This study proposes a new design method for the consensus control of multi-agent systems with quantized signal communication. When the static quantizer used, the performance of the consensus control is deteriorated depending on the quantizing level. In a conventional method, the quantization is implemented the probability function. On the other hand, in the proposed method, the dynamic quantizer is introduced, and it is optimally designed. As a result, the consensus control performance is improved. Finally, the effectiveness of the proposed method is demonstrated through numerical examples.