Control Strategy of Glass-Lined Batch Polymerization Reactor for PVC Resin Industrial Process

摘要

A well accepted control strategy, enhanced cascade control scheme of glass-lined batch reactor has been developed for PVC resin industrial process. With (i) Split range controller of cascade control scheme act as a local controller for manipulating the jacket temperature of reactor by pumping +10°C, cooling water or if necessarily chilled media, diethylene glycol maintained at -38°C. (ii) A Soft computing technique as adaptive neurofuzzy inference system (ANFIS) has been implemented for manipulating the uncertainty in the jacket temperature. The efficiency and robustness of the proposed method have been demonstrated through simulations and real time data. Closed loop response of PVC resin model compared with experimental and other literature models, shows good agreement. Only slight variations can found in Masoud Soroush & Costas Kravaris (1992) and Kiparissides et al. (1997) works due to variation in the operating temperature value. Performance analysis of the control strategy for PVC resin referred process has been discussed. Good tracking of the set point, disturbance rejection and robustness at different operating points in the cascade controller has been shown. The performance of all the controllers for set point changes have been evaluated, using IAE and ISE criteria.