Design of ANN-optimized Second Order Sliding Mode Control of Switched Reluctance Motor for Aircraft Actuators

Abstract

Switched reluctance motors are desirable option for aerospace applications to meet more elec tric aircraft (MEA) strategy because of their high torque-to-inertia ratio, compact size, fault tolerance and robustness. Even though, the currently existing aircraft actuators are reliable they are heavy weight, rigid and slow response time. Aircraft actuator applications require high reliability and high-power density while aiming to decrease weight, complexity, opera tional costs and environmental impacts. Electric actuators system can be operated efficiently over mechanical, hydraulic or pneumatic systems by using high-performance electric motors with suitable power converter and optimal control strategy. This study proposed new control strategy SRM drive used in aircraft actuators. It utilized a cascade control system of ANN optimized second order sliding mode control (SOSMC) which was designed to handle the non-linearity and parameters uncertainty in SRM. The particle swarm optimization (PSO) technique was used for tuning SOSMC parameters. Simulation of the proposed system was tested and analyzed by MATLAB/SIMULINK software at no load test, under loaded test, time varying load and with disturbance conditions. To show the effectiveness of the proposed controller, the comparison was done with SMC and SOSMC controllers. Thus, the proposed controller shows good transient response with the rise time and settling time advancements of 3.7% and 4.1% respectively using ANN-SOSMC controller compared to both SMC and SOSMC controllers under loaded condition. The SMC controller encountered the chattering effect at the steady state response but it showed similar transient response rise and settling time with that of SOSMC. The torque ripple was reduced by 9.9% with ANN-SOSMC when compared with the SOSMC controller. Generally, the proposed controller outperformed both the SMC and SOSMC controllers performance.