tailieunhanh - Advanced Model Predictive Control Part 3

Tham khảo tài liệu 'advanced model predictive control part 3', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 3 Improved Nonlinear Model Predictive Control Based on Genetic Algorithm Wei CHEN Tao ZHENG Mei CHEN and Xin LI Department of automation Hefei University of Technology Hefei China 1. Introduction Model predictive control MPC has made a significant impact on control engineering. It has been applied in almost all of industrial fields such as petrochemical biotechnical electrical and mechanical processes. MPC is one of the most applicable control algorithms which refer to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. Linear model predictive control LMPC has been successfully used for years in numerous advanced industrial applications. It is mainly because they can handle multivariable control problems with inequality constraints both on process inputs and outputs. Because properties of many processes are nonlinear and linear models are often inadequate to describe highly nonlinear processes and moderately nonlinear processes which have large operating regimes different nonlinear model predictive control NMPC approaches have been developed and attracted increasing attention over the past decade 1-5 . On the other hand since the incorporation of nonlinear dynamic model into the MPC formulation a non-convex nonlinear optimal control problem NOCP with the initial state must be solved at each sampling instant. At the result only the first element of the control policy is usually applied to the process. Then the NOCP is solved again with a new initial value coming from the process. Due the demand of an on-line solution of the NOCP the computation time is a bottleneck of its application to large-scale complex processes and NMPC has been applied almost only to slow systems. For fast systems where the sampling time is considerably small the existing NMPC algorithms cannot be used. Therefore solving such a nonlinear optimization problem efficiently and fast has attracted strong research interest in recent .

TỪ KHÓA LIÊN QUAN
crossorigin="anonymous">
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.