Work

Wireless Protocol-Based Control of Smart Electric Drive Using Sampled Time Secure Communication of Chaotic Systems

Year: 2025

Type: article

Abstract: This paper presents a novel smart electric drive control system that enables fully wireless bidirectional communication between the controller, power supply, and sensors to facilitate real-time data sharing. The primary challenge in such systems arises from cybersecurity threats in wireless communication, requiring secure encryption and synchronization mechanisms to prevent data interception and tampering. To ensure secure transmissions, a chaos-based encryption scheme is implemented using the Liu chaotic system, formulated in the Takagi-Sugeno fuzzy (TS fuzzy) model to simplify computational complexity in synchronization control. A sliding mode control (SMC) strategy is designed to provide robust tracking performance, ensuring system stability under parameter variations and disturbances. To further enhance the control precision, a homogeneous super-twisting algorithm (HSTA)-based disturbance observer (DO) is introduced, effectively compensating for external perturbations and ensuring smooth operation. The DO also allows the use of a smaller SMC gain, which helps reduce chattering while maintaining control robustness. The Lyapunov stability theory is applied to rigorously analyze the system’s stability, confirming the reliability of the proposed approach in wireless motor control applications. The system is experimentally validated on ESP32 microcontrollers, demonstrating fast response times, minimal steady-state error, and real-time secure motor control. Performance evaluation using speed response signals confirms the effectiveness of the proposed control and encryption techniques, making it suitable for industrial automation and IoT-driven motor control systems.

Source: IEEE Access

DOI: 10.1109/access.2025.3569571

Authors: Nhat Quang Dang, Huyen Chau Phan Thi, Quang Dich Nguyen, van Nam Giap

Institutions: Trường Đại học Khoa học và Công nghệ Hà Nội, Hanoi University of Science and Technology

Language: English

Topic: Sensorless Control of Electric Motors

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,075