Compound sliding-mode predictive control for a temperature system of high-speed heat-airflow wind tunnel

Abstract

The mathematical model of the temperature system under the mode of the proportional throttle valve control and the variable frequency pump control is established, respectively. A compound control strategy that consists of a compensation controller and a sliding-mode predictive feedback controller is designed. The compensation controller, which takes the change of the wind speed as parameter, is used to eliminate the impact on the system caused by the change of the working conditions (wind speed); the sliding-mode predictive feedback controller is used to solve the problems in the system such as time delay, time-varying parameters and disturbance. In order to solve the problem of temperature disturbance caused by the mode switch between pump control and valve control and the oil-rich combustion phenomenon in the high-temperature case, a method takes the ramp signal in which the slope is adjustable as a temperature setting signal is proposed. The experimental results show that the designed strategy obtains a satisfactory control performance and can achieve the temperature control with fast response time and no overshoot. In addition, it takes the ramp signal in which the slope is adjustable as the temperature setting signal can achieve the undisturbed switching control of the temperature and prevent the oil-rich combustion effectively.

Keywords

High-speed heat-airflow wind tunnel temperature control sliding-mode predictive control undisturbed switching control

Get full access to this article

View all access options for this article.

References

Zhao

Liao

Chen

. 1700 ℃ hot wind tunnel for thermal calibration. Aviat Measur Test Technol 2000; 20(4): 3–6.

Zhang

Ren

. Cascade control of superheated steam temperature with neuro-PID controller. ISA Trans 2012; 51(6): 778–785.

Moradi

Bakhtiari-Nejad

. Improving boiler unit performance using an optimum robust minimum-order observer. Energy Convers Manag 2011; 52(3): 1728–1740.

Han

Zhang

. The application of immune genetic algorithm in main steam temperature of PID control of BP network. Phys Proc 2012; 24(Part A): 80–86.

Dong

Huang

Zhang

. Saturated output feedback dissipation steam temperature control for the OTSG of MHTGRs. IEEE Trans Nucl Sci 2011; 58(3): 1177–1190.

Widd

Ekholm

Tunestål

. Physics-based model predictive control of HCCI combustion phasing using fast thermal management and VVA. IEEE Trans Control Syst Technol 2012; 20(3): 688–699.

Cipollone R and Villante C. Vehicle thermal management: a model based approach. In: Proceedings of ASME internal combustion engine division, Long Beach, CA, 2004, pp.85–95.

Setlur

Wagner

Dawson

. An advanced engine thermal management system: nonlinear control and test. IEEE/ASME Trans Mechatron 2005; 10(2): 210–220.

Salah

Mitchell

Wagner

. Nonlinear control strategy for advanced vehicle thermal management systems. IEEE Trans Veh Technol 2008; 57(1): 127–137.

10.

Salah

Mitchell

Wagner

. A smart multiple-loop automotive cooling system-model, control, and experimental study. IEEE/ASME Trans Mechatron 2010; 15(1): 117–125.

11.

Yuan

. Application of PID parameter setting based on a genetic algorithm in a high-temperature multiphase flow wind tunnel. J Eng Therm Energy Power 2010; 25(4): 414–417.

12.

Kim

. Design of incremental fuzzy PI controllers for a gas-turbine plant. IEEE/ASME Trans Mechatron 2003; 8(3): 410–415.

13.

Peng T. Research on variable frequency pump control motor speed governing and compensation characteristics. PhD Thesis, Zhejiang University, China, 2003.

14.

Liu

Zhang

. Flow rate predictive control for volumetric type of fuel oil supplying system driven by variable frequency induction motor. Hydraul Pneumat Seals 2011; 31(2): 52–56.

15.

Van den Broeck

Diehl

Swevers

. A model predictive control approach for time optimal point-to-point motion control. Mechatronics 2011; 21(7): 1203–1212.

16.

Zhao J, Diehl M, Longman R, et al. Nonlinear model predictive control of robots using real-time optimization. In: Proceedings of the AIAA/AAS astrodynamics conference, Providence, RI, 2004.

17.

Anwar

. Generalized predictive control of yaw dynamics of a hybrid brake-by-wire equipped vehicle. Mechatronics 2005; 15(9): 1089–1108.

18.

Saif

Ebrahimi

Vali

. A second order sliding mode strategy for fault detection and fault-tolerant-control of a MEMS optical switch. Mechatronics 2012; 22(6): 696–705.

19.

Han

Lee

. Adaptive dynamic surface control with sliding mode control and RWNN for robust positioning of a linear motion stage. Mechatronics 2012; 22(2): 222–238.

20.

Camacho

Rojas

Garcia-Gabin

. Some long time delay sliding mode control approaches. ISA Trans 2007; 46(3): 95–101.

21.

Ding

Zhang

. Sliding mode predictive controller for a ship boiler steam pressure system. J Harbin Eng Univ 2010; 31(08): 1039–1042.

22.

Garcia-Gabin W, Dorado FD and Camacho EF. Sliding mode predictive control for chemical process with time delay. In: 16th IFAC world congress, Prague, Czech Republic, 2007, pp.468–471.