Event-based predictive control of pH in tubular photobioreactors

摘要: Abstract This work presents the application of an event-based model predictive control algorithm to regulate pH in a microalgae production process. The aim is maintain within specific limits and minimize CO 2 losses. scheme based on Generalized Predictive Control (GPC) with sensor deadband approach. In this algorithm, controller execution frequency adapted process dynamics. works low sampling if controlled variable, case, inside established band. Otherwise, when value outside band, actuation increased try drive it quickly near setpoint selected tolerance. such way, allows establish tradeoff between performance number update actions. fact can be directly related reduction injection times, what also reflected structure first evaluated through simulations using nonlinear for microalgal tubular photobioreactors. Afterwards, real experiments are presented industrial photobioreactor order verify results obtained simulations. Additionally, tests plant used case plant-model mismatch, presence measurement noise disturbances. Moreover, compared classical time-based solutions well-known indexes.