Piecewise Adaptive Sliding Mode Control for Aeroengine Networked Control Systems with Resource Constraints

Bin Zhou,Hao Wang,Yu Zhang,Lei Wang,Shousheng Xie,Litong Ren,Ledi Zhang

doi:10.1155/2019/8693780

Bin Zhou, Hao Wang + Show 5 more

Open Access

https://doi.org/10.1155/2019/8693780

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Abstract

Within the future application of wireless network for the aeroengine control problem, resource constraints (caused by the limitation of hardware) and network traffic restriction must be considered as one of the difficulties to be solved; thus, the network connection and transmission efficiency can be ensured. With focus on the problem of active packed dropout, a MEF-TOD (Maximum Error First-Try Once Discard) scheduling based network parameter and sliding mode joint design method has been proposed. First, a scheduling protocol strained control system and network parameter joint model have been established based on MEF-TOD scheduling strategy, taking sampling period and data packet capacity as unknown network parameters. Subsequently, considering the influence of scheduling strategy, a sliding surface containing a compensation term has been designed, and then a sliding mode parameter and unknown network parameter heuristic joint design method has been developed. Finally, an attenuation factor based piecewise adaptive sliding mode strategy has been designed considering the influence of sampling period on system performance. Simulation results indicate that the joint design method can obtain the network parameter group which has the minimum performance function upper bound, thus achieving relatively high network utilization. The proposed piecewise adaptive sliding mode controller has good dynamic performance and is robust to the packet dropout problem caused by network scheduling and can effectively suppress chattering.

Highlights

Modern aircraft are expected to be tolerant of complicated flight condition and to work throughout more signal communication, the result of which is that the system shows more complexity
Focusing on the active packet dropout problem in scheduling strategy and robust performance of sliding mode control, this paper proposes a new joint design method based on MEF-TOD network parameters and sliding mode control
For one type of aeroengine networked control system with resource constraints, a joint design method for network parameters and sliding mode control based on piecewise adaptive reaching law is presented

Summary

Introduction

Modern aircraft are expected to be tolerant of complicated flight condition and to work throughout more signal communication, the result of which is that the system shows more complexity. In summary, it is necessary to design controllers with network parameters in consideration of (1) the scheduling of both sensor and control signals; (2) the influence of the sampling period on QoS; (3) MIMO systems; (4) the active packet dropout; and (5) dynamic scheduling with more than one node accessible in the bus network. Focusing on the active packet dropout problem in scheduling strategy and robust performance of sliding mode control, this paper proposes a new joint design method based on MEF-TOD network parameters and sliding mode control. For the MEF-TOD scheduling strategy, the influence of active packet dropout on system performance is analyzed, and transmissions of state and control messages with resource constraints are modeled.

Joint Design of Sliding Mode Surface Gain and Network Parameters

Simulation and Results Analysis

Conclusion