Multi-Objective Complementary Control for Nonlinear Ship Condenser System

Traditional PID controllers are often used in marine condenser systems, but they have poor adaptability to complex nonlinear characteristics and struggle to meet different control objectives simultaneously, often creating conflicts between rapidity and stability, as well as between dynamic performance and robustness. To address these issues, this paper proposes a data-driven multi-objective complementary control (MOCC) method, which optimizes the rapidity, accuracy, and fault robustness of the condenser system respectively. The method employs feedback linearization to convert the nonlinear system into a linear one, then utilizes a decoupled control framework where a feedforward controller optimizes dynamic performance, a feedback controller enhances robustness, and a residual-driven Youla parameterization controller provides real-time fault compensation. Simulation results show that compared with traditional controllers, the system using the MOCC controller exhibits significantly reduced response time and overshoot, while maintaining stability in fault scenarios. This method provides a reliable solution for the control of marine condenser systems.