Improved State Space Model Predictive Control Design for Linear Systems with Partial Actuator Failure
详细信息 查看全文
文摘
This paper presents a new state space model predictive control scheme for linear systems with partial actuator faults. To consider dealing with the uncertainties caused by actuator faults, the process is first treated into a nonminimal representation using state space transformation. Then the subsequent design of model predictive control is introduced to yield improved closed-loop control performance under unknown disturbances and actuator faults. The advantages of the proposed method over existing methods lie in the fact that the proposed control method can regulate both the process output/input changes in the design, which cannot be achieved by traditional state space model predictive control. For performance comparison, a traditional model predictive fault-tolerant control is also designed. Simulations are given to illustrate the feasibility and effectiveness of the proposed scheme.