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Application of Salp Swarm Optimization for PI Controller to Mitigate Transients in a Three-Phase Soft Starter-Based Induction Motor

机译:PI控制器的Salp群优化在基于三相软起动器的异步电动机中减轻瞬态的应用

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Induction motor (IM) has wide applications in both domestic and industrial appliances. However, the major drawback of IM is the occurrence of heavy inrush current at starting mostly due to switching on of a high inertial load. So, it is necessary to control this inrush current which may interrupt the smooth functioning of the system. A soft starter is a solid-state device that limits the sudden surge of current and gives a gradual build-up to full speed. Proportional integral (Pl)-based soft starter is a classical and linear one, so it fails to response to changing speed of the motor. So in this paper, a new heuristic salp swarm optimization (SSWO) technique is proposed which dynamically tunes the PI control parameters to respond correctly to the nonlinear nature of IM. SSWO is a nature-inspired meta-heuristic algorithm that imitates the swarming behaviour of salps when navigating and foraging in ocean. The SSWO-tuned Pi-controlled IM model along with a thyristor-based soft starter (SS) is designed using MATLAB/Simulink software and simulated to obtain minimum overshoot, rated current during the starting of the motor, a controlled voltage supply and a steady speed. Further, the distortion of the system with proposed SSWO-based PI and conventional PI controller is discussed through the total harmonic distortion (THD) calculation.
机译:感应电动机(IM)在家用电器和工业电器中都有广泛的应用。但是,IM的主要缺点是启动时会产生较大的浪涌电流,这主要是由于高惯性负载的接通引起的。因此,有必要控制该浪涌电流,这可能会中断系统的平稳运行。软启动器是一种固态设备,可限制电流的突然浪涌并逐渐累积至全速。基于比例积分(Pl)的软启动器是一种经典且线性的启动器,因此它无法响应电动机速度的变化。因此,本文提出了一种新的启发式小群优化(SSWO)技术,该技术可以动态调整PI控制参数以正确响应IM的非线性特性。 SSWO是一种自然启发式的元启发式算法,它模仿了在海洋中航行和觅食时小蜂的蜂群行为。使用MATLAB / Simulink软件设计了SSWO调谐的Pi控制的IM模型以及基于晶闸管的软启动器(SS),并对其进行了仿真,以获得最小的过冲,电机启动过程中的额定电流,受控的电源电压和稳定的电压。速度。此外,通过总谐波失真(THD)计算,讨论了具有建议的基于SSWO的PI和常规PI控制器的系统的失真。

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