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Byline: Zhi-cheng Wu, Quan-min Zhu, Alan Winfield, Si-zhong Chen Fuzzy control of controllable vehicle suspension system and co-simulation with ADAMS and MATLAB is introduced. A linear quarter car 2-DOF suspension model and a non-linear ADAMS solid model are compared. A fuzzy controller which introduces the body acceleration and suspension travel as input and selects stiffness and damping coefficient as output control for control suspension system is designed. The co-simulation of the fuzzy control for controllable suspension with ADAMS and MATLAB is completed. From the results, the fuzzy controller can effectively operate under variable work conditions.

Byline: Yue Ma, Quan Min Zhu, Alan Winfield, Qingdong Yan In this paper, an integrated procedure is developed in modelling and simulation of vehicle braking performance from a number of critical factors, which include vehicle-ground, engine, hydrodynamic torque converter and retarder (TC-R) and gearbox. In the technique development, a new application mode of TC-R, automatic shifting rules, is considered as braking strength which is affected by the gear state in the gearbox. Then two schemas of transmission are carried out in Matlab/Simulink simulations to initially test the model credibility and efficiency. The results show that to improve the braking performance of TC-R, the gearbox should shift to lower gear state as early as possible and an increasing-speed box should be added between the engine and the TC-R to protect the engine and maintain the braking performance.

Byline: Quan Min Zhu, Xiao Wei Sun, A.G. Pipe During Electroacupuncture (EA) therapy a sequence of pulsed electrical current is applied through a particular acupoint, to stimulate a patient's nerves and muscles. Human nerve systems can progressively develop adaptation to the electric stimulus and this can lead to a gradual fading away of sensation to the EA therapy. This phenomenon is called Electroacupuncture Accommodation (EAA) and occurs quite often in EA. Since the accommodation reduces the therapeutic effect dramatically, an extra dosage of current is normally supplemented to recover the therapeutic progress. In this study, an Electroacupuncture Accommodation Overcoming (EAAO) system, based on a Fuzzy Decision-Making (FDM) mechanism is developed. The imprecise and linguistic characteristics of EA knowledge are efficiently processed through the EAAO system to provide a selection of Pulse Amplitude (PA) and Pulse Width (PW) in forming the stimulating pulses that is based on an analysis of human expert knowledge. A simulated case study and a clinical test are presented to show the effectiveness of the proposed EAAO system.