Particle Swarm Optimized Fuzzy Controller for Indirect Vector Control of Multilevel Inverter Fed Induction Motor
The Particle Swarm Optimized (PSO) fuzzy controller has been proposed for indirect vector control of induction motor. In this proposed scheme a Neutral Point Clamped (NPC) multilevel inverter is used and hysteresis current control technique has been adopted for switching the IGBTs. A Mamdani type fuzzy controller is used in place of conventional PI controller. To ensure better performance of fuzzy controller all parameters such as membership functions, normalizing and de-normalizing parameters are optimized using PSO. The performance of proposed controller is investigated under various load and speed conditions. The simulation results show its stability and robustness for high performance derives applications.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Optimization of Fuzzy Controller of a Wind Power Plant Based on the Swarm Intelligence
The article considers the problem of the optimal control of a wind power plant based on fuzzy control and automation of generating the fuzzy rule base. Fuzzy rules by experts do not always provide a maximum power output …
Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming
Autonomously training interpretable control strategies, called policies, using pre-existing plant trajectory data is of great interest in industrial applications. Fuzzy controllers have been used in industry for decades …
reinforcement-learningReinforcement LearningReinforcement Learning (RL)Improved-salp swarm optimized type-II fuzzy controller in load frequency control of multi area islanded AC microgrid
The present article deals with load frequency control (LFC) in an islanded two area AC microgrid (MC) system. In this study the proposed two area MG system comprises different micro sources including Micro-turbine (MT)…
Color Image Segmentation using Adaptive Particle Swarm Optimization and Fuzzy C-means
Segmentation partitions an image into different regions containing pixels with similar attributes. A standard non-contextual variant of Fuzzy C-means clustering algorithm (FCM), considering its simplicity is generally us…
ClusteringEvolutionary AlgorithmsImage SegmentationSegmentation+1Voltage Stabilization of A DC-Microgrid Using ANFIS Controller Considering EVs, DER, and Transient Storage
In this paper, a DC microgrid will be considered to optimize the operation of this microgrid under a combination of Fuzzy and metaheuristic algorithms. Keywords: DC Microgrid, Fuzzy Inference System, Stochastic Power Res…