Pub Date : 2020-08-30DOI: 10.1109/CCECE47787.2020.9255723
Samuel Eneje, S. Sanni, C. F. Pereira
This study aims to investigate learning engagements in two social networks-blog and Facebook, used for engineering course as a scale-up handle to examine the students ‘participation in learning. The research question it used is finding the extent of studenf's engagement on the formal and the informal virtual learning sites. Engineering students' class' social network sites were used for the class activity and dataset was built from their interactions which further provides the social network analysis and statistical tool data to analyze metrics and properties. Collaborated groups were created by social network analysis. It investigated the connections of participants and unveiled network structure of participants' interactions. It found that a structured network such as Facebook are better suitable for learning interactions than a slapdash structured social network site. The study also found that students are more inclined to the former than the blog. The results provide an enlightenment and prior step to choosing appropriate sites should learning be situated on social network sites supplement to laboratory's introductory.
{"title":"Engagement In a Virtual Learning on Two Social Networks Of An Engineering course using the Social Network Analysis- An approach using a case study","authors":"Samuel Eneje, S. Sanni, C. F. Pereira","doi":"10.1109/CCECE47787.2020.9255723","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255723","url":null,"abstract":"This study aims to investigate learning engagements in two social networks-blog and Facebook, used for engineering course as a scale-up handle to examine the students ‘participation in learning. The research question it used is finding the extent of studenf's engagement on the formal and the informal virtual learning sites. Engineering students' class' social network sites were used for the class activity and dataset was built from their interactions which further provides the social network analysis and statistical tool data to analyze metrics and properties. Collaborated groups were created by social network analysis. It investigated the connections of participants and unveiled network structure of participants' interactions. It found that a structured network such as Facebook are better suitable for learning interactions than a slapdash structured social network site. The study also found that students are more inclined to the former than the blog. The results provide an enlightenment and prior step to choosing appropriate sites should learning be situated on social network sites supplement to laboratory's introductory.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125052924","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}
Pub Date : 2020-08-30DOI: 10.1109/CCECE47787.2020.9255781
Shichao Liu, R. Kosuru, C. Mugombozi
Microgrids' dependency on communication links exposes the control systems to cyber attack threats. In this work, instead of designing reactive defense approaches, a proacitve moving target defense mechanism is proposed for securing microgrid secondary frequency control from denial of service (DoS) attack. The sensor data is transmitted by following a Markov process, not in a deterministic way. This uncertainty will increase the difficulty for attacker's decision making and thus significantly reduce the attack space. As the system parameters are constantly changing, a gain scheduling based secondary frequency controller is designed to sustain the system performance. Case studies of a microgrid with four inverter-based DGs show the proposed moving target mechanism can enhance the resiliency of the microgrid control systems against DoS attacks.
{"title":"A Moving Target Approach for Securing Secondary Frequency Control in Microgrids","authors":"Shichao Liu, R. Kosuru, C. Mugombozi","doi":"10.1109/CCECE47787.2020.9255781","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255781","url":null,"abstract":"Microgrids' dependency on communication links exposes the control systems to cyber attack threats. In this work, instead of designing reactive defense approaches, a proacitve moving target defense mechanism is proposed for securing microgrid secondary frequency control from denial of service (DoS) attack. The sensor data is transmitted by following a Markov process, not in a deterministic way. This uncertainty will increase the difficulty for attacker's decision making and thus significantly reduce the attack space. As the system parameters are constantly changing, a gain scheduling based secondary frequency controller is designed to sustain the system performance. Case studies of a microgrid with four inverter-based DGs show the proposed moving target mechanism can enhance the resiliency of the microgrid control systems against DoS attacks.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129005411","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}
Pub Date : 2020-08-30DOI: 10.1109/CCECE47787.2020.9255710
Hamid Hajaje, Z. Guennoun, M. Guennoun
This paper proposes a novel cryptosystem (PMTRU) that is a variant of the NTRU public key cryptosystem. PMTRU combines the advantages of the NTRU and its other variant, MATRU. We prove analytically that our cryptosystem improves the speed of encryption and decryption procedures, and significantly increases the security level of the private key. Compared to NTRU and MATRU, PMTRU greatly improves resistance against brute-force and lattice-based attacks, while decreasing the memory space required to register the public key and ciphertexts.
{"title":"PMTRU: An Efficient and Resistant Variant of the NTRU Public Key Cryptosystem","authors":"Hamid Hajaje, Z. Guennoun, M. Guennoun","doi":"10.1109/CCECE47787.2020.9255710","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255710","url":null,"abstract":"This paper proposes a novel cryptosystem (PMTRU) that is a variant of the NTRU public key cryptosystem. PMTRU combines the advantages of the NTRU and its other variant, MATRU. We prove analytically that our cryptosystem improves the speed of encryption and decryption procedures, and significantly increases the security level of the private key. Compared to NTRU and MATRU, PMTRU greatly improves resistance against brute-force and lattice-based attacks, while decreasing the memory space required to register the public key and ciphertexts.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130962202","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}
Pub Date : 2020-08-30DOI: 10.1109/CCECE47787.2020.9255818
Joseph Gotengco, J. Tran, Jason Soukchamroeun, Diego Felix de Almeida, Michal Aibin
Energy reduction and conservation is gaining interest in our society rapidly in the last decade. In this paper, we design an energy-efficient algorithm for the problem of Routing, Modulation, Core and Spectrum Assignment in Spectrally-Spatially Flexible Optical Networks (SS-FON). We then evaluate our approach using existing, real-life networks in the simulation testbed. Two primary metrics of the evaluation are energy usage, which directly relates to the operational cost of the networks, as well as bandwidth blocking probability, which affects how many customers network operators can serve. Our algorithm achieves similar efficiency for routing as the ones in the literature with the average double reduction of the energy consumption.
{"title":"Energy Consumption Reduction of the Spectrally-Spatially Flexible Optical Networks Based on the Energy Savings Algorithm","authors":"Joseph Gotengco, J. Tran, Jason Soukchamroeun, Diego Felix de Almeida, Michal Aibin","doi":"10.1109/CCECE47787.2020.9255818","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255818","url":null,"abstract":"Energy reduction and conservation is gaining interest in our society rapidly in the last decade. In this paper, we design an energy-efficient algorithm for the problem of Routing, Modulation, Core and Spectrum Assignment in Spectrally-Spatially Flexible Optical Networks (SS-FON). We then evaluate our approach using existing, real-life networks in the simulation testbed. Two primary metrics of the evaluation are energy usage, which directly relates to the operational cost of the networks, as well as bandwidth blocking probability, which affects how many customers network operators can serve. Our algorithm achieves similar efficiency for routing as the ones in the literature with the average double reduction of the energy consumption.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126035614","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}
Pub Date : 2020-08-30DOI: 10.1109/CCECE47787.2020.9255798
V. Asgharian, M. Abdelaziz
Environmental concerns and limits on CO2 emissions entail expanding the capacity of renewable generation units. However, the increase in the renewable generation capacity can significantly impact the hosting power system voltage stability. Therefore, the consideration of voltage stability in the expansion planning problem is of an increasing importance. In this paper, we present a multi-stage low carbon voltage stability constrained generation and transmission expansion planning (G&TEP) model. The developed G&TEP model accounts for the investment and operation costs of generation units and transmission lines, as well as the load and wind curtailment costs, and determines the optimal installation year and location for transmission lines and generation units to meet the anticipated load demand increase. The voltage collapse proximity indicator (VCPI), which is a line voltage stability index based technique, is used to account for the voltage stability of the developed expansion plans. To this end, the VCPI is incorporated in the G&TEP model to guarantee an acceptable level of voltage stability for the developed expansion plans over the planning horizon. The effectiveness of the proposed framework is validated using numerical cases studies on the IEEE 24-bus RTS test system developed in General Algebraic Modeling System (GAMS) environment.
{"title":"Voltage Stability Constrained Low-Carbon Generation & Transmission Expansion Planning","authors":"V. Asgharian, M. Abdelaziz","doi":"10.1109/CCECE47787.2020.9255798","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255798","url":null,"abstract":"Environmental concerns and limits on CO2 emissions entail expanding the capacity of renewable generation units. However, the increase in the renewable generation capacity can significantly impact the hosting power system voltage stability. Therefore, the consideration of voltage stability in the expansion planning problem is of an increasing importance. In this paper, we present a multi-stage low carbon voltage stability constrained generation and transmission expansion planning (G&TEP) model. The developed G&TEP model accounts for the investment and operation costs of generation units and transmission lines, as well as the load and wind curtailment costs, and determines the optimal installation year and location for transmission lines and generation units to meet the anticipated load demand increase. The voltage collapse proximity indicator (VCPI), which is a line voltage stability index based technique, is used to account for the voltage stability of the developed expansion plans. To this end, the VCPI is incorporated in the G&TEP model to guarantee an acceptable level of voltage stability for the developed expansion plans over the planning horizon. The effectiveness of the proposed framework is validated using numerical cases studies on the IEEE 24-bus RTS test system developed in General Algebraic Modeling System (GAMS) environment.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"54 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114132441","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}
Pub Date : 2020-08-30DOI: 10.1109/CCECE47787.2020.9255760
Javad Khodabakhsh, E. Mohammadi, G. Moschopoulos
Islanded microgrids are an inexpensive way to supply electricity to consumers in remote areas. They consist of synchronous diesel generators, distributed generators (DGs) that use renewable energy resources, energy storage systems (ESSs), and loads. The low inertia of the DGs; however, interfaces increase the complexity of frequency control in islanded microgrids and increases the possibility of system instability. In this paper, a new frequency control framework that is based on using single-stage AC-DC converters as virtual synchronous machine (VSM) smart loads to emulate the behavior of a synchronous machine (SM) is proposed to increase system inertia and reduce frequency oscillations. The AC-DC converter is based on a new topology that has been proposed by the authors. In this paper, the topology and the control system are explained and an IEEE 37 bus test feeder with the smart loads is simulated as an islanded microgrid. It is shown that using the proposed smart load results in frequency fluctuations being damped considerably faster.
{"title":"Primary Frequency Control in Islanded Microgrids Using a Novel Smart Load","authors":"Javad Khodabakhsh, E. Mohammadi, G. Moschopoulos","doi":"10.1109/CCECE47787.2020.9255760","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255760","url":null,"abstract":"Islanded microgrids are an inexpensive way to supply electricity to consumers in remote areas. They consist of synchronous diesel generators, distributed generators (DGs) that use renewable energy resources, energy storage systems (ESSs), and loads. The low inertia of the DGs; however, interfaces increase the complexity of frequency control in islanded microgrids and increases the possibility of system instability. In this paper, a new frequency control framework that is based on using single-stage AC-DC converters as virtual synchronous machine (VSM) smart loads to emulate the behavior of a synchronous machine (SM) is proposed to increase system inertia and reduce frequency oscillations. The AC-DC converter is based on a new topology that has been proposed by the authors. In this paper, the topology and the control system are explained and an IEEE 37 bus test feeder with the smart loads is simulated as an islanded microgrid. It is shown that using the proposed smart load results in frequency fluctuations being damped considerably faster.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122772747","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}
Pub Date : 2020-08-30DOI: 10.1109/CCECE47787.2020.9255810
H. Tabrizi, S. Magierowski, E. Ghafar-Zadeh
CMOS capacitive sensors have shown to be efficient label-free alternatives for optical methods in life-science applications. Their applicability to cellular monitoring for drug discovery has recently gained attraction. Solutions in the literature are typically customized for and tested by specific types of cells. This paper presents circuits and preliminary results on a versatile CMOS capacitive sensor for cellular monitoring. A new circuit and testbench is demonstrated that enjoys high linearity and achieves more than two times higher dynamic range compared to the state-of-the-art. In addition, adjustable sensitivity allows achieving higher sensitivity than reported in the literature. Results are obtained based on the implementation of the circuits in TSMC 0.18 µm technology.
{"title":"Toward Versatile CMOS Capacitive Sensors for Cellular Monitoring","authors":"H. Tabrizi, S. Magierowski, E. Ghafar-Zadeh","doi":"10.1109/CCECE47787.2020.9255810","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255810","url":null,"abstract":"CMOS capacitive sensors have shown to be efficient label-free alternatives for optical methods in life-science applications. Their applicability to cellular monitoring for drug discovery has recently gained attraction. Solutions in the literature are typically customized for and tested by specific types of cells. This paper presents circuits and preliminary results on a versatile CMOS capacitive sensor for cellular monitoring. A new circuit and testbench is demonstrated that enjoys high linearity and achieves more than two times higher dynamic range compared to the state-of-the-art. In addition, adjustable sensitivity allows achieving higher sensitivity than reported in the literature. Results are obtained based on the implementation of the circuits in TSMC 0.18 µm technology.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132751296","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}
Pub Date : 2020-08-30DOI: 10.1109/CCECE47787.2020.9255744
Abu Bony Amin, M. S. Ullah
According to the demand of present era, carbon nanotubes are getting closer attention as VLSI high speed interconnects. This consequence drives us to conduct our research on the performance evaluation of different configurations of MWCNT bundle as interconnect based on the propagation delay estimation. Throughout this paper, we are going to propose our own configuration model, named Squarely packed Dimorphic MWCNT, develop mathematical model for different circuit elements i.e. Resistance, Capacitance and Inductance. Finally, we are going to put a decision regarding the configuration with better performance by simulating different configuration and different interconnect material using MATLAB.
{"title":"Performance Analysis of Squarely Packed Dimorphic MWCNT Bundle for High Speed VLSI Interconnect","authors":"Abu Bony Amin, M. S. Ullah","doi":"10.1109/CCECE47787.2020.9255744","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255744","url":null,"abstract":"According to the demand of present era, carbon nanotubes are getting closer attention as VLSI high speed interconnects. This consequence drives us to conduct our research on the performance evaluation of different configurations of MWCNT bundle as interconnect based on the propagation delay estimation. Throughout this paper, we are going to propose our own configuration model, named Squarely packed Dimorphic MWCNT, develop mathematical model for different circuit elements i.e. Resistance, Capacitance and Inductance. Finally, we are going to put a decision regarding the configuration with better performance by simulating different configuration and different interconnect material using MATLAB.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132231242","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}
Pub Date : 2020-08-30DOI: 10.1109/CCECE47787.2020.9255811
A. Alnoman
Edge computing provides cloud-like services at the network edge near mobile users. Due to the prosperity of smart applications that involve computing-intensive tasks, edge devices are intended to provide sufficient amounts of resources in order to accommodate the increasing computing demands. However, computing resources could also suffer being underutilized which leads to both resource and energy wastage. In this paper, heterogeneous virtual machine (VM) allocation in edge computing is considered to cope with the different computing demands at each edge device. To this end, an unsupervised machine learning technique, namely, the K-means is used to cluster incoming tasks into three different categories according to their processing requirements. Afterwards, tasks belonging to each cluster will be allocated the appropriate type of VMs to better utilize the computing resources. Results show the effectiveness of the proposed scheme in clustering computing tasks and improving resource utilization in edge devices.
{"title":"Machine Learning-Based Task Clustering for Enhanced Virtual Machine Utilization in Edge Computing","authors":"A. Alnoman","doi":"10.1109/CCECE47787.2020.9255811","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255811","url":null,"abstract":"Edge computing provides cloud-like services at the network edge near mobile users. Due to the prosperity of smart applications that involve computing-intensive tasks, edge devices are intended to provide sufficient amounts of resources in order to accommodate the increasing computing demands. However, computing resources could also suffer being underutilized which leads to both resource and energy wastage. In this paper, heterogeneous virtual machine (VM) allocation in edge computing is considered to cope with the different computing demands at each edge device. To this end, an unsupervised machine learning technique, namely, the K-means is used to cluster incoming tasks into three different categories according to their processing requirements. Afterwards, tasks belonging to each cluster will be allocated the appropriate type of VMs to better utilize the computing resources. Results show the effectiveness of the proposed scheme in clustering computing tasks and improving resource utilization in edge devices.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133821948","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}
Pub Date : 2020-08-30DOI: 10.1109/CCECE47787.2020.9255683
N. Reginald, Jaho Seo, Abdullah Rasul
This study proposes an effective control strategy for autonomous excavation under complex ground conditions, by integrating position, contour, and force control that are mutually associated factors. For the position control strategy, a non-linear PI controller was devised to control the stroke of each hydraulic cylinder, and therefore the bucket tip's position. To compensate for the ground resistive forces in contact space, an impedance controller was designed. Finally, contour compensation was considered to generate an optimal path of the bucket tip for ground leveling tasks. The performance of developed control algorithms was evaluated in the case of ground leveling task through co-simulation in multi-physics domains. Simulation results show that the designed control scheme provides good results in terms of transient response and tracking accuracy by dealing with all the aspects of force, position, and contour compensation.
{"title":"Tracking Control of Force, Position, and Contour for an Excavator with Co-simulation","authors":"N. Reginald, Jaho Seo, Abdullah Rasul","doi":"10.1109/CCECE47787.2020.9255683","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255683","url":null,"abstract":"This study proposes an effective control strategy for autonomous excavation under complex ground conditions, by integrating position, contour, and force control that are mutually associated factors. For the position control strategy, a non-linear PI controller was devised to control the stroke of each hydraulic cylinder, and therefore the bucket tip's position. To compensate for the ground resistive forces in contact space, an impedance controller was designed. Finally, contour compensation was considered to generate an optimal path of the bucket tip for ground leveling tasks. The performance of developed control algorithms was evaluated in the case of ground leveling task through co-simulation in multi-physics domains. Simulation results show that the designed control scheme provides good results in terms of transient response and tracking accuracy by dealing with all the aspects of force, position, and contour compensation.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"98 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114016035","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}
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