Abstract
In this paper, a new nonlinear fuzzy-immune proportional-integral derivative (PID) controller is proposed. This controller consists of a PID controller and a basic immune proportional controller in cascaded connection, the nonlinear function of the immune proportional controller is realized by using fuzzy reasoning. The simulations are done on a first-order system with varying parameters and time delay. The superior performance of the proposed controller is demonstrated through an experimental example.
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Liu, D., Xu, Z., Shi, Q., Zhou, J. (2009). Fuzzy Immune PID Temperature Control of HVAC Systems. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_129
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DOI: https://doi.org/10.1007/978-3-642-01510-6_129
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01509-0
Online ISBN: 978-3-642-01510-6
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