Fuzzy PID Control of Quadrotor Aircraft with Self-Tuning Quantization Factors

GE Lin; WANG Hua

doi:10.3969/j.issn.1671-637x.2017.07.019

[1] RIZOUG N. Adaptive neural network control based on neural observer for quadrotor unmanned aerial vehicle［J］. Advanced Robotics, 2014, 28(17): 1151-1164.

[2] ZHAO S, AN H, ZHANG D, et al. A new feedback linear-ization LQR control for attitude of quadrotor［C］//International Conference on Control Automation Robotics & Vision, IEEE, 2014: 1593-1597.

[3] BOUADI H, SIMOES CUNHA S, DROUIN A, et al. Adaptive sliding mode control for quadrotor attitude stabilization and altitude tracking［C］//IEEE 12th International Symposium on Computational Intelligence and Informatics (CINTI), 2011: 449-455.

[5] MANN G I, HU B G, GOSINE R G. Analysis of direct action fuzzy PID controller structures［J］. IEEE Transactions on Systems Man & Cybernetics, Part B Cybernetics, A Publication of the IEEE Systems Man & Cybernetics Society, 1999, 29(3): 371-388.

[6] FILIP I, SZEIDERT I. Adaptive fuzzy PI controller with shifted control singletons［J］. Expert Systems with Applications, 2016, 54(3): 1-12.

[7] WEI V S. A novel design of fuzzy PID controllers for dual-sensor cardiac pacemaker systems［J］. Open Journal of Applied Biosensor, 2013, 2(2): 29-38.

[8] WU Z Q, MIZUMOTO M. PID type fuzzy controller and parameters adaptive method［J］. Fuzzy Sets & Systems, 1996, 78(1): 23-35.

[9] YESIL E, GüZELKAYA M, EKSIN I. Self tuning fuzzy PID type load and frequency controller［J］. Energy Conversion & Management, 2004, 45(3): 377-390.

[10] PAN I, DAS S, GUPTA A. Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay［J］. Isa Transactions, 2011, 50(1): 28-36.