DocumentCode :
1909306
Title :
A new adaptive MPC system
Author :
Zhu, Yucai
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
fYear :
2011
fDate :
23-26 May 2011
Firstpage :
447
Lastpage :
449
Abstract :
Current generation of industrial MPC technology has two main disadvantages: 1) it is very costly to implement and to maintain an MPC system; 2) the performance in disturbance reduction is low. To solve these two problems, an adaptive MPC technology is introduced. It consists of three modules, a Control Module, an Identification Module and a Monitor Module. It can perform various steps of an MPC project automatically and in a parallel manner. Thus, the efficiency of MPC commissioning and maintenance can be increased by a factor of 3 or more. In the MPC Control Module, an adaptive disturbance model is used to improve control performance and robustness. A prototype of the adaptive MPC system has been applied successfully to a PTA unit. Due to its simplicity and user friendliness, this technology may change the way MPC is applied and can make MPC feasible for all process industries, not just the refining/petrochemical industry. Recent tests have shown that the adaptive disturbance model can increase control performance considerably. A traditional adaptive MPC controller performs sample-wise identification and adaptation of both process models and disturbance models without monitoring the test condition and model quality. The new adaptive MPC system is very different from the traditional adaptive control: the process model is adapted on demand (when activated by the Monitor Module) where test signals are used in model identification; the disturbance model is adapted sample-wise without using test signals. We believe that this new scheme is more adequate for the control of large scale industrial processes than the traditional adaptive controller.
Keywords :
adaptive control; predictive control; process control; stability; adaptive MPC system; adaptive disturbance model; control module; control robustness; disturbance model; identification module; industrial MPC technology; large scale industrial process; monitor module; process industry; process model; Adaptation model; Control systems; Load modeling; Maintenance engineering; Monitoring; Process control; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Control of Industrial Processes (ADCONIP), 2011 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-7460-8
Electronic_ISBN :
978-988-17255-0-9
Type :
conf
Filename :
5930469
Link To Document :
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