Abstract: Aiming at the problem that the traditional maximum power point tracking technology can not track the global maximum power point under the special weather conditions such as partial shade,a MPPT control based on the improved slime mould algorithm is proposed. Firstly,the solar cell model and multi-peak characteristics are analyzed. Secondly,the leader strategy and the convex lens back learning strategy based on the optimal individual are introduced into the slime mould algorithm to improve the calculation accuracy and convergence speed of the algorithm and overcome the‘premature’phenomenon of the algorithm. Finally,according to the maximum power output characteristics of the photovoltaic array,the algorithm optimization model,initialization position and restart mechanism are determined respectively. The simulation and experimental results show that the MPPT control based on the improved slime mould algorithm can quickly and accurately track to the global maximum power point,effectively avoid falling into the partial optimal problem,and improve the output efficiency of the photovoltaic system.