This paper presents an extensive review of the incorporation of Super-Twisting Sliding Mode Control (STSMC) with Fuzzy Logic Control (FLC) and time-varying sliding surfaces (SS). The objective of this study is to improve the reliability, flexibility, and overall effectiveness of control systems by addressing common drawbacks found in traditional SMC techniques, such as chattering and susceptibility to disturbances. The proposed approach integrates the continuous control actions of the super-twisting algorithm (STA), the adaptive capabilities of fuzzy logic, and the dynamic adjustments of time-varying SS’s to enhance system performance in the presence of changing conditions. Detailed mathematical modeling, simulations, and real-time experimental validations have demonstrated significant improvements in dynamic performance metrics. These improvements include reduced rise and settling times, minimized steady-state error, and enhanced disturbance rejection. The results demonstrate the potential of this integrated control strategy to achieve improved operational performance and responsiveness across a range of applications. The paper further explores the challenges associated with real-time implementation and scalability. It also proposes potential avenues for further research, including the improvement of computational algorithms, the enhancement of system robustness, and the development of cost-effective solutions to facilitate wider adoption. The survey emphasizes the potential of STSMC and FLC-based time-varying SS’s as an effective and flexible control strategy. This research contributes to the progress in various control system applications.