{"title":"The polynomial approximation of the explicit solution of model-based predictive controller for drive applications","authors":"N. A. Ameen, B. Galal, R. Kennel, R. Kanchan","doi":"10.1109/PRECEDE.2011.6078733","DOIUrl":"https://doi.org/10.1109/PRECEDE.2011.6078733","url":null,"abstract":"The complexity of implementing the Explicit solution of Model-based Predictive Control (Exp-MPC) in drive applications results in a higher number of generated regions. This increases the required memory space to store these regions and the coefficients of the associated optimal control laws, even when the solution is implemented using an efficient algorithm like Binary Search Tree (BST). The proposed method aims to replace the optimal linear/affine control laws, defined over several regions of the feasible state space, with one polynomial. The polynomial will be multivariate, with higher order, and defined over a combination of feasible regions. Using the polynomial approximation, the necessary memory space, to store region coordinates and the coefficients of optimal control laws, is reduced significantly. Although the accuracy of the optimal controller is reduced with use of polynomial approximation, it makes the implementation more realistic; provided the stability and the feasibility of the problem is still guaranteed.","PeriodicalId":406910,"journal":{"name":"2011 Workshop on Predictive Control of Electrical Drives and Power Electronics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116180855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Jasiński, K. Rafał, M. Bobrowska-Rafal, S. Piasecki
{"title":"Grid interfacing of distributed energy sources by three-level BtB NPC converter under distorted grid voltage","authors":"M. Jasiński, K. Rafał, M. Bobrowska-Rafal, S. Piasecki","doi":"10.1109/PRECEDE.2011.6078684","DOIUrl":"https://doi.org/10.1109/PRECEDE.2011.6078684","url":null,"abstract":"This paper presents complete control algorithm for grid-connected Pulse Width Modulated (PWM) 3-level BtB (back to back) converter intended for industrial drives and renewable energy applications. The objective of control is to limit current harmonics distortion and provide ride through capability during voltage dips. Moreover, Maximum Power Point Tracking (MPPT) and Active Power Feedforward (PF) has been implemented end tested for optimizing energy flow control. Grid Side Converter (GSC) is controlled by Voltage Oriented Control (VOC) supported by synchronization loop with positive sequence extraction, resonant current controllers for higher harmonics compensation, grid voltage feedforward loop for dips compensation and DC voltage filter. At Machine Side Converter (MSC) Direct Torque Control Space Vector Modulated (DTC-SVM) has been used. Algorithm is tested in simulations and experiment from 3kVA up to 15kVA platform using three-level BtB NPC converter with LCL filter. Both controls of GSC and MSC are interacting by Power Feedforward for energy flow optimization between grid and active load.","PeriodicalId":406910,"journal":{"name":"2011 Workshop on Predictive Control of Electrical Drives and Power Electronics","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133764623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On stability and performance of finite control set MPC for power converters","authors":"R. Aguilera, D. Quevedo","doi":"10.1109/PRECEDE.2011.6078688","DOIUrl":"https://doi.org/10.1109/PRECEDE.2011.6078688","url":null,"abstract":"In the present work, we provide sufficient conditions for local practical stability for a specific class of power converters controlled via Finite Control Set Model Predictive Control which can be modeled as linear time-invariant systems with quantized input. In addition, we also establish bounds on the steady state behaviour of such systems. As illustrative examples, we apply our results to two converters, namely, a buck DC-DC converter, and a 2-level DC-AC inverter in a dq-coordinate frame.","PeriodicalId":406910,"journal":{"name":"2011 Workshop on Predictive Control of Electrical Drives and Power Electronics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134116454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}