Data-driven dual-channel event-triggered attitude control for helicopter with quantized information

In this paper, a dual-channel event-triggered quantized model-free adaptive control method for a three-degree-of-freedom helicopter attitude control system with limited communication resources is presented. First, the formulated dual-event triggering strategy integrates an input-triggered scheme and an output-triggered scheme to achieve semi-independent event-triggered control for the sensor-to-controller and controller-to-actuator channels, thereby further reducing communication frequencies. Second, a quantization mechanism is proposed to compress the control signals, thereby reducing the required communication bandwidth. Then, a dual-channel event-triggered quantized model-free adaptive control method is formulated, in which the accurate dynamics of the controlled helicopter are no longer needed. A stability analysis demonstrates that the control error of the controlled system is bounded by the designed method. Finally, the effectiveness of the proposed method is verified through simulation studies. • Design a dynamic dual-channel event-triggered communication mechanism. Compared with the existing event-triggered mechanisms, the tracking accuracy is improved, and unnecessary data transmission is further reduced. • Formulate a quantification mechanism for the helicopter output and tracking errors. Compared with existing methods, it significantly reduces the bandwidth required for communication by compressing data. • Develop a dual-channel quantized event-triggered model-free adaptive control method for a three-degree-of-freedom helicopter. Compared to existing control methods, it is a data-driven control method, where the dynamics of the controlled helicopter is no longer needed.