@article{MAKHILLJEAS20138613397,
    title = {Tuning Process of Single Input Fuzzy Logic Controller Based on Linear Control Surface Approximation Method for Depth Control of Underwater Remotely Operated Vehicle},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {8},
    number = {6},
    pages = {208-214},
    year = {2013},
    issn = {1816-949x},
    doi = {jeasci.2013.208.214},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2013.208.214},
    author = {M.S.M.,S.S. Abdullah,H.I. Jaafar,M.A.A. Aziz and},
    keywords = {Single input fuzzy logic controller,linear control surface approximation,signed distance method,remotely operated vehicle,Malaysia},
    abstract = {This study investigates the linear approximation or piecewise 
  linear approximation control surface method for tuning variable parameter of 
  Single Input Fuzzy Logic Controller (SIFLC) for depth control of the underwater 
  Remotely Operated Vehicle (ROV). This method will focus on slope of a linear 
  equation to give optimum performances of depth control without overshoot in 
  system response and faster rise time and settling time. The variable parameter 
  for signed distance method in SIFLC tuning by Particle Swarm Optimization (PSO) 
  algorithm. The optimum parameter will be obtained and approximately no more 
  variable parameter can be tuned because the PSO algorithm will yield optimum 
  parameter. This linear control surface approximation method represents an inference 
  engine of fuzzy logic. The investigation also done based on slope of linear 
  equation either in positive and negative values and come up from conventional 
  FLC that will simplify into SIFLC. The results obtained the slope of linear 
  equation will be affecting the results of system performances.}
    }