Predictive Functional Control for Linear Systems under Partial Actuator Faults and Application on an Injection Molding Batch Process

Abstract

Actuator faults commonly exist in process control systems. Due to these faults, the controller may not achieve the required target, so the control performance may degrade. In this paper, the fault-tolerant control is designed through a predictive functional control framework to deal with partial actuator faults and unknown disturbances, which exist widely in process control systems. Based on a new state space formulation of the process models, an improved predictive functional control scheme is proposed, where satisfactory closed-loop control performance is achieved even with unknown disturbances and actuator faults. With the actuator faults, the system becomes a process with parameter uncertainties. Hence, a sufficient condition that guarantees closed-loop robust stability is presented. Simulations are given to illustrate the feasibility and effectiveness of the proposed scheme.

Design of state space linear quadratic tracking control using GA optimization for batch processes with partial actuator failure

“…[8][9][10][11][12][13]. It is seen that responses of IMC-2 are not as good as those of IMC-1 and the proposed LQ.…”

“…Research on FTC has achieved considerable progress [2][3][4][5]. For batch processes, fault detection/diagnosis and control results are relatively limited due to the immature supporting technologies [6][7][8][9]. It is also bad news that traditional analysis, synthesis and learning-type controllers may not be very effective since there exist both non-repetitive time-invariant and time-varying disturbances for actuator failures.…”

Intelligent Injection Molding on Sensing, Optimization, and Control

“…erefore, the development of injection molding process control has gradually transferred from the traditional continuous-control strategy to control strategies that focus on batch-direction characteristics. e research group of Gao F has made great advances in this field [144,[162][163][164][165][166][167][168][169][170][171][172][173][174][175]. is section will introduce the application of two typical strategies in injection molding-traditional feedback control and iterative learning control-and summarize and analyze them.…”

Dynamic matrix control optimization based new PIPD type control for outlet temperature in a coke furnace

“…In view of these, model predictive control (MPC) can be a suitable choice and has been intensively studied [21][22][23][24][25][26][27][28]. However, though MPC has low requirements for process model accuracy and its control performance is good [29][30][31][32][33][34][35], its implementation is not as simple as PI-PD controller.…”