Abstract:To address the challenge of temperature uniformity control in paper drying ovens， this study proposed a distributed temperature control system integrating fiber bragg grating (FBG) sensing with dynamic predictive technology， overcoming limitations of traditional thermocouples such as response lag and low spatial resolution. A 3D virtual temperature field model was established and combined with a sparse FBG sensor network (3 400 measurement points) and a natural neighbor dynamic reconstruction algorithm， achieving high-precision temperature field reconstruction (RMSE： 1.5 ℃). A zoned predictive control strategy was designed. Dynamic PI algorithms were employed to optimize thermal inertia compensation and multi-zone coordinated control， reducing steady-state errors to within ±1.5 ℃， accelerating response speed by 30%， and lowering energy consumption by 18%. Experimental results demonstrated robust performance under extreme conditions (e.g.， sudden heater failure， high-speed paper feed)， maintaining 80% coverage of the 85 ℃ isothermal surface and suppressing temperature gradients by over 40%.
