Under the dynamic shadow, the traditional MPPT algorithm is easy to fall into the local extremum, while the MPPT control implemented by the conventional Particle Swarm Optimization (PSO) algorithm is easy to introduce a large shock to the system. To solve the problems above, an adaptive MPPT control strategy based on the improved Chaotic Particle Swarm Optimization (AEM-CPSO) algorithm is proposed. The algorithm performs chaotic search on the first three iterations of the particle, which makes the particle have global ergodicity in the initial state. The adaptive elite strategy is used in the late phase of particle search to mitigate the problem of late oscillation of the algorithm. Simulation results show that AEM-CPSO algorithm is superior to traditional methods in global search, tracking speed and transient stability. This work is supported by Basic Public Benefit Research Program of Zhejiang Province (No. LGF18F020017).