Abstract: Taking the clutch engagement process of an automotive mechanical automatic transmission (ATM) system as the research object, a mathematical model of a dual-input nonlinear power transmission system is established. Furthermore, based on the feedback linearization method of differential geometry, the original nonlinear system is equivalent to a fully controllable linearized model. PID control is implemented on the system to track the ideal vehicle acceleration, and computer simulation is performed. Simulation and analysis results show that the system is stable and has good tracking performance. Keywords: Electronic clutch; Feedback linearization; Nonlinear control Compared with electronically controlled hydraulic torque converter automatic transmissions (AT), mechanical automatic transmissions (ATM) have advantages such as high transmission efficiency, low cost, ease of manufacturing, and convenient use, thus having a broad market prospect. Regarding the comprehensive control of ATM, the automation of clutch operation is key to realizing ATM. Ge Anlin et al. used a comprehensive index single-objective optimization method to analyze the influence of load and road slope on engagement characteristics. Tanaka and Shen Shuiwen et al. conducted fuzzy control research on the clutch engagement process. WU et al. also conducted stability analysis on the fuzzy control of the clutch, but the effect still cannot meet the requirements of clutch control. At the same time, reasoning rules based on experience cannot reach the essence of system dynamics. Due to the strong nonlinearity, time-varying parameters, and lag in the dynamic modeling of the clutch engagement process, achieving satisfactory control remains a major challenge in the development of current electronic clutch control technology. Other vehicle controls (such as ABS, ASR, 4WS, 4WD, etc.) also face similar problems. While a fairly complete theoretical system has been established in the field of linear system control, direct control is not ideal for physically systems with strong nonlinearity. To overcome this difficulty, nonlinear analysis tools such as manifolds and differential homeomorphisms can be used. This paper establishes a nonlinear dynamic model of the electronic clutch engagement process based on the nonlinearity of engine output, uses the feedback linearization method of differential geometry to linearize the nonlinear system, and proposes a corresponding control strategy. [b][align=center]For more details, please click: Feedback Linearization Control of Automotive Electronic Clutch[/align][/b]