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The application of the Linear Quadratic Regulator (LQR) and Fuzzy Logic Controller (FLC) in the field of active vibration isolation for a vehicle suspension system is presented and the performances of the two active controllers are compared with the passive system. The performance of the LQR controller is better than the FLC at the expense of control force. The performances of both active controllers...
According to the Lagrange equation, the mathematical model for the double inverted pendulum is first presented. For the fuzzy controller, the dimension of input varieties of fuzzy controller is depressed by designing a fusion function using optimization control theory, and it can reduce the rules of fuzzy sharply, `rule explosion' problem is solved. The result shows that the LQR-Fuzzy logic controller...
This paper presents a comparative assessment based on time response specification performance between modern and intelligent controller for a pitch control system of an aircraft system. The dynamic modeling of pitch control system is considered on the design an autopilot that controls the pitch angle of an aircraft. It begins with a derivation of suitable mathematical model to describe the dynamics...
Endless rolling multi-drive control system is the position servo control system whose information flow is based on Fieldbus, actuators AC motors, control and amplification devices frequency converters. According to experimental method to establish mathematical models of endless rolling simulation test platform, considering some of the special requirements, the LQR control algorithm based on fuzzy...
In this paper we propose a new fuzzy logic controller (FLC) for unicycle control. The FLC design integrates the linear quadratic regulator (LQR) and the gain-scheduling approach. By comparing FLC with the LQR designed around an operating point, the FLC coefficients can be easily tuned in a systematic way. The new FLC design aims at achieving three objectives: overcoming the difficulty in tuning the...
This paper focuses on controlling a quintuple inverted pendulum (IP) using linear quadratic regulator (LQR) and fuzzy control method. First, the mathematical model of the quintuple IP is presented, and its controllability is verified. Based on the discussion of multiple factors related to the stability of the IP and the LQR theory, a non-diagonal weight matrix is constructed and a method to set the...
The emergence of "fuzzy logic control" (FLC) has been viewed by many researchers as a way of avoiding the need for complex mathematical analyses when developing control systems. Instead, FLC was originally seen as a way of using simple linguistic rules to implement an effective controller. Unfortunately, for many real applications, it has proved difficult to identify an appropriate set of...
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