoltaic (PV) array change with the environmental conditions and running state.In order to meet the control requirements of maximum power point tracking (MPPT) under different operation conditions,a sectional control method combining improved quantum particle swarm optimization algorithm（QPSO） and perturb-observe algorithm is proposed after analyzing the output characteristics of photovoltaic array under various working conditions.The inconsistent adaptive mutation DCWQPSO is used to search the maximum power point globally in the initial stage of tracking control to make the power point converge to the maximum power point quickly in order to improve the tracking speed, then the perturb-observe algorithm based on closed-loop fuzzy control is used to search the maximum power point locally to improve the tracking accuracy.The matlab simulation results show that the segmented control method can complete MPPT in only 0.32s under various working conditions of photovoltaic array and remains stable,which has faster tracking speed and higher tracking accuracy than others, so it can improve the efficiency of PV generation effectively.