In order to verify the validity of the proposed CQCSO algorithm in the MPPT control and that the CQCSO algorithm is more efficient than QCSO algorithm and CSO algorithm, the small-scale MPPT control system based on the K60 microcontroller is built and shown in Figure 6, which is established in accordance with the configuration shown in Figure 4.
The parameters of the CSO, QCSO, and CQCSO algorithm are as follows: the total number of cats is 10, the mixture ratio (MR) is 0.2, the size of seeking memory pool (SMP) in the search group is 3, and the number of tracking loops in the tracking group is 3.
The parameters of the QCSO and CQCSO algorithms are consistent with Figure 8.
The experiment results show that the QCSO algorithm has obvious advantages over the CSO algorithm both in the case of a single peak and in the case of multiple peaks.
(1) Firstly, the quantum Cat Swarm Optimization (QCSO) algorithm is proposed.